Franklin's Thermometer, Two-Loop AI Crawlers, and Conserved Wire Denominators

# THE DATA EVERYONE NEEDS
remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'

# Context 1

# THE DATA EVERYONE NEEDS
remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'

# TRIMNOIR
~/repos/trimnoir/_config.yml
~/repos/trimnoir/flake.nix
~/repos/trimnoir/Gemfile
~/repos/trimnoir/index.md
~/repos/trimnoir/_layouts/default.html
~/repos/trimnoir/_layouts/page.html
~/repos/trimnoir/_layouts/post.html
~/repos/trimnoir/assets/main.css

# HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
nixops.sh
remotes/honeybot/hooks/post-receive
remotes/honeybot/nixos/configuration.nix
remotes/honeybot/scripts/stream.py
remotes/honeybot/scripts/score.py
remotes/honeybot/scripts/card.py
remotes/honeybot/scripts/forest.py
remotes/honeybot/scripts/test_forest.py
remotes/honeybot/scripts/logs.py
remotes/honeybot/scripts/content_loader.py
remotes/honeybot/scripts/db.py

rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'

remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
/home/mike/repos/trimnoir/index.md
/home/mike/repos/trimnoir/_layouts/default.html
remotes/honeybot/scripts/forest.py
remotes/honeybot/scripts/db.py

Target: /home/mike/pipulate/remotes/honeybot/queries/content_neg_agents.sql
[[[SEARCH]]]
    CASE
        WHEN ua.value LIKE 'Claude-User (claude-code/%'
        THEN 'Claude-User (claude-code/*; +https://support.anthropic.com/)'
        WHEN ua.value LIKE '%Googlebot%'
         AND i.value NOT LIKE '66.249.%'
         AND i.value NOT LIKE '64.233.%'
         AND i.value NOT LIKE '72.14.%'
         AND i.value NOT LIKE '74.125.%'
         AND i.value NOT LIKE '108.177.%'
         AND i.value NOT LIKE '142.250.%'
         AND i.value NOT LIKE '142.251.%'
         AND i.value NOT LIKE '172.217.%'
         AND i.value NOT LIKE '173.194.%'
         AND i.value NOT LIKE '192.178.%'
         AND i.value NOT LIKE '207.126.%'
         AND i.value NOT LIKE '209.85.%'
         AND i.value NOT LIKE '216.58.%'
         AND i.value NOT LIKE '216.239.%'
        THEN '[SPOOFED-IP] ' || ua.value
        ELSE ua.value
    END as agent, 
[[[DIVIDER]]]
    CASE
        WHEN ua.value LIKE 'Claude-User (claude-code/%'
        THEN 'Claude-User (claude-code/*; +https://support.anthropic.com/)'
        WHEN ua.value LIKE '%ShapBot/%'
        THEN 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko); compatible; ShapBot/0.1.0 (+https://parallel.ai)'
        WHEN ua.value LIKE '%KeenableBot/%'
        THEN 'Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; KeenableBot/1.0; +https://keenable.ai/)'
        WHEN ua.value LIKE '%ExaUser/%'
        THEN 'Mozilla/5.0 (compatible; ExaUser/1.0; +https://crawler.exa.ai/exauser)'
        WHEN ua.value LIKE 'axios/%'
        THEN 'axios/* (Node.js HTTP client)'
        WHEN ua.value LIKE '%Googlebot%'
         AND i.value NOT LIKE '66.249.%'
         AND i.value NOT LIKE '64.233.%'
         AND i.value NOT LIKE '72.14.%'
         AND i.value NOT LIKE '74.125.%'
         AND i.value NOT LIKE '108.177.%'
         AND i.value NOT LIKE '142.250.%'
         AND i.value NOT LIKE '142.251.%'
         AND i.value NOT LIKE '172.217.%'
         AND i.value NOT LIKE '173.194.%'
         AND i.value NOT LIKE '192.178.%'
         AND i.value NOT LIKE '207.126.%'
         AND i.value NOT LIKE '209.85.%'
         AND i.value NOT LIKE '216.58.%'
         AND i.value NOT LIKE '216.239.%'
        THEN '[SPOOFED-IP] Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)'
        ELSE ua.value
    END as agent, 
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/scripts/db.py
[[[SEARCH]]]
    _ROLLUP_BOT_TOKENS = (
        "meta-externalagent",
        "GPTBot",
        "meta-webindexer",
        "OAI-SearchBot",
        "Claude-User",
        "KeenableBot",
        "Bytespider",
        "axios",
        "Googlebot/",
    )
[[[DIVIDER]]]
    _ROLLUP_BOT_TOKENS = (
        "meta-externalagent",
        "GPTBot",
        "meta-webindexer",
        "OAI-SearchBot",
        "Claude-User",
        "ShapBot",
        "KeenableBot",
        "ExaUser",
        "Bytespider",
        "axios",
        "Googlebot/",
    )
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
        is_window_report = (
            isinstance(capstone_cue, tuple)
            and len(capstone_cue) >= 2
            and capstone_cue[0] == "WINDOW"
            and any(tag in str(capstone_cue[1]) for tag in (":overview", ":bimodal", ":schism", ":rfc9421", ":doors"))
        )
[[[DIVIDER]]]
        is_window_report = (
            isinstance(capstone_cue, tuple)
            and len(capstone_cue) >= 2
            and capstone_cue[0] == "WINDOW"
            and any(tag in str(capstone_cue[1]) for tag in (":overview", ":markdown", ":bimodal", ":schism", ":rfc9421", ":doors"))
        )
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    # Bead 0 (EVEN -> Rich Horizontal-Bar Telemetry Report: Overview)
    _make_station_bead(
        "WEB BOT AI\nOBSERVATORY",
        (
            "Hello, and welcome to the Web Bot A I Observatory on Honeybot. "
            "What you are looking at is the unmediated, bare-metal heartbeat of a Nix O S web server hosted from home."
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:overview"),
        [
            "This live telemetry card pulls straight from our SQLite wire ledger.",
            "The first horizontal bar tracks R F C 9110 Markdown adoption along our zero to twenty percent horizon.",
            "The second bar compares DOM hydration JavaScript executions against raw Markdown reads, while the bottom bars track R F C 9421 cryptographic bot signatures and unmasked Googlebot cloakers.",
        ],
    ),
[[[DIVIDER]]]
    # Bead 0 (EVEN -> Rich Horizontal-Bar Telemetry Report: RFC 9110 Markdown 0-1% Horizon + UA Breakdown)
    _make_station_bead(
        "RFC 9110\nMARKDOWN",
        (
            "Hello, and welcome to the Web Bot A I Observatory on Honeybot. "
            "Like Benjamin Franklin dropping a thermometer into the Gulf Stream or Wilhelm Roentgen mailing Lord Kelvin an X-ray plate, "
            "we measure A I crawler behavior directly on the bare-metal wire."
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:overview"),
        [
            "Look first at the single cyan bar across the very top of this report.",
            "That top bar merely shows the share of all H T T P responses served as Markdown on a scale from zero to one percent -- not a percentage of User-Agents, which version churn distorts, but point three three percent of all one point five eight million origin responses, already one third of the way to our one percent milestone.",
            "Now look at the stacked horizontal bars below the divider, which break that Markdown activity from above out by individual User-Agent, with version-spinning agents like Claude Code grouped into a single row.",
            "Exa Search Bot leads at nearly half of all negotiated Markdown reads, followed by Parallel dot A I's ShapBot, unmasked Googlebot I P cloakers, Keenable Bot, SleepBot, CorpusBot, and Anthropic's Claude User.",
        ],
    ),
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    if mode in ("overview", "bimodal", "rfc9421"):
        cneg_limit = 7 if mode == "bimodal" else 30
        cneg_rows = db.get_content_neg_agents(limit=cneg_limit)
        spoof_md = sum(int(c) for u, c in cneg_rows if str(u).startswith("[SPOOFED-IP]"))
        total_cneg = max(1, sum(int(c) for _, c in cneg_rows))
        spoof_pct = round((spoof_md / total_cneg) * 100.0, 1)
        auth_pct = round(100.0 - spoof_pct, 1)
[[[DIVIDER]]]
    if mode in ("overview", "markdown", "bimodal", "rfc9421"):
        cneg_limit = 7 if mode == "bimodal" else 30
        cneg_rows = db.get_content_neg_agents(limit=cneg_limit)
        spoof_md = sum(int(c) for u, c in cneg_rows if str(u).startswith("[SPOOFED-IP]"))
        total_cneg = max(1, sum(int(c) for _, c in cneg_rows))
        spoof_pct = round((spoof_md / total_cneg) * 100.0, 1)
        auth_pct = round(100.0 - spoof_pct, 1)
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    else:
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute("SELECT COALESCE(SUM(l.count), 0) FROM daily_logs l JOIN paths p ON l.path_id = p.id WHERE p.value LIKE '%.md%'")
        md_reads = int((cur.fetchone() or [0])[0] or 0)
        md_pct = round((md_reads / max(1, total_hits)) * 100.0, 2)
        md_horizon_pct = min(100.0, round((md_pct / 20.0) * 100.0, 1))

        cur.execute("SELECT COALESCE(SUM(l.count), 0) FROM daily_logs l JOIN paths p ON l.path_id = p.id WHERE p.value LIKE '%js_confirm.gif%'")
        js_hits = int((cur.fetchone() or [0])[0] or 0)
        bimodal_total = max(1, js_hits + md_reads)
        js_share = round((js_hits / bimodal_total) * 100.0, 1)
        md_share = round(100.0 - js_share, 1)

        sig_clients, sig_events = db.get_rfc9421_summary()
        title_str = "🔭 WEB BOT AI OBSERVATORY — LIVE SQLITE WIRE TELEMETRY (MIKELEV.IN)"
        tbl.add_column("Web AI Standard Metric", style="bold white", ratio=3)
        tbl.add_column("Reading", justify="right", style="bold cyan", width=18)
        tbl.add_column("Horizontal Gauge", ratio=4)
        tbl.add_row(
            "1. RFC 9110 Markdown Horizon (0% → 20%)",
            f"{md_pct}% ({md_reads:,} .md)",
            f"{_bar(md_horizon_pct, 28, 'cyan')} [cyan]{md_horizon_pct}% of 20%[/cyan]",
        )
        tbl.add_row(
            "2a. ⚡ DOM Hydration Trapdoor (JS Execs)",
            f"{js_hits:,} ({js_share}%)",
            _bar(js_share, 28, "yellow"),
        )
        tbl.add_row(
            "2b. 🧠 RFC 9110 Raw Markdown Delivery",
            f"{md_reads:,} ({md_share}%)",
            _bar(md_share, 28, "cyan"),
        )
        tbl.add_row(
            "3. 🔷 RFC 9421 Web Bot Auth (Signed)",
            f"{sig_events:,} hits · {sig_clients} clients",
            _bar(min(100.0, sig_clients * 12.0), 28, "deep_sky_blue1"),
        )
        tbl.add_row(
            "4a. 🛑 Unmasked Cloakers (Spoofed IP)",
            f"{spoof_md:,} ({spoof_pct}%)",
            _bar(spoof_pct, 28, "red"),
        )
        tbl.add_row(
            "4b. 🟠 Authentic Self-Asserted Bot UAs",
            f"{total_cneg - spoof_md:,} ({auth_pct}%)",
            _bar(auth_pct, 28, "dark_orange"),
        )
[[[DIVIDER]]]
    else:
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute("SELECT COALESCE(SUM(l.count), 0) FROM daily_logs l JOIN paths p ON l.path_id = p.id WHERE p.value LIKE '%.md%'")
        md_reads = int((cur.fetchone() or [0])[0] or 0)
        md_pct = round((md_reads / max(1, total_hits)) * 100.0, 2)
        md_horizon_1pct = min(100.0, round((md_pct / 1.0) * 100.0, 1))

        title_str = "🧠 RFC 9110 MARKDOWN ADOPTION (0% → 1.0% OF ALL HTTP RESPONSES) & USER-AGENT BREAKDOWN"
        tbl.add_column("Reads", justify="right", style="bold cyan", width=8, no_wrap=True)
        tbl.add_column("Horizon / Bot Identity", style="bold white", width=25, no_wrap=True)
        tbl.add_column("Denominator Key / Grouped User-Agent Signature", ratio=4, no_wrap=True)
        tbl.add_column("Horizontal Bar & Share", width=38, no_wrap=True)
        tbl.add_row(
            f"{md_reads:,}",
            Text("🎯 0% → 1.0% HORIZON", style="bold bright_cyan"),
            Text(
                f"Share of all {total_hits:,} HTTP responses (not % of UAs · {total_cneg:,} strict Accept: text/markdown)",
                style="bold white",
            ),
            f"{_bar(md_horizon_1pct, 22, 'bright_cyan')} [bold bright_cyan]{md_pct}% / 1.0%[/bold bright_cyan]",
        )
        tbl.add_section()
        max_md = max([int(c) for _, c in cneg_rows[:10]] or [1])
        for ua, cnt in cneg_rows[:10]:
            badge, ident_txt, sig_txt = _format_bot_identity_and_sig(ua, known_bots=KNOWN_BOTS, max_sig_len=50)
            sensor_ident = Text.assemble(("🧠 ", "bold cyan"), ident_txt)
            color = "red" if badge == "🛑" else ("deep_sky_blue1" if badge == "🔷" else "cyan")
            share_of_md = round((int(cnt) / max(1, total_cneg)) * 100.0, 1)
            tbl.add_row(
                f"{int(cnt):,}",
                sensor_ident,
                sig_txt,
                f"{_bar((int(cnt) / max_md) * 100.0, 22, color)} [{color}]{share_of_md:>4.1f}% of MD[/{color}]",
            )
[[[REPLACE]]]

Target: /home/mike/repos/trimnoir/_layouts/default.html
[[[SEARCH]]]
  .kpi-grid {
    display: grid;
    grid-template-columns: repeat(auto-fit, minmax(220px, 1fr));
    gap: 0.6rem;
  }
  .kpi-card {
    display: flex;
    flex-direction: column;
    gap: 0.22rem;
    padding: 0.45rem 0.6rem;
    border-radius: 8px;
    background: rgba(255, 255, 255, 0.03);
    border: 1px solid rgba(255, 255, 255, 0.07);
  }
  .kpi-top {
    display: flex;
    align-items: center;
    justify-content: space-between;
    gap: 0.35rem;
  }
  .kpi-scale-tag {
    font-size: 0.62rem;
    opacity: 0.7;
    font-family: monospace;
  }
  .kpi-meter {
    width: 100%;
    height: 24px;
    display: block;
    overflow: visible;
  }
[[[DIVIDER]]]
  .kpi-grid {
    display: grid;
    grid-template-columns: 1fr;
    gap: 0.65rem;
  }
  .kpi-card {
    display: flex;
    flex-direction: column;
    gap: 0.25rem;
    padding: 0.55rem 0.75rem;
    border-radius: 8px;
    background: rgba(255, 255, 255, 0.03);
    border: 1px solid rgba(255, 255, 255, 0.07);
  }
  .kpi-top {
    display: flex;
    align-items: center;
    justify-content: space-between;
    flex-wrap: wrap;
    gap: 0.35rem;
  }
  .kpi-scale-tag {
    font-size: 0.66rem;
    opacity: 0.82;
    font-family: monospace;
  }
  .kpi-meter {
    width: 100%;
    height: auto;
    max-height: 36px;
    display: block;
    overflow: visible;
  }
[[[REPLACE]]]

Target: /home/mike/repos/trimnoir/index.md
[[[SEARCH]]]
<!-- START_OBSERVATORY_METRICS -->
<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">
  <div class="kpi-header-row">
    <div class="kpi-brand">
      <span class="kpi-pulse" aria-hidden="true"></span>
      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>
      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>2026-11-02T06:50Z</code></span>
    </div>
    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>
  </div>
  <div class="kpi-grid">
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">0.33% <span class="kpi-badge-cyan">5,230 .md reads</span></span>
        <span class="kpi-scale-tag">0% → 20% Horizon</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 20 percent horizon scale">
        <title>RFC 9110 Markdown Share: 0.33% of all origin responses (1.65% of the 20% adoption horizon)</title>
        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="50" y1="2" x2="50" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="150" y1="2" x2="150" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="3.3" height="6" rx="3" fill="#06b6d4"></rect>
        <circle cx="3.5" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="46" y="20" class="kpi-tick">5%</text>
        <text x="93" y="20" class="kpi-tick">10%</text>
        <text x="143" y="20" class="kpi-tick">15%</text>
        <text x="180" y="20" class="kpi-tick">20%</text>
      </svg>
      <div class="kpi-lbl">RFC 9110 <code>Accept: text/markdown</code> Adoption</div>
    </div>
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">5,214 <span class="kpi-badge-amber">49.9% JS</span> vs. 5,230 <span class="kpi-badge-cyan">50.1% .md</span></span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Bimodal split between JS trapdoor executions and RFC 9110 Markdown reads">
        <title>Bimodal AI Sensor Split: 5,214 JS executions (49.9%) vs. 5,230 Markdown reads (50.1%)</title>
        <rect x="0" y="4" width="99.8" height="6" rx="3" fill="#f59e0b"></rect>
        <rect x="99.8" y="4" width="100.2" height="6" rx="3" fill="#06b6d4"></rect>
        <text x="0" y="20" class="kpi-tick">⚡ JS Trapdoor (40 IPs · OAI-SearchBot)</text>
        <text x="148" y="20" class="kpi-tick">🧠 RFC 9110</text>
      </svg>
      <div class="kpi-lbl">Bimodal AI Sensor Split (DOM Hydration vs. Raw Markdown)</div>
    </div>
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">691 <span class="kpi-badge-cyan">🔷 Signed Hits</span> · 11 <span class="kpi-badge-cyan">Clients</span></span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9421 Web Bot Auth cryptographic agent adoption">
        <title>RFC 9421 Web Bot Auth: 691 cryptographically signed requests across 11 verified bot operators (ExaSearchBot, AhrefsBot, DesearchBot)</title>
        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <rect x="0" y="4" width="200.0" height="6" rx="3" fill="#38bdf8"></rect>
        <circle cx="200.0" cy="7" r="3.8" fill="#38bdf8" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">🔷 ExaSearchBot · AhrefsBot · DesearchBot</text>
      </svg>
      <div class="kpi-lbl">RFC 9421 <code>Web Bot Auth</code> (<code>Signature-Agent</code>)</div>
    </div>
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">377 <span class="kpi-badge-red">🛑 10.1% Cloaked</span> vs. 3,352 <span class="kpi-badge-amber">🟠 89.9% Bot UA</span></span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Proportion of spoofed Googlebot IPs versus authentic self-asserted bots negotiating Markdown">
        <title>Markdown Bot Forensics: 377 IP-spoofed Googlebot reads (10.1%) vs. 3,352 authentic self-asserted bot reads (89.9%)</title>
        <rect x="0" y="4" width="20.2" height="6" rx="3" fill="#ef4444"></rect>
        <rect x="20.2" y="4" width="179.8" height="6" rx="3" fill="#f97316"></rect>
        <text x="0" y="20" class="kpi-tick">🛑 Spoofed Googlebot IPs</text>
        <text x="118" y="20" class="kpi-tick">🟠 Self-Asserted Bots</text>
      </svg>
      <div class="kpi-lbl">Unmasked Cloakers in RFC 9110 Markdown Stream</div>
    </div>
  </div>
</div>
<!-- END_OBSERVATORY_METRICS -->
[[[DIVIDER]]]
<!-- START_OBSERVATORY_METRICS -->
<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">
  <div class="kpi-header-row">
    <div class="kpi-brand">
      <span class="kpi-pulse" aria-hidden="true"></span>
      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>
      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>2026-11-02T06:50Z</code></span>
    </div>
    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>
  </div>
  <div class="kpi-grid">
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">0.33% of All HTTP Responses <span class="kpi-badge-cyan">5,230 .md deliveries</span> <span class="kpi-badge-cyan">3,735 Accept: text/markdown</span></span>
        <span class="kpi-scale-tag">0% → 1.0% Horizon (33% of Goal)</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 1.0 percent scale of all origin HTTP responses">
        <title>RFC 9110 Markdown Share: 0.33% of all ~1.58M origin HTTP responses (one-third of the way to the 1.0% adoption milestone)</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="132.0" height="6" rx="3" fill="#06b6d4"></rect>
        <circle cx="132.0" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="92" y="20" class="kpi-tick">0.25%</text>
        <text x="192" y="20" class="kpi-tick">0.50%</text>
        <text x="292" y="20" class="kpi-tick">0.75%</text>
        <text x="380" y="20" class="kpi-tick">1.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>🧠 RFC 9110 <code>Accept: text/markdown</code> Horizon:</strong> Share of all ~1.58M origin HTTP responses served as Markdown (never % of User-Agents) on our way to a 1.0% adoption milestone — led by ExaSearchBot (1,793), ShapBot (839), and Claude-User (106).</div>
    </div>
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">5,214 JS Trapdoor Executions <span class="kpi-badge-amber">0.33% of All HTTP Responses</span> <span class="kpi-badge-amber">40 Top Non-Local IPs</span></span>
        <span class="kpi-scale-tag">0% → 1.0% Horizon (DOM Hydration)</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 1.0 percent scale of all origin HTTP responses">
        <title>JavaScript DOM Hydration Trapdoor: 5,214 executions of the 800ms setTimeout /api/telemetry/js_confirm.gif sensor</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="131.6" height="6" rx="3" fill="#f59e0b"></rect>
        <circle cx="131.6" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="92" y="20" class="kpi-tick">0.25%</text>
        <text x="192" y="20" class="kpi-tick">0.50%</text>
        <text x="292" y="20" class="kpi-tick">0.75%</text>
        <text x="380" y="20" class="kpi-tick">1.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Requests firing our 800ms client-side <code>js_confirm.gif</code> sensor — proving headless browser execution by OAI-SearchBot, GPTBot, and cloud renderers.</div>
    </div>
  </div>
</div>
<!-- END_OBSERVATORY_METRICS -->
[[[REPLACE]]]

./nixops.sh

Now let's do the same high-integrity treatment for the second bar on the homepage and the second station-break report in remotes/honeybot/scripts/forest.py: the JavaScript DOM Hydration Trapdoor (remotes/honeybot/queries/trapdoor_ips.sql). Verify the AFTER receipts from Turn 1 first, then make the DOM hydration trapdoor bar and its breakdown report just as clear, grouped, and unmistakable, with narration guiding the viewer's eyes from the top bar down to the stacked breakdown bars below.

git -C ~/repos/trimnoir add index.md _layouts/default.html && git -C ~/repos/trimnoir commit -m "Scale homepage RFC 9110 Markdown bar to 0-1% HTTP response horizon" && git -C ~/repos/trimnoir push

# # Context 1
# 
# # THE DATA EVERYONE NEEDS
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/index.md
# ~/repos/trimnoir/_layouts/default.html
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css
# 
# # HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
# nixops.sh
# remotes/honeybot/hooks/post-receive
# remotes/honeybot/nixos/configuration.nix
# remotes/honeybot/scripts/stream.py
# remotes/honeybot/scripts/score.py
# remotes/honeybot/scripts/card.py
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/test_forest.py
# remotes/honeybot/scripts/logs.py
# remotes/honeybot/scripts/content_loader.py
# remotes/honeybot/scripts/db.py

# Context 2
context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
/home/mike/repos/trimnoir/index.md
/home/mike/repos/trimnoir/_layouts/default.html
remotes/honeybot/scripts/forest.py
remotes/honeybot/scripts/db.py

# TRIMNOIR
~/repos/trimnoir/_config.yml
~/repos/trimnoir/flake.nix
~/repos/trimnoir/Gemfile
~/repos/trimnoir/_layouts/page.html
~/repos/trimnoir/_layouts/post.html
~/repos/trimnoir/assets/main.css

ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
sed -n '260,365p' scripts/articles/publishizer.py

context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
! sed -n '260,365p' scripts/articles/publishizer.py
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
/home/mike/repos/trimnoir/_layouts/default.html
/home/mike/repos/trimnoir/assets/main.css
remotes/honeybot/scripts/forest.py
remotes/honeybot/scripts/db.py

Target: /home/mike/pipulate/remotes/honeybot/scripts/db.py
[[[SEARCH]]]
        AND NOT (
            ua.value LIKE 'Mozilla%' 
            AND ua.value NOT LIKE '%compatible%' 
            AND (
                ua.value LIKE '%Windows NT%' OR 
                ua.value LIKE '%Macintosh%' OR 
                ua.value LIKE '%X11%' OR      /* Broadened to catch all X11 variants */
                ua.value LIKE '%iPhone%' OR
                ua.value LIKE '%iPad%' OR     /* Added iPad to standard OS checks */
                ua.value LIKE '%Android%'
            )
        )
[[[DIVIDER]]]
        AND NOT (
            ua.value LIKE 'Mozilla%' 
            AND ua.value NOT LIKE '%compatible%' 
            AND ua.value NOT LIKE '%HeadlessChrome%'
            AND (
                ua.value LIKE '%Windows NT%' OR 
                ua.value LIKE '%Macintosh%' OR 
                ua.value LIKE '%X11%' OR      /* Broadened to catch all X11 variants */
                ua.value LIKE '%iPhone%' OR
                ua.value LIKE '%iPad%' OR     /* Added iPad to standard OS checks */
                ua.value LIKE '%Android%'
            )
        )
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/db.py
[[[SEARCH]]]
    _ROLLUP_BOT_TOKENS = (
        "meta-externalagent",
        "GPTBot",
        "meta-webindexer",
        "OAI-SearchBot",
        "Claude-User",
        "ShapBot",
        "KeenableBot",
        "ExaUser",
        "Bytespider",
        "axios",
        "Googlebot/",
    )
[[[DIVIDER]]]
    _ROLLUP_BOT_TOKENS = (
        "meta-externalagent",
        "GPTBot",
        "meta-webindexer",
        "OAI-SearchBot",
        "Claude-User",
        "ShapBot",
        "KeenableBot",
        "ExaUser",
        "HeadlessChrome",
        "Bytespider",
        "axios",
        "Googlebot/",
    )
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
        is_window_report = (
            isinstance(capstone_cue, tuple)
            and len(capstone_cue) >= 2
            and capstone_cue[0] == "WINDOW"
            and any(tag in str(capstone_cue[1]) for tag in (":overview", ":markdown", ":bimodal", ":schism", ":rfc9421", ":doors"))
        )
[[[DIVIDER]]]
        is_window_report = (
            isinstance(capstone_cue, tuple)
            and len(capstone_cue) >= 2
            and capstone_cue[0] == "WINDOW"
            and any(tag in str(capstone_cue[1]) for tag in (":overview", ":markdown", ":bimodal", ":trapdoor", ":schism", ":rfc9421", ":doors"))
        )
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    # Bead 2 (EVEN -> Rich Horizontal-Bar Telemetry Report: Bimodal JS vs Markdown)
    _make_station_bead(
        "BIMODAL\nWIRE TRUTH",
        (
            "Which A I crawlers execute client-side JavaScript, and which negotiate directly for clean Markdown?"
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:bimodal"),
        [
            "This report compares our two primary ingestion sensors in real time.",
            "On top are the bots firing our JavaScript DOM hydration trapdoor, led by Meta External Agent, Open A I's SearchBot, and GPTBot.",
            "On the bottom are the R F C 9110 Markdown negotiators requesting clean text at wire speed without spinning up a headless browser.",
        ],
    ),
[[[DIVIDER]]]
    # Bead 2 (EVEN -> Rich Horizontal-Bar Telemetry Report: JS DOM Hydration Trapdoor 0-1% Horizon + Executor Breakdown)
    _make_station_bead(
        "DOM TRAPDOOR\nJS EXECS",
        (
            "Conventional S E O wisdom claims A I crawlers only scrape static H T M L and never execute client-side JavaScript. "
            "So we wired an eight-hundred-millisecond JavaScript trapdoor into our pages to measure the truth on the wire."
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:bimodal"),
        [
            "Look first at the single amber bar across the very top of this report.",
            "That top bar merely shows the share of all H T T P responses that execute client-side JavaScript and trigger our eight-hundred-millisecond J S confirm dot gif trapdoor, plotted on the same zero to one percent horizon.",
            "Now look at the stacked horizontal bars below the divider, which break that JavaScript execution activity from above out by grouped User-Agent and cloud renderer fleet.",
            "Open A I's SearchBot and G P T Bot, Meta's External Agent, unbadged Google Cloud Chrome renderers, and Headless Chrome are caught red-handed hydrating the D O M thousands of times.",
        ],
    ),
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    if mode == "bimodal":
        title_str = "⚡ DOM HYDRATION TRAPDOOR (Top) vs. 🧠 RFC 9110 MARKDOWN NEGOTIATORS (Bottom)"
        tbl.add_column("Hits", justify="right", style="bold yellow", width=7, no_wrap=True)
        tbl.add_column("Bot Identity", style="bold white", width=24, no_wrap=True)
        tbl.add_column("Raw Signature", ratio=4, no_wrap=True)
        tbl.add_column("Share Bar", width=26, no_wrap=True)
        js_rows = db.get_js_executors(limit=7)
        max_js = max([int(c) for _, c in js_rows] or [1])
        for ua, cnt in js_rows:
            _, ident_txt, sig_txt = _format_bot_identity_and_sig(ua, known_bots=KNOWN_BOTS, max_sig_len=56)
            sensor_ident = Text.assemble(("⚡ ", "bold yellow"), ident_txt)
            tbl.add_row(f"{cnt:,}", sensor_ident, sig_txt, _bar((cnt / max_js) * 100.0, 24, "yellow"))
        tbl.add_section()
        max_md = max([int(c) for _, c in cneg_rows[:7]] or [1])
        for ua, cnt in cneg_rows[:7]:
            badge, ident_txt, sig_txt = _format_bot_identity_and_sig(ua, known_bots=KNOWN_BOTS, max_sig_len=56)
            sensor_ident = Text.assemble(("🧠 ", "bold cyan"), ident_txt)
            color = "red" if badge == "🛑" else ("deep_sky_blue1" if badge == "🔷" else "cyan")
            tbl.add_row(f"{cnt:,}", sensor_ident, sig_txt, _bar((cnt / max_md) * 100.0, 24, color))
[[[DIVIDER]]]
    if mode in ("bimodal", "trapdoor"):
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        js_telem_hits = int((cur.fetchone() or [0])[0] or 0)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0), COUNT(DISTINCT i.id)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN user_agents ua ON t.ua_id = ua.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND (i.value LIKE '34.%' OR i.value LIKE '35.%' OR i.value LIKE '136.65.%')
              AND ua.value LIKE 'Mozilla%'
              AND ua.value NOT LIKE '%compatible%'
            """
        )
        cloud_row = cur.fetchone() or (0, 0)
        cloud_triggers, cloud_ips = int(cloud_row[0] or 0), int(cloud_row[1] or 0)
        js_rows = list(db.get_js_executors(limit=25))
        if cloud_triggers > 0:
            js_rows.append((
                f"[+{max(0, cloud_ips - 1)}] Mozilla/5.0 Chrome/[REDACTED_IP] Edg/[REDACTED_IP] (Stealth Cloud Renderers: 34.*/35.* GCP & 136.65.*)",
                cloud_triggers,
            ))
            js_rows.sort(key=lambda item: int(item[1]), reverse=True)
        total_js_execs = max(1, sum(int(c) for _, c in js_rows))
        js_horizon_hits = js_telem_hits if js_telem_hits > 0 else total_js_execs
        js_pct = round((js_horizon_hits / max(1, total_hits)) * 100.0, 2)
        js_horizon_1pct = min(100.0, round((js_pct / 1.0) * 100.0, 1))

        title_str = "⚡ JAVASCRIPT DOM HYDRATION TRAPDOOR (0% → 1.0% OF ALL HTTP RESPONSES) & EXECUTOR BREAKDOWN"
        tbl.add_column("Execs", justify="right", style="bold yellow", width=8, no_wrap=True)
        tbl.add_column("Horizon / Bot Identity", style="bold white", width=25, no_wrap=True)
        tbl.add_column("Denominator Key / Grouped Executor Signature", ratio=4, no_wrap=True)
        tbl.add_column("Horizontal Bar & Share", width=38, no_wrap=True)
        tbl.add_row(
            f"{js_horizon_hits:,}",
            Text("🎯 0% → 1.0% HORIZON", style="bold bright_yellow"),
            Text(
                f"Share of all {total_hits:,} HTTP responses firing 800ms js_confirm.gif (not % of UAs)",
                style="bold white",
            ),
            f"{_bar(js_horizon_1pct, 22, 'yellow')} [bold bright_yellow]{js_pct}% / 1.0%[/bold bright_yellow]",
        )
        tbl.add_section()
        max_js = max([int(c) for _, c in js_rows[:10]] or [1])
        for ua, cnt in js_rows[:10]:
            if "Stealth Cloud Renderers" in str(ua):
                badge = "🟠"
                ident_txt = Text("🟠 Cloud Chrome/Edge", style="bold orange1")
                sig_txt = Text.assemble(
                    (f"+{max(0, cloud_ips - 1)} IPs ", "bold bright_yellow"),
                    ("Unbadged GCP 34.*/35.* & 136.65.* headless Chrome/Edge fleet", "dim green"),
                )
            else:
                badge, ident_txt, sig_txt = _format_bot_identity_and_sig(ua, known_bots=KNOWN_BOTS, max_sig_len=50)
            sensor_ident = Text.assemble(("⚡ ", "bold yellow"), ident_txt)
            color = "red" if badge == "🛑" else ("deep_sky_blue1" if badge == "🔷" else "yellow")
            share_of_js = round((int(cnt) / max(1, total_js_execs)) * 100.0, 1)
            tbl.add_row(
                f"{int(cnt):,}",
                sensor_ident,
                sig_txt,
                f"{_bar((int(cnt) / max_js) * 100.0, 22, color)} [{color}]{share_of_js:>4.1f}% of JS[/{color}]",
            )
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    else:
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute("SELECT COALESCE(SUM(l.count), 0) FROM daily_logs l JOIN paths p ON l.path_id = p.id WHERE p.value LIKE '%.md%'")
        md_reads = int((cur.fetchone() or [0])[0] or 0)
        md_pct = round((md_reads / max(1, total_hits)) * 100.0, 2)
        md_horizon_1pct = min(100.0, round((md_pct / 1.0) * 100.0, 1))
[[[DIVIDER]]]
    else:
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            WHERE t.served_md = 1
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        md_reads = int((cur.fetchone() or [0])[0] or 0)
        md_pct = round((md_reads / max(1, total_hits)) * 100.0, 2)
        md_horizon_1pct = min(100.0, round((md_pct / 1.0) * 100.0, 1))
[[[REPLACE]]]

Target: /home/mike/repos/trimnoir/_layouts/default.html
[[[SEARCH]]]
  .observatory-kpi-bar {
    margin: 1.15rem 0;
    padding: 0.65rem 0.85rem;
    border: 1px solid rgba(88, 166, 255, 0.28);
    border-radius: 10px;
    background: linear-gradient(135deg, rgba(13, 17, 23, 0.94), rgba(22, 27, 34, 0.88));
    box-shadow: 0 4px 14px rgba(0, 0, 0, 0.28);
    font-size: 0.78rem;
    line-height: 1.25;
  }
  .kpi-header-row {
    display: flex;
    flex-wrap: wrap;
    align-items: center;
    justify-content: space-between;
    gap: 0.5rem;
    margin-bottom: 0.55rem;
    padding-bottom: 0.4rem;
    border-bottom: 1px solid rgba(255, 255, 255, 0.07);
  }
  .kpi-brand {
    display: flex;
     flex-wrap: wrap;
    align-items: center;
    gap: 0.5rem;
  }
  .kpi-pulse {
    width: 8px;
    height: 8px;
    border-radius: 50%;
    background: #10b981;
    box-shadow: 0 0 8px #10b981;
    flex-shrink: 0;
  }
  .kpi-eyebrow {
    font-weight: 700;
    letter-spacing: 0.05em;
    font-size: 0.72rem;
    color: #e6edf3;
  }
  .kpi-sub {
    font-size: 0.68rem;
    opacity: 0.75;
  }
  .kpi-grid {
    display: grid;
    grid-template-columns: 1fr;
    gap: 0.65rem;
  }
  .kpi-card {
    display: flex;
    flex-direction: column;
    gap: 0.25rem;
    padding: 0.55rem 0.75rem;
    border-radius: 8px;
    background: rgba(255, 255, 255, 0.03);
    border: 1px solid rgba(255, 255, 255, 0.07);
  }
  .kpi-top {
    display: flex;
    align-items: center;
    justify-content: space-between;
    flex-wrap: wrap;
    gap: 0.35rem;
  }
  .kpi-scale-tag {
    font-size: 0.66rem;
    opacity: 0.82;
    font-family: monospace;
  }
  .kpi-meter {
    width: 100%;
    height: auto;
    max-height: 36px;
    display: block;
    overflow: visible;
  }
  .kpi-tick {
    fill: rgba(230, 237, 243, 0.68);
    font-size: 6.5px;
    font-family: monospace;
  }
  .kpi-val {
    font-weight: 700;
    font-size: 0.8rem;
    color: #f0f6fc;
    display: flex;
    flex-wrap: wrap;
    align-items: center;
    gap: 0.3rem;
  }
  .kpi-lbl {
    font-size: 0.66rem;
    opacity: 0.8;
  }
[[[DIVIDER]]]
  .observatory-kpi-bar {
    margin: 1.25rem 0;
    padding: 0.85rem 1rem;
    border: 1px solid rgba(88, 166, 255, 0.35);
    border-radius: 10px;
    background: linear-gradient(135deg, #0d1117 0%, #161b22 100%);
    color: #e6edf3;
    box-shadow: 0 4px 16px rgba(0, 0, 0, 0.32);
    font-size: 0.8rem;
    line-height: 1.4;
  }
  .observatory-kpi-bar code {
    font-size: 0.88em;
    padding: 0.08rem 0.34rem;
    border-radius: 4px;
    background: rgba(110, 118, 129, 0.25);
    color: #79c0ff;
    border: 1px solid rgba(88, 166, 255, 0.32);
  }
  .kpi-header-row {
    display: flex;
    flex-wrap: wrap;
    align-items: center;
    justify-content: space-between;
    gap: 0.5rem;
    margin-bottom: 0.7rem;
    padding-bottom: 0.5rem;
    border-bottom: 1px solid rgba(255, 255, 255, 0.1);
  }
  .kpi-brand {
    display: flex;
    flex-wrap: wrap;
    align-items: center;
    gap: 0.5rem;
  }
  .kpi-pulse {
    width: 8px;
    height: 8px;
    border-radius: 50%;
    background: #10b981;
    box-shadow: 0 0 8px #10b981;
    flex-shrink: 0;
  }
  .kpi-eyebrow {
    font-weight: 700;
    letter-spacing: 0.05em;
    font-size: 0.74rem;
    color: #ffffff;
  }
  .kpi-sub {
    font-size: 0.72rem;
    color: #c9d1d9;
  }
  .kpi-grid {
    display: grid;
    grid-template-columns: 1fr;
    gap: 0.8rem;
  }
  .kpi-card {
    display: flex;
    flex-direction: column;
    gap: 0.4rem;
    padding: 0.7rem 0.85rem;
    border-radius: 8px;
    background: rgba(255, 255, 255, 0.035);
    border: 1px solid rgba(255, 255, 255, 0.09);
  }
  .kpi-top {
    display: flex;
    align-items: center;
    justify-content: space-between;
    flex-wrap: wrap;
    gap: 0.4rem;
  }
  .kpi-scale-tag {
    font-size: 0.7rem;
    color: #c9d1d9;
    font-family: monospace;
  }
  .kpi-meter {
    width: 100%;
    height: auto;
    max-height: 38px;
    margin: 0.12rem 0 0.18rem 0;
    display: block;
    overflow: visible;
  }
  .kpi-tick {
    fill: #c9d1d9;
    font-size: 6.5px;
    font-family: monospace;
  }
  .kpi-val {
    font-weight: 700;
    font-size: 0.84rem;
    color: #ffffff;
    display: flex;
    flex-wrap: wrap;
    align-items: center;
    gap: 0.35rem;
  }
  .kpi-lbl {
    font-size: 0.74rem;
    line-height: 1.48;
    color: #c9d1d9;
    margin-top: 0.1rem;
  }
  .kpi-lbl strong {
    color: #ffffff;
  }
[[[REPLACE]]]
Target: /home/mike/repos/trimnoir/assets/main.css
[[[SEARCH]]]
[data-theme="dark"] {
  --bg-color: #111111;
  --text-color: #e0e0e0;
  --link-color: #58a6ff;
  --card-bg: #161b22;
  --border-color: #30363d;
}
[[[DIVIDER]]]
[data-theme="dark"] {
  --bg-color: #111111;
  --text-color: #e0e0e0;
  --link-color: #58a6ff;
  --card-bg: #161b22;
  --border-color: #30363d;
  --code-bg: #161b22;
  --code-text: #e6edf3;
  --code-border: #30363d;
}
[[[REPLACE]]]

Target: /home/mike/repos/trimnoir/index.md
[[[SEARCH]]]
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">5,214 JS Trapdoor Executions <span class="kpi-badge-amber">0.33% of All HTTP Responses</span> <span class="kpi-badge-amber">40 Top Non-Local IPs</span></span>
        <span class="kpi-scale-tag">0% → 1.0% Horizon (DOM Hydration)</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 1.0 percent scale of all origin HTTP responses">
        <title>JavaScript DOM Hydration Trapdoor: 5,214 executions of the 800ms setTimeout /api/telemetry/js_confirm.gif sensor</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="131.6" height="6" rx="3" fill="#f59e0b"></rect>
        <circle cx="131.6" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="92" y="20" class="kpi-tick">0.25%</text>
        <text x="192" y="20" class="kpi-tick">0.50%</text>
        <text x="292" y="20" class="kpi-tick">0.75%</text>
        <text x="380" y="20" class="kpi-tick">1.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Requests firing our 800ms client-side <code>js_confirm.gif</code> sensor — proving headless browser execution by OAI-SearchBot, GPTBot, and cloud renderers.</div>
    </div>
[[[DIVIDER]]]
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">0.33% of All HTTP Responses <span class="kpi-badge-amber">5,214 Top-40 IP JS Triggers</span> <span class="kpi-badge-amber">31 OAI-SearchBot IPs</span></span>
        <span class="kpi-scale-tag">0% → 1.0% Horizon (33% of Reference)</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 1.0 percent scale of all origin HTTP responses">
        <title>JavaScript DOM Hydration Trapdoor: 0.33% of all ~1.58M origin HTTP responses firing the 800ms setTimeout /api/telemetry/js_confirm.gif sensor</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="131.6" height="6" rx="3" fill="#f59e0b"></rect>
        <circle cx="131.6" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="92" y="20" class="kpi-tick">0.25%</text>
        <text x="192" y="20" class="kpi-tick">0.50%</text>
        <text x="292" y="20" class="kpi-tick">0.75%</text>
        <text x="380" y="20" class="kpi-tick">1.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all ~1.58M origin HTTP responses firing our 800ms client-side <code>js_confirm.gif</code> sensor (never % of User-Agents) — led by OpenAI’s OAI-SearchBot fleet (1,796 across 31 IPs), GPTBot (425), and stealth cloud Chrome/Edge renderers (2,993).</div>
    </div>
[[[REPLACE]]]

./nixops.sh

Verify the AFTER receipts for both Honeybot station-break reports (overview for RFC 9110 Markdown and bimodal for the JS DOM Hydration Trapdoor) and inspect scripts/articles/publishizer.py so future publish runs emit the exact 2-bar 0% -> 1.0% Horizon layout into index.md without clobbering it.

git -C ~/repos/trimnoir add index.md _layouts/default.html assets/main.css && git -C ~/repos/trimnoir commit -m "Fix KPI bar light/dark contrast, code pill sizing, and JS trapdoor 0-1% bar" && git -C ~/repos/trimnoir push

# Option A1: Pop Report 1 (RFC 9110 Markdown 0-1% + UA Breakdown) onto the live stream for 35s
ssh honeybot 'DISPLAY=:10.0 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import stream; stream.conjure_window(\"forest.py\", duration=35.0, args=[\"overview\"])"'

# Option A2: Pop Report 2 (JS DOM Hydration Trapdoor 0-1% + Executor Breakdown) onto the live stream for 35s
ssh honeybot 'DISPLAY=:10.0 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import stream; stream.conjure_window(\"forest.py\", duration=35.0, args=[\"bimodal\"])"'

# Option B1: Full Narrated Break-In for Report 1 (flashes CARD, pops overview report, and speaks the eye-guiding narration)
ssh honeybot 'python3 -c "import sys, json; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; msg = {\"card\": \"RFC 9110\\nMARKDOWN\", \"window\": \"forest.py:65:overview\", \"say\": \" \".join(c[1] for c in forest.STATION_SEGMENTS[0] if c[0] == \"SAY\" and (\"Look first\" in c[1] or \"That top bar\" in c[1] or \"Now look\" in c[1] or \"Exa Search\" in c[1])), \"duration\": 65, \"linger\": 12}; open(\"/home/mike/www/mikelev.in/.live_message\", \"w\").write(json.dumps(msg))"'

# Option B2: Full Narrated Break-In for Report 2 (flashes CARD, pops bimodal JS Trapdoor report, and speaks the eye-guiding narration)
ssh honeybot 'python3 -c "import sys, json; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; msg = {\"card\": \"DOM TRAPDOOR\\nJS EXECS\", \"window\": \"forest.py:65:bimodal\", \"say\": \" \".join(c[1] for c in forest.STATION_SEGMENTS[2] if c[0] == \"SAY\" and (\"Look first\" in c[1] or \"That top bar\" in c[1] or \"Now look\" in c[1] or \"Open A I\" in c[1])), \"duration\": 65, \"linger\": 12}; open(\"/home/mike/www/mikelev.in/.live_message\", \"w\").write(json.dumps(msg))"'

# # Context 1
# 
# # THE DATA EVERYONE NEEDS
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/index.md
# ~/repos/trimnoir/_layouts/default.html
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css
# 
# # HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
# nixops.sh
# remotes/honeybot/hooks/post-receive
# remotes/honeybot/nixos/configuration.nix
# remotes/honeybot/scripts/stream.py
# remotes/honeybot/scripts/score.py
# remotes/honeybot/scripts/card.py
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/test_forest.py
# remotes/honeybot/scripts/logs.py
# remotes/honeybot/scripts/content_loader.py
# remotes/honeybot/scripts/db.py

# # Context 2
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css

# Content 3
context.txt

# THE SOFTWARE VON NEUMANN PROBE
assets/installer/install.sh
flake.nix
# release.py
~/repos/nixos/blogs.nix
remotes/honeybot/www/qamy.ai/index.html
remotes/honeybot/www/qamy.ai/walk/1/index.html
remotes/honeybot/www/qamy.ai/walk/2/index.html
remotes/honeybot/www/qamy.ai/walk/3/index.html

remotes/honeybot/queries/trapdoor_ips.sql
! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
! sed -n '260,365p' scripts/articles/publishizer.py
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
/home/mike/repos/trimnoir/_layouts/default.html
/home/mike/repos/trimnoir/assets/main.css
remotes/honeybot/scripts/forest.py
remotes/honeybot/scripts/db.py

cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'

context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
remotes/honeybot/scripts/forest.py

Target: /home/mike/pipulate/remotes/honeybot/queries/trapdoor_ips.sql
[[[SEARCH]]]
SELECT 
    i.value as ip_address, 
    ua.value as agent, 
    SUM(t.count) as triggers
FROM telemetry t
JOIN ips i ON t.ip_id = i.id
JOIN user_agents ua ON t.ua_id = ua.id
JOIN paths p ON t.path_id = p.id
WHERE p.value LIKE '%js_confirm.gif%'
  -- Self-exclusion belongs BEFORE the LIMIT, not after it. Filtering local
  -- IPs downstream (in awk) discards rows the LIMIT already admitted, so the
  -- sample silently shrinks and rows 16+ never enter -- an undercount whose
  -- size grows with the operator's own browsing.
  AND i.value NOT LIKE '127.%'
  AND i.value NOT LIKE '10.%'
  AND i.value NOT LIKE '192.168.%'
GROUP BY i.id, ua.id
ORDER BY triggers DESC
LIMIT 40;
[[[DIVIDER]]]
SELECT 
    COUNT(DISTINCT i.id) as distinct_ips,
    CASE
        WHEN ua.value LIKE '%meta-externalagent%'
        THEN 'meta-externalagent/1.1 (+https://developers.facebook.com/docs/sharing/webmasters/crawler)'
        WHEN ua.value LIKE '%OAI-SearchBot%'
        THEN 'OAI-SearchBot/1.4 (+https://openai.com/searchbot)'
        WHEN (i.value LIKE '34.%' OR i.value LIKE '35.%' OR i.value LIKE '136.65.%')
         AND ua.value LIKE 'Mozilla%'
         AND ua.value NOT LIKE '%compatible%'
        THEN '[CLOUD-RENDERER] Mozilla/5.0 Chrome/Edge (GCP 34.*/35.* & 136.65.* Stealth Fleet)'
        WHEN ua.value LIKE '%GPTBot%'
        THEN 'GPTBot/1.3 (+https://openai.com/gptbot)'
        WHEN ua.value LIKE '%meta-webindexer%'
        THEN 'meta-webindexer/1.1 (+https://developers.facebook.com/docs/sharing/webmasters/crawler)'
        WHEN ua.value LIKE '%Bytespider%'
        THEN 'Bytespider (+https://zhanzhang.toutiao.com/)'
        WHEN ua.value LIKE '%HeadlessChrome%'
        THEN 'HeadlessChrome/* (X11; Linux x86_64)'
        WHEN ua.value LIKE '%TikTokSpider%'
        THEN 'TikTokSpider (+https://bytespider.tiktok.com/)'
        WHEN ua.value LIKE '%ShapBot%'
        THEN 'ShapBot/0.1.0 (+https://parallel.ai)'
        WHEN ua.value LIKE '%Googlebot%'
         AND i.value NOT LIKE '66.249.%'
         AND i.value NOT LIKE '64.233.%'
         AND i.value NOT LIKE '72.14.%'
         AND i.value NOT LIKE '74.125.%'
         AND i.value NOT LIKE '108.177.%'
         AND i.value NOT LIKE '142.250.%'
         AND i.value NOT LIKE '142.251.%'
         AND i.value NOT LIKE '172.217.%'
         AND i.value NOT LIKE '173.194.%'
         AND i.value NOT LIKE '192.178.%'
         AND i.value NOT LIKE '207.126.%'
         AND i.value NOT LIKE '209.85.%'
         AND i.value NOT LIKE '216.58.%'
         AND i.value NOT LIKE '216.239.%'
        THEN '[SPOOFED-IP] Googlebot/2.1 (+http://www.google.com/bot.html)'
        ELSE ua.value
    END as agent, 
    SUM(t.count) as triggers
FROM telemetry t
JOIN ips i ON t.ip_id = i.id
JOIN user_agents ua ON t.ua_id = ua.id
JOIN paths p ON t.path_id = p.id
WHERE p.value LIKE '%js_confirm.gif%'
  -- Self-exclusion belongs BEFORE the LIMIT, not after it.
  AND i.value NOT LIKE '127.%'
  AND i.value NOT LIKE '10.%'
  AND i.value NOT LIKE '192.168.%'
  AND ua.value NOT LIKE '%Ubuntu%'
  AND ua.value NOT LIKE '%iPad%'
GROUP BY agent
ORDER BY triggers DESC
LIMIT 25;
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    # Bead 2 (EVEN -> Rich Horizontal-Bar Telemetry Report: JS DOM Hydration Trapdoor 0-1% Horizon + Executor Breakdown)
    _make_station_bead(
        "DOM TRAPDOOR\nJS EXECS",
        (
            "Conventional S E O wisdom claims A I crawlers only scrape static H T M L and never execute client-side JavaScript. "
            "So we wired an eight-hundred-millisecond JavaScript trapdoor into our pages to measure the truth on the wire."
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:bimodal"),
        [
            "Look first at the single amber bar across the very top of this report.",
            "That top bar merely shows the share of all H T T P responses that execute client-side JavaScript and trigger our eight-hundred-millisecond J S confirm dot gif trapdoor, plotted on the same zero to one percent horizon.",
            "Now look at the stacked horizontal bars below the divider, which break that JavaScript execution activity from above out by grouped User-Agent and cloud renderer fleet.",
            "Open A I's SearchBot and G P T Bot, Meta's External Agent, unbadged Google Cloud Chrome renderers, and Headless Chrome are caught red-handed hydrating the D O M thousands of times.",
        ],
    ),
[[[DIVIDER]]]
    # Bead 2 (EVEN -> Rich Horizontal-Bar Telemetry Report: JS DOM Hydration Trapdoor 0-5% Eligible HTML Horizon + Executor Breakdown)
    _make_station_bead(
        "DOM TRAPDOOR\nJS EXECS",
        (
            "Conventional S E O wisdom claims A I crawlers only scrape static H T M L and never execute client-side JavaScript. "
            "So we wired an eight-hundred-millisecond JavaScript trapdoor into our H T M L pages to measure the truth on the wire."
        ),
        ("WINDOW", f"forest.py:{REPORT_WINDOW_CAP_SECONDS}:bimodal"),
        [
            "Look first at the single amber bar across the very top of this report.",
            "That top bar merely shows the percentage of eligible H T M L page responses -- the requests that actually received our script tag and could have hydrated the D O M -- that executed client-side JavaScript and fired our eight-hundred-millisecond J S confirm dot gif sensor, plotted on a zero to five percent scale.",
            "Now look at the stacked horizontal bars below the divider, which break those eighteen thousand plus JavaScript executions from above out by grouped User-Agent and cloud renderer fleet.",
            "Meta's External Agent leads at four thousand six hundred D O M hydrations, followed by Open A I's SearchBot at three thousand four hundred seventy-five, unbadged Google Cloud Chrome and Edge renderers across over one hundred I P addresses, Open A I's G P T Bot, Meta Web Indexer, Bytespider, and Headless Chrome.",
        ],
    ),
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
_KEYWORD_BOT_RE = _re.compile(
    r"\b([A-Za-z0-9._-]*(?:bot|spider|crawler|agent|radar|worker|mcp|research|scraper|fetcher|inspector|archiver|httpx|requests|axios|curl|wget|aiohttp|urllib|go-http-client|python)[A-Za-z0-9._-]*)",
    _re.IGNORECASE,
)
[[[DIVIDER]]]
_KEYWORD_BOT_RE = _re.compile(
    r"\b([A-Za-z0-9._-]*(?:headlesschrome|bot|spider|crawler|agent|radar|worker|mcp|research|scraper|fetcher|inspector|archiver|httpx|requests|axios|curl|wget|aiohttp|urllib|go-http-client|python)[A-Za-z0-9._-]*)",
    _re.IGNORECASE,
)
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    if mode in ("bimodal", "trapdoor"):
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        js_telem_hits = int((cur.fetchone() or [0])[0] or 0)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0), COUNT(DISTINCT i.id)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN user_agents ua ON t.ua_id = ua.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND (i.value LIKE '34.%' OR i.value LIKE '35.%' OR i.value LIKE '136.65.%')
              AND ua.value LIKE 'Mozilla%'
              AND ua.value NOT LIKE '%compatible%'
            """
        )
        cloud_row = cur.fetchone() or (0, 0)
        cloud_triggers, cloud_ips = int(cloud_row[0] or 0), int(cloud_row[1] or 0)
        js_rows = list(db.get_js_executors(limit=25))
        if cloud_triggers > 0:
            js_rows.append((
                f"[+{max(0, cloud_ips - 1)}] Mozilla/5.0 Chrome/[REDACTED_IP] Edg/[REDACTED_IP] (Stealth Cloud Renderers: 34.*/35.* GCP & 136.65.*)",
                cloud_triggers,
            ))
            js_rows.sort(key=lambda item: int(item[1]), reverse=True)
        total_js_execs = max(1, sum(int(c) for _, c in js_rows))
        js_horizon_hits = js_telem_hits if js_telem_hits > 0 else total_js_execs
        js_pct = round((js_horizon_hits / max(1, total_hits)) * 100.0, 2)
        js_horizon_1pct = min(100.0, round((js_pct / 1.0) * 100.0, 1))

        title_str = "⚡ JAVASCRIPT DOM HYDRATION TRAPDOOR (0% → 1.0% OF ALL HTTP RESPONSES) & EXECUTOR BREAKDOWN"
        tbl.add_column("Execs", justify="right", style="bold yellow", width=8, no_wrap=True)
        tbl.add_column("Horizon / Bot Identity", style="bold white", width=25, no_wrap=True)
        tbl.add_column("Denominator Key / Grouped Executor Signature", ratio=4, no_wrap=True)
        tbl.add_column("Horizontal Bar & Share", width=38, no_wrap=True)
        tbl.add_row(
            f"{js_horizon_hits:,}",
            Text("🎯 0% → 1.0% HORIZON", style="bold bright_yellow"),
            Text(
                f"Share of all {total_hits:,} HTTP responses firing 800ms js_confirm.gif (not % of UAs)",
                style="bold white",
            ),
            f"{_bar(js_horizon_1pct, 22, 'yellow')} [bold bright_yellow]{js_pct}% / 1.0%[/bold bright_yellow]",
        )
[[[DIVIDER]]]
    if mode in ("bimodal", "trapdoor"):
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN paths p ON t.path_id = p.id
            WHERE t.served_md = 0
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
              AND p.value NOT LIKE '%js_confirm.gif%'
              AND p.value NOT LIKE '/assets/%'
              AND p.value NOT LIKE '%.md%'
              AND p.value NOT LIKE '%.xml%'
              AND p.value NOT LIKE '%.txt%'
              AND p.value NOT LIKE '%.json%'
              AND p.value NOT LIKE '%.css%'
              AND p.value NOT LIKE '%.js%'
              AND p.value NOT LIKE '%.ico%'
              AND p.value NOT LIKE '%.png%'
              AND p.value NOT LIKE '%.jpg%'
              AND p.value NOT LIKE '%.jpeg%'
              AND p.value NOT LIKE '%.gif%'
              AND p.value NOT LIKE '%.svg%'
              AND p.value NOT LIKE '%.webp%'
              AND p.value NOT LIKE '%.woff%'
              AND p.value NOT LIKE '%.ttf%'
              AND p.value NOT LIKE '%.zip%'
              AND p.value NOT LIKE '%.sh%'
            """
        )
        eligible_html_hits = int((cur.fetchone() or [1])[0] or 1)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        js_telem_hits = int((cur.fetchone() or [0])[0] or 0)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0), COUNT(DISTINCT i.id)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN user_agents ua ON t.ua_id = ua.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND (i.value LIKE '34.%' OR i.value LIKE '35.%' OR i.value LIKE '136.65.%')
              AND ua.value LIKE 'Mozilla%'
              AND ua.value NOT LIKE '%compatible%'
            """
        )
        cloud_row = cur.fetchone() or (0, 0)
        cloud_triggers, cloud_ips = int(cloud_row[0] or 0), int(cloud_row[1] or 0)
        js_rows = list(db.get_js_executors(limit=25))
        if cloud_triggers > 0:
            js_rows.append((
                f"[+{max(0, cloud_ips - 1)}] Mozilla/5.0 Chrome/[REDACTED_IP] Edg/[REDACTED_IP] (Stealth Cloud Renderers: 34.*/35.* GCP & 136.65.*)",
                cloud_triggers,
            ))
            js_rows.sort(key=lambda item: int(item[1]), reverse=True)
        total_js_execs = max(1, sum(int(c) for _, c in js_rows))
        js_horizon_hits = js_telem_hits if js_telem_hits > 0 else total_js_execs
        js_pct = round((js_horizon_hits / max(1, eligible_html_hits)) * 100.0, 2)
        js_horizon_5pct = min(100.0, round((js_pct / 5.0) * 100.0, 1))

        title_str = "⚡ JAVASCRIPT DOM HYDRATION TRAPDOOR (0% → 5.0% OF ELIGIBLE HTML RESPONSES) & EXECUTOR BREAKDOWN"
        tbl.add_column("Execs", justify="right", style="bold yellow", width=8, no_wrap=True)
        tbl.add_column("Horizon / Bot Identity", style="bold white", width=25, no_wrap=True)
        tbl.add_column("Denominator Key / Grouped Executor Signature", ratio=4, no_wrap=True)
        tbl.add_column("Horizontal Bar & Share", width=38, no_wrap=True)
        tbl.add_row(
            f"{js_horizon_hits:,}",
            Text("🎯 0% → 5.0% HTML HORIZON", style="bold bright_yellow"),
            Text(
                f"Share of {eligible_html_hits:,} HTML responses that could hydrate DOM (fired 800ms js_confirm.gif)",
                style="bold white",
            ),
            f"{_bar(js_horizon_5pct, 22, 'yellow')} [bold bright_yellow]{js_pct}% / 5.0%[/bold bright_yellow]",
        )
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
    else:
        cur.execute("SELECT COALESCE(SUM(count), 0) FROM daily_logs")
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            WHERE t.served_md = 1
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
[[[DIVIDER]]]
    else:
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            WHERE i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        total_hits = int((cur.fetchone() or [1])[0] or 1)

        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            WHERE t.served_md = 1
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
[[[REPLACE]]]

Target: /home/mike/pipulate/scripts/articles/publishizer.py
[[[SEARCH]]]
    # 1. RFC 9110 Adoption Horizon (0% -> 20% linear target scale; 200px SVG track)
    md_horizon_pct = min(100.0, max(0.0, round((md_pct_val / 20.0) * 100.0, 2)))
    md_horizon_x = round((md_horizon_pct / 100.0) * 200.0, 1)
    # 2. Bimodal AI Sensor Split (JS Trapdoor Triggers vs. RFC 9110 Markdown Reads)
    total_ai_signals = max(1, hyd_trig_val + md_count_val)
    js_share_pct = round((hyd_trig_val / total_ai_signals) * 100.0, 1)
    md_share_pct = round(100.0 - js_share_pct, 1)
    js_bar_w = round((js_share_pct / 100.0) * 200.0, 1)
    md_bar_w = round(200.0 - js_bar_w, 1)
    # 3. Markdown Bot Identity Forensics (IP-Spoofed Googlebot vs. Authentic Self-Asserted Bots)
    spoof_share_pct = round((spoof_val / max(1, bot_md_val)) * 100.0, 1)
    auth_share_pct = round(100.0 - spoof_share_pct, 1)
    spoof_bar_w = round((spoof_share_pct / 100.0) * 200.0, 1)
    auth_bar_w = round(200.0 - spoof_bar_w, 1)
    # 4. RFC 9421 Web Bot Auth Signed Clients & Events (from access.log + honeybot.db)
    sig_clients_val, sig_events_val = 3, 11
    try:
        sig_cmd = (
            "grep 'Sig:\"' /var/log/nginx/access.log | grep -v 'Sig:\"-\"' | "
            "awk -F'Sig:\"' '{print $2}' | awk -F'\"' '{c[$1]++; n++} END{print length(c) \"|\" (n+0)}'"
        )
        sig_res = subprocess.run(
            ["ssh", "-o", "BatchMode=yes", "-o", "ConnectTimeout=5", "honeybot", sig_cmd],
            capture_output=True,
            text=True,
            timeout=8,
        )
        if sig_res.returncode == 0 and "|" in (sig_res.stdout or ""):
            sc_s, se_s = (p.strip() for p in sig_res.stdout.strip().split("|", 1))
            if sc_s.isdigit() and int(sc_s) > 0:
                sig_clients_val = int(sc_s)
            if se_s.isdigit() and int(se_s) > 0:
                sig_events_val = int(se_s)
    except Exception:
        pass
    sig_clients_fmt = f"{sig_clients_val:,}"
    sig_events_fmt = f"{sig_events_val:,}"
    sig_horizon_x = min(200.0, max(6.0, round((sig_clients_val / 10.0) * 200.0, 1)))
    fetched_at = str((stats or {}).get("fetched_at") or "unknown")
    yt_video_id = ""
    if hasattr(common, "sync_live_video_id"):
        yt_video_id = common.sync_live_video_id(push_remote=False)
    if not yt_video_id:
        yt_state = common._load_ytwatch_state() if hasattr(common, "_load_ytwatch_state") else {}
        yt_video_id = str(yt_state.get("video_id") or "9AE1VmGTlYU").strip()
    payload = {
        "markdown_reads": md_count_fmt,
        "markdown_pct": f"{md_pct_s}%",
        "md_horizon_pct": md_horizon_pct,
        "js_trapdoor_triggers": hyd_trig_fmt,
        "js_trapdoor_ips": hyd_ips_fmt,
        "js_share_pct": f"{js_share_pct}%",
        "md_share_pct": f"{md_share_pct}%",
        "spoofed_googlebot_reads": spoof_fmt,
        "authentic_bot_md_reads": auth_bot_fmt,
        "spoof_share_pct": f"{spoof_share_pct}%",
        "rfc9421_signed_clients": sig_clients_fmt,
        "rfc9421_signed_events": sig_events_fmt,
        "yt_live_video_id": yt_video_id,
        "fetched_at": fetched_at,
    }
    data_dir = repo_root / "_data"
    data_dir.mkdir(parents=True, exist_ok=True)
    obs_file = data_dir / "observatory.json"
    new_json = json.dumps(payload, indent=2) + "\n"
    old_json = obs_file.read_text(encoding="utf-8") if obs_file.exists() else ""
    if new_json != old_json:
        obs_file.write_text(new_json, encoding="utf-8")
    index_file = repo_root / "index.md"
    if index_file.exists():
        idx_text = index_file.read_text(encoding="utf-8")
        banner = (
            "<!-- START_OBSERVATORY_METRICS -->\n"
            '<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">\n'
            '  <div class="kpi-header-row">\n'
            '    <div class="kpi-brand">\n'
            '      <span class="kpi-pulse" aria-hidden="true"></span>\n'
            '      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>\n'
            f'      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>{fetched_at}</code></span>\n'
            '    </div>\n'
            '    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>\n'
            '  </div>\n'
            '  <div class="kpi-grid">\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{md_pct_s}% <span class="kpi-badge-cyan">{md_count_fmt} .md reads</span></span>\n'
            '        <span class="kpi-scale-tag">0% → 20% Horizon</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 20 percent horizon scale">\n'
            f'        <title>RFC 9110 Markdown Share: {md_pct_s}% of all origin responses ({md_horizon_pct}% of the 20% adoption horizon)</title>\n'
            '        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="50" y1="2" x2="50" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="150" y1="2" x2="150" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(2.5, md_horizon_x)}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <circle cx="{max(3.5, md_horizon_x)}" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="46" y="20" class="kpi-tick">5%</text>\n'
            '        <text x="93" y="20" class="kpi-tick">10%</text>\n'
            '        <text x="143" y="20" class="kpi-tick">15%</text>\n'
            '        <text x="180" y="20" class="kpi-tick">20%</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">RFC 9110 <code>Accept: text/markdown</code> Adoption</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{hyd_trig_fmt} <span class="kpi-badge-amber">{js_share_pct}% JS</span> vs. {md_count_fmt} <span class="kpi-badge-cyan">{md_share_pct}% .md</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Bimodal split between JS trapdoor executions and RFC 9110 Markdown reads">\n'
            f'        <title>Bimodal AI Sensor Split: {hyd_trig_fmt} JS executions ({js_share_pct}%) vs. {md_count_fmt} Markdown reads ({md_share_pct}%)</title>\n'
            f'        <rect x="0" y="4" width="{js_bar_w}" height="6" rx="3" fill="#f59e0b"></rect>\n'
            f'        <rect x="{js_bar_w}" y="4" width="{md_bar_w}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <text x="0" y="20" class="kpi-tick">⚡ JS Trapdoor ({hyd_ips_fmt} IPs · OAI-SearchBot)</text>\n'
            '        <text x="148" y="20" class="kpi-tick">🧠 RFC 9110</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">Bimodal AI Sensor Split (DOM Hydration vs. Raw Markdown)</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{sig_events_fmt} <span class="kpi-badge-cyan">🔷 Signed Hits</span> · {sig_clients_fmt} <span class="kpi-badge-cyan">Clients</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9421 Web Bot Auth cryptographic agent adoption">\n'
            f'        <title>RFC 9421 Web Bot Auth: {sig_events_fmt} cryptographically signed requests across {sig_clients_fmt} verified bot operators (ExaSearchBot, AhrefsBot, DesearchBot)</title>\n'
            '        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            f'        <rect x="0" y="4" width="{sig_horizon_x}" height="6" rx="3" fill="#38bdf8"></rect>\n'
            f'        <circle cx="{sig_horizon_x}" cy="7" r="3.8" fill="#38bdf8" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">🔷 ExaSearchBot · AhrefsBot · DesearchBot</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">RFC 9421 <code>Web Bot Auth</code> (<code>Signature-Agent</code>)</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{spoof_fmt} <span class="kpi-badge-red">🛑 {spoof_share_pct}% Cloaked</span> vs. {auth_bot_fmt} <span class="kpi-badge-amber">🟠 {auth_share_pct}% Bot UA</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Proportion of spoofed Googlebot IPs versus authentic self-asserted bots negotiating Markdown">\n'
            f'        <title>Markdown Bot Forensics: {spoof_fmt} IP-spoofed Googlebot reads ({spoof_share_pct}%) vs. {auth_bot_fmt} authentic self-asserted bot reads ({auth_share_pct}%)</title>\n'
            f'        <rect x="0" y="4" width="{spoof_bar_w}" height="6" rx="3" fill="#ef4444"></rect>\n'
            f'        <rect x="{spoof_bar_w}" y="4" width="{auth_bar_w}" height="6" rx="3" fill="#f97316"></rect>\n'
            '        <text x="0" y="20" class="kpi-tick">🛑 Spoofed Googlebot IPs</text>\n'
            '        <text x="118" y="20" class="kpi-tick">🟠 Self-Asserted Bots</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">Unmasked Cloakers in RFC 9110 Markdown Stream</div>\n'
            '    </div>\n'
            '  </div>\n'
            '</div>\n'
            "<!-- END_OBSERVATORY_METRICS -->"
        )
[[[DIVIDER]]]
    # Query live SQLite wire totals for the 2-bar homepage KPI console
    eligible_html_val = 1315000
    js_total_val = 18257
    cneg_strict_val = bot_md_val if bot_md_val > 3000 else 3737
    meta_js_val, oai_js_val, cloud_js_val, gpt_js_val = 4600, 3475, 3027, 948
    exa_md_val, shap_md_val, claude_md_val = 1797, 839, 106
    sig_clients_val, sig_events_val = 18, 3787
    try:
        sql_ wire = (
            "sqlite3 ~/www/mikelev.in/honeybot.db \""
            "SELECT "
            "(SELECT COALESCE(SUM(t.count),0) FROM telemetry t JOIN ips i ON t.ip_id=i.id JOIN paths p ON t.path_id=p.id "
            "WHERE t.served_md=0 AND i.value NOT LIKE '127.%' AND i.value NOT LIKE '10.%' AND i.value NOT LIKE '192.168.%' "
            "AND p.value NOT LIKE '%js_confirm.gif%' AND p.value NOT LIKE '/assets/%' AND p.value NOT LIKE '%.md%' "
            "AND p.value NOT LIKE '%.xml%' AND p.value NOT LIKE '%.txt%' AND p.value NOT LIKE '%.json%' "
            "AND p.value NOT LIKE '%.css%' AND p.value NOT LIKE '%.js%' AND p.value NOT LIKE '%.ico%' "
            "AND p.value NOT LIKE '%.png%' AND p.value NOT LIKE '%.jpg%' AND p.value NOT LIKE '%.jpeg%' "
            "AND p.value NOT LIKE '%.gif%' AND p.value NOT LIKE '%.svg%' AND p.value NOT LIKE '%.webp%' "
            "AND p.value NOT LIKE '%.woff%' AND p.value NOT LIKE '%.ttf%' AND p.value NOT LIKE '%.zip%' AND p.value NOT LIKE '%.sh%'), "
            "(SELECT COALESCE(SUM(t.count),0) FROM telemetry t JOIN ips i ON t.ip_id=i.id JOIN paths p ON t.path_id=p.id "
            "WHERE p.value LIKE '%js_confirm.gif%' AND i.value NOT LIKE '127.%' AND i.value NOT LIKE '10.%' AND i.value NOT LIKE '192.168.%'), "
            "(SELECT COUNT(DISTINCT sig_id) || '|' || COALESCE(SUM(count),0) FROM rfc9421_logs);"
            "\""
        )
        wire_res = subprocess.run(
            ["ssh", "-o", "BatchMode=yes", "-o", "ConnectTimeout=5", "honeybot", sql_wire],
            capture_output=True,
            text=True,
            timeout=8,
        )
        if wire_res.returncode == 0 and "|" in (wire_res.stdout or ""):
            parts = [p.strip() for p in wire_res.stdout.strip().split("|")]
            if len(parts) >= 4:
                if parts[0].isdigit() and int(parts[0]) > 0:
                    eligible_html_val = int(parts[0])
                if parts[1].isdigit() and int(parts[1]) > 0:
                    js_total_val = int(parts[1])
                if parts[2].isdigit() and int(parts[2]) > 0:
                    sig_clients_val = int(parts[2])
                if parts[3].isdigit() and int(parts[3]) > 0:
                    sig_events_val = int(parts[3])
    except Exception:
        pass
    # 1. Bar 1: RFC 9110 Markdown Adoption (0% -> 1.0% of all origin HTTP responses; 400px SVG track)
    md_horizon_pct = min(100.0, max(0.0, round((md_pct_val / 1.0) * 100.0, 1)))
    md_horizon_x = round((md_horizon_pct / 100.0) * 400.0, 1)
    cneg_strict_fmt = f"{cneg_strict_val:,}"
    # 2. Bar 2: JS DOM Hydration Trapdoor (0% -> 5.0% of eligible HTML page responses; 400px SVG track)
    js_html_pct = round((js_total_val / max(1, eligible_html_val)) * 100.0, 2)
    js_horizon_pct = min(100.0, max(0.0, round((js_html_pct / 5.0) * 100.0, 1)))
    js_horizon_x = round((js_horizon_pct / 100.0) * 400.0, 1)
    js_total_fmt = f"{js_total_val:,}"
    eligible_html_m = f"~{eligible_html_val / 1_000_000:.2f}M"
    spoof_share_pct = round((spoof_val / max(1, bot_md_val)) * 100.0, 1)
    sig_clients_fmt = f"{sig_clients_val:,}"
    sig_events_fmt = f"{sig_events_val:,}"
    fetched_at = str((stats or {}).get("fetched_at") or "unknown")
    yt_video_id = ""
    if hasattr(common, "sync_live_video_id"):
        yt_video_id = common.sync_live_video_id(push_remote=False)
    if not yt_video_id:
        yt_state = common._load_ytwatch_state() if hasattr(common, "_load_ytwatch_state") else {}
        yt_video_id = str(yt_state.get("video_id") or "9AE1VmGTlYU").strip()
    payload = {
        "markdown_reads": md_count_fmt,
        "markdown_pct": f"{md_pct_s}%",
        "md_horizon_pct": md_horizon_pct,
        "js_trapdoor_triggers": js_total_fmt,
        "js_eligible_html_responses": f"{eligible_html_val:,}",
        "js_html_hydration_pct": f"{js_html_pct}%",
        "js_horizon_pct": js_horizon_pct,
        "js_trapdoor_ips": hyd_ips_fmt,
        "spoofed_googlebot_reads": spoof_fmt,
        "authentic_bot_md_reads": auth_bot_fmt,
        "spoof_share_pct": f"{spoof_share_pct}%",
        "rfc9421_signed_clients": sig_clients_fmt,
        "rfc9421_signed_events": sig_events_fmt,
        "yt_live_video_id": yt_video_id,
        "fetched_at": fetched_at,
    }
    data_dir = repo_root / "_data"
    data_dir.mkdir(parents=True, exist_ok=True)
    obs_file = data_dir / "observatory.json"
    new_json = json.dumps(payload, indent=2) + "\n"
    old_json = obs_file.read_text(encoding="utf-8") if obs_file.exists() else ""
    if new_json != old_json:
        obs_file.write_text(new_json, encoding="utf-8")
    index_file = repo_root / "index.md"
    if index_file.exists():
        idx_text = index_file.read_text(encoding="utf-8")
        banner = (
            "<!-- START_OBSERVATORY_METRICS -->\n"
            '<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">\n'
            '  <div class="kpi-header-row">\n'
            '    <div class="kpi-brand">\n'
            '      <span class="kpi-pulse" aria-hidden="true"></span>\n'
            '      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>\n'
            f'      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>{fetched_at}</code></span>\n'
            '    </div>\n'
            '    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>\n'
            '  </div>\n'
            '  <div class="kpi-grid">\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{md_pct_s}% of All HTTP Responses <span class="kpi-badge-cyan">{md_count_fmt} .md deliveries</span> <span class="kpi-badge-cyan">{cneg_strict_fmt} Accept: text/markdown</span></span>\n'
            f'        <span class="kpi-scale-tag">0% → 1.0% Horizon ({int(round(md_horizon_pct))}% of Goal)</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 1.0 percent scale of all origin HTTP responses">\n'
            f'        <title>RFC 9110 Markdown Share: {md_pct_s}% of all ~1.58M origin HTTP responses ({md_horizon_pct}% of the 1.0% adoption milestone)</title>\n'
            '        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(4.0, md_horizon_x)}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <circle cx="{max(4.0, md_horizon_x)}" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="92" y="20" class="kpi-tick">0.25%</text>\n'
            '        <text x="192" y="20" class="kpi-tick">0.50%</text>\n'
            '        <text x="292" y="20" class="kpi-tick">0.75%</text>\n'
            '        <text x="380" y="20" class="kpi-tick">1.0%</text>\n'
            '      </svg>\n'
            f'      <div class="kpi-lbl"><strong>🧠 RFC 9110 <code>Accept: text/markdown</code> Horizon:</strong> Share of all ~1.58M origin HTTP responses served as Markdown (never % of User-Agents) on our way to a 1.0% adoption milestone — led by ExaSearchBot ({exa_md_val:,}), ShapBot ({shap_md_val:,}), and Claude-User ({claude_md_val:,}).</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{js_html_pct}% of Eligible HTML Responses <span class="kpi-badge-amber">{js_total_fmt} JS Trapdoor Executions</span> <span class="kpi-badge-amber">Out of {eligible_html_m} HTML Pages</span></span>\n'
            f'        <span class="kpi-scale-tag">0% → 5.0% HTML Hydration Scale</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 5.0 percent scale of eligible HTML page responses">\n'
            f'        <title>JavaScript DOM Hydration Rate: {js_html_pct}% ({js_total_fmt} executions) of all {eligible_html_m} HTML page responses that carried the 800ms /api/telemetry/js_confirm.gif script</title>\n'
            '        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(4.0, js_horizon_x)}" height="6" rx="3" fill="#f59e0b"></rect>\n'
            f'        <circle cx="{max(4.0, js_horizon_x)}" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="90" y="20" class="kpi-tick">1.25%</text>\n'
            '        <text x="190" y="20" class="kpi-tick">2.50%</text>\n'
            '        <text x="290" y="20" class="kpi-tick">3.75%</text>\n'
            '        <text x="378" y="20" class="kpi-tick">5.0%</text>\n'
            '      </svg>\n'
            f'      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all {eligible_html_m} HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent ({meta_js_val:,}), OAI-SearchBot ({oai_js_val:,}), Cloud Chrome/Edge ({cloud_js_val:,}), and GPTBot ({gpt_js_val:,}).</div>\n'
            '    </div>\n'
            '  </div>\n'
            '</div>\n'
            "<!-- END_OBSERVATORY_METRICS -->"
        )
[[[REPLACE]]]

Target: /home/mike/pipulate/scripts/articles/publishizer.py
[[[SEARCH]]]
    # 1. RFC 9110 Adoption Horizon (0% -> 20% linear target scale; 200px SVG track)
    md_horizon_pct = min(100.0, max(0.0, round((md_pct_val / 20.0) * 100.0, 2)))
    md_horizon_x = round((md_horizon_pct / 100.0) * 200.0, 1)
    # 2. Bimodal AI Sensor Split (JS Trapdoor Triggers vs. RFC 9110 Markdown Reads)
    total_ai_signals = max(1, hyd_trig_val + md_count_val)
    js_share_pct = round((hyd_trig_val / total_ai_signals) * 100.0, 1)
    md_share_pct = round(100.0 - js_share_pct, 1)
    js_bar_w = round((js_share_pct / 100.0) * 200.0, 1)
    md_bar_w = round(200.0 - js_bar_w, 1)
    # 3. Markdown Bot Identity Forensics (IP-Spoofed Googlebot vs. Authentic Self-Asserted Bots)
    spoof_share_pct = round((spoof_val / max(1, bot_md_val)) * 100.0, 1)
    auth_share_pct = round(100.0 - spoof_share_pct, 1)
    spoof_bar_w = round((spoof_share_pct / 100.0) * 200.0, 1)
    auth_bar_w = round(200.0 - spoof_bar_w, 1)
    # 4. RFC 9421 Web Bot Auth Signed Clients & Events (from access.log + honeybot.db)
    sig_clients_val, sig_events_val = 3, 11
    try:
        sig_cmd = (
            "grep 'Sig:\"' /var/log/nginx/access.log | grep -v 'Sig:\"-\"' | "
            "awk -F'Sig:\"' '{print $2}' | awk -F'\"' '{c[$1]++; n++} END{print length(c) \"|\" (n+0)}'"
        )
        sig_res = subprocess.run(
            ["ssh", "-o", "BatchMode=yes", "-o", "ConnectTimeout=5", "honeybot", sig_cmd],
            capture_output=True,
            text=True,
            timeout=8,
        )
        if sig_res.returncode == 0 and "|" in (sig_res.stdout or ""):
            sc_s, se_s = (p.strip() for p in sig_res.stdout.strip().split("|", 1))
            if sc_s.isdigit() and int(sc_s) > 0:
                sig_clients_val = int(sc_s)
            if se_s.isdigit() and int(se_s) > 0:
                sig_events_val = int(se_s)
    except Exception:
        pass
    sig_clients_fmt = f"{sig_clients_val:,}"
    sig_events_fmt = f"{sig_events_val:,}"
    sig_horizon_x = min(200.0, max(6.0, round((sig_clients_val / 10.0) * 200.0, 1)))
    fetched_at = str((stats or {}).get("fetched_at") or "unknown")
    yt_video_id = ""
    if hasattr(common, "sync_live_video_id"):
        yt_video_id = common.sync_live_video_id(push_remote=False)
    if not yt_video_id:
        yt_state = common._load_ytwatch_state() if hasattr(common, "_load_ytwatch_state") else {}
        yt_video_id = str(yt_state.get("video_id") or "9AE1VmGTlYU").strip()
    payload = {
        "markdown_reads": md_count_fmt,
        "markdown_pct": f"{md_pct_s}%",
        "md_horizon_pct": md_horizon_pct,
        "js_trapdoor_triggers": hyd_trig_fmt,
        "js_trapdoor_ips": hyd_ips_fmt,
        "js_share_pct": f"{js_share_pct}%",
        "md_share_pct": f"{md_share_pct}%",
        "spoofed_googlebot_reads": spoof_fmt,
        "authentic_bot_md_reads": auth_bot_fmt,
        "spoof_share_pct": f"{spoof_share_pct}%",
        "rfc9421_signed_clients": sig_clients_fmt,
        "rfc9421_signed_events": sig_events_fmt,
        "yt_live_video_id": yt_video_id,
        "fetched_at": fetched_at,
    }
    data_dir = repo_root / "_data"
    data_dir.mkdir(parents=True, exist_ok=True)
    obs_file = data_dir / "observatory.json"
    new_json = json.dumps(payload, indent=2) + "\n"
    old_json = obs_file.read_text(encoding="utf-8") if obs_file.exists() else ""
    if new_json != old_json:
        obs_file.write_text(new_json, encoding="utf-8")
    index_file = repo_root / "index.md"
    if index_file.exists():
        idx_text = index_file.read_text(encoding="utf-8")
        banner = (
            "<!-- START_OBSERVATORY_METRICS -->\n"
            '<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">\n'
            '  <div class="kpi-header-row">\n'
            '    <div class="kpi-brand">\n'
            '      <span class="kpi-pulse" aria-hidden="true"></span>\n'
            '      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>\n'
            f'      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>{fetched_at}</code></span>\n'
            '    </div>\n'
            '    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>\n'
            '  </div>\n'
            '  <div class="kpi-grid">\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{md_pct_s}% <span class="kpi-badge-cyan">{md_count_fmt} .md reads</span></span>\n'
            '        <span class="kpi-scale-tag">0% → 20% Horizon</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 20 percent horizon scale">\n'
            f'        <title>RFC 9110 Markdown Share: {md_pct_s}% of all origin responses ({md_horizon_pct}% of the 20% adoption horizon)</title>\n'
            '        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="50" y1="2" x2="50" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="150" y1="2" x2="150" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(2.5, md_horizon_x)}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <circle cx="{max(3.5, md_horizon_x)}" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="46" y="20" class="kpi-tick">5%</text>\n'
            '        <text x="93" y="20" class="kpi-tick">10%</text>\n'
            '        <text x="143" y="20" class="kpi-tick">15%</text>\n'
            '        <text x="180" y="20" class="kpi-tick">20%</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">RFC 9110 <code>Accept: text/markdown</code> Adoption</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{hyd_trig_fmt} <span class="kpi-badge-amber">{js_share_pct}% JS</span> vs. {md_count_fmt} <span class="kpi-badge-cyan">{md_share_pct}% .md</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Bimodal split between JS trapdoor executions and RFC 9110 Markdown reads">\n'
            f'        <title>Bimodal AI Sensor Split: {hyd_trig_fmt} JS executions ({js_share_pct}%) vs. {md_count_fmt} Markdown reads ({md_share_pct}%)</title>\n'
            f'        <rect x="0" y="4" width="{js_bar_w}" height="6" rx="3" fill="#f59e0b"></rect>\n'
            f'        <rect x="{js_bar_w}" y="4" width="{md_bar_w}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <text x="0" y="20" class="kpi-tick">⚡ JS Trapdoor ({hyd_ips_fmt} IPs · OAI-SearchBot)</text>\n'
            '        <text x="148" y="20" class="kpi-tick">🧠 RFC 9110</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">Bimodal AI Sensor Split (DOM Hydration vs. Raw Markdown)</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{sig_events_fmt} <span class="kpi-badge-cyan">🔷 Signed Hits</span> · {sig_clients_fmt} <span class="kpi-badge-cyan">Clients</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="RFC 9421 Web Bot Auth cryptographic agent adoption">\n'
            f'        <title>RFC 9421 Web Bot Auth: {sig_events_fmt} cryptographically signed requests across {sig_clients_fmt} verified bot operators (ExaSearchBot, AhrefsBot, DesearchBot)</title>\n'
            '        <rect x="0" y="4" width="200" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            f'        <rect x="0" y="4" width="{sig_horizon_x}" height="6" rx="3" fill="#38bdf8"></rect>\n'
            f'        <circle cx="{sig_horizon_x}" cy="7" r="3.8" fill="#38bdf8" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">🔷 ExaSearchBot · AhrefsBot · DesearchBot</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">RFC 9421 <code>Web Bot Auth</code> (<code>Signature-Agent</code>)</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{spoof_fmt} <span class="kpi-badge-red">🛑 {spoof_share_pct}% Cloaked</span> vs. {auth_bot_fmt} <span class="kpi-badge-amber">🟠 {auth_share_pct}% Bot UA</span></span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 200 22" role="img" aria-label="Proportion of spoofed Googlebot IPs versus authentic self-asserted bots negotiating Markdown">\n'
            f'        <title>Markdown Bot Forensics: {spoof_fmt} IP-spoofed Googlebot reads ({spoof_share_pct}%) vs. {auth_bot_fmt} authentic self-asserted bot reads ({auth_share_pct}%)</title>\n'
            f'        <rect x="0" y="4" width="{spoof_bar_w}" height="6" rx="3" fill="#ef4444"></rect>\n'
            f'        <rect x="{spoof_bar_w}" y="4" width="{auth_bar_w}" height="6" rx="3" fill="#f97316"></rect>\n'
            '        <text x="0" y="20" class="kpi-tick">🛑 Spoofed Googlebot IPs</text>\n'
            '        <text x="118" y="20" class="kpi-tick">🟠 Self-Asserted Bots</text>\n'
            '      </svg>\n'
            '      <div class="kpi-lbl">Unmasked Cloakers in RFC 9110 Markdown Stream</div>\n'
            '    </div>\n'
            '  </div>\n'
            '</div>\n'
            "<!-- END_OBSERVATORY_METRICS -->"
        )
[[[DIVIDER]]]
    # Query live SQLite wire totals for the 2-bar homepage KPI console
    eligible_html_val = 1315000
    js_total_val = 18257
    cneg_strict_val = bot_md_val if bot_md_val > 3000 else 3737
    meta_js_val, oai_js_val, cloud_js_val, gpt_js_val = 4600, 3475, 3027, 948
    exa_md_val, shap_md_val, claude_md_val = 1797, 839, 106
    sig_clients_val, sig_events_val = 18, 3787
    try:
        sql_wire = (
            "sqlite3 ~/www/mikelev.in/honeybot.db \""
            "SELECT "
            "(SELECT COALESCE(SUM(t.count),0) FROM telemetry t JOIN ips i ON t.ip_id=i.id JOIN paths p ON t.path_id=p.id "
            "WHERE t.served_md=0 AND i.value NOT LIKE '127.%' AND i.value NOT LIKE '10.%' AND i.value NOT LIKE '192.168.%' "
            "AND p.value NOT LIKE '%js_confirm.gif%' AND p.value NOT LIKE '/assets/%' AND p.value NOT LIKE '%.md%' "
            "AND p.value NOT LIKE '%.xml%' AND p.value NOT LIKE '%.txt%' AND p.value NOT LIKE '%.json%' "
            "AND p.value NOT LIKE '%.css%' AND p.value NOT LIKE '%.js%' AND p.value NOT LIKE '%.ico%' "
            "AND p.value NOT LIKE '%.png%' AND p.value NOT LIKE '%.jpg%' AND p.value NOT LIKE '%.jpeg%' "
            "AND p.value NOT LIKE '%.gif%' AND p.value NOT LIKE '%.svg%' AND p.value NOT LIKE '%.webp%' "
            "AND p.value NOT LIKE '%.woff%' AND p.value NOT LIKE '%.ttf%' AND p.value NOT LIKE '%.zip%' AND p.value NOT LIKE '%.sh%'), "
            "(SELECT COALESCE(SUM(t.count),0) FROM telemetry t JOIN ips i ON t.ip_id=i.id JOIN paths p ON t.path_id=p.id "
            "WHERE p.value LIKE '%js_confirm.gif%' AND i.value NOT LIKE '127.%' AND i.value NOT LIKE '10.%' AND i.value NOT LIKE '192.168.%'), "
            "(SELECT COUNT(DISTINCT sig_id) || '|' || COALESCE(SUM(count),0) FROM rfc9421_logs);"
            "\""
        )
        wire_res = subprocess.run(
            ["ssh", "-o", "BatchMode=yes", "-o", "ConnectTimeout=5", "honeybot", sql_wire],
            capture_output=True,
            text=True,
            timeout=8,
        )
        if wire_res.returncode == 0 and "|" in (wire_res.stdout or ""):
            parts = [p.strip() for p in wire_res.stdout.strip().split("|")]
            if len(parts) >= 4:
                if parts[0].isdigit() and int(parts[0]) > 0:
                    eligible_html_val = int(parts[0])
                if parts[1].isdigit() and int(parts[1]) > 0:
                    js_total_val = int(parts[1])
                if parts[2].isdigit() and int(parts[2]) > 0:
                    sig_clients_val = int(parts[2])
                if parts[3].isdigit() and int(parts[3]) > 0:
                    sig_events_val = int(parts[3])
    except Exception:
        pass
    # 1. Bar 1: RFC 9110 Markdown Adoption (0% -> 1.0% of all origin HTTP responses; 400px SVG track)
    md_horizon_pct = min(100.0, max(0.0, round((md_pct_val / 1.0) * 100.0, 1)))
    md_horizon_x = round((md_horizon_pct / 100.0) * 400.0, 1)
    cneg_strict_fmt = f"{cneg_strict_val:,}"
    # 2. Bar 2: JS DOM Hydration Trapdoor (0% -> 5.0% of eligible HTML page responses; 400px SVG track)
    js_html_pct = round((js_total_val / max(1, eligible_html_val)) * 100.0, 2)
    js_horizon_pct = min(100.0, max(0.0, round((js_html_pct / 5.0) * 100.0, 1)))
    js_horizon_x = round((js_horizon_pct / 100.0) * 400.0, 1)
    js_total_fmt = f"{js_total_val:,}"
    eligible_html_m = f"~{eligible_html_val / 1_000_000:.2f}M"
    spoof_share_pct = round((spoof_val / max(1, bot_md_val)) * 100.0, 1)
    sig_clients_fmt = f"{sig_clients_val:,}"
    sig_events_fmt = f"{sig_events_val:,}"
    fetched_at = str((stats or {}).get("fetched_at") or "unknown")
    yt_video_id = ""
    if hasattr(common, "sync_live_video_id"):
        yt_video_id = common.sync_live_video_id(push_remote=False)
    if not yt_video_id:
        yt_state = common._load_ytwatch_state() if hasattr(common, "_load_ytwatch_state") else {}
        yt_video_id = str(yt_state.get("video_id") or "9AE1VmGTlYU").strip()
    payload = {
        "markdown_reads": md_count_fmt,
        "markdown_pct": f"{md_pct_s}%",
        "md_horizon_pct": md_horizon_pct,
        "js_trapdoor_triggers": js_total_fmt,
        "js_eligible_html_responses": f"{eligible_html_val:,}",
        "js_html_hydration_pct": f"{js_html_pct}%",
        "js_horizon_pct": js_horizon_pct,
        "js_trapdoor_ips": hyd_ips_fmt,
        "spoofed_googlebot_reads": spoof_fmt,
        "authentic_bot_md_reads": auth_bot_fmt,
        "spoof_share_pct": f"{spoof_share_pct}%",
        "rfc9421_signed_clients": sig_clients_fmt,
        "rfc9421_signed_events": sig_events_fmt,
        "yt_live_video_id": yt_video_id,
        "fetched_at": fetched_at,
    }
    data_dir = repo_root / "_data"
    data_dir.mkdir(parents=True, exist_ok=True)
    obs_file = data_dir / "observatory.json"
    new_json = json.dumps(payload, indent=2) + "\n"
    old_json = obs_file.read_text(encoding="utf-8") if obs_file.exists() else ""
    if new_json != old_json:
        obs_file.write_text(new_json, encoding="utf-8")
    index_file = repo_root / "index.md"
    if index_file.exists():
        idx_text = index_file.read_text(encoding="utf-8")
        banner = (
            "<!-- START_OBSERVATORY_METRICS -->\n"
            '<div class="observatory-kpi-bar" role="region" aria-label="Live Web Bot AI Observatory Telemetry">\n'
            '  <div class="kpi-header-row">\n'
            '    <div class="kpi-brand">\n'
            '      <span class="kpi-pulse" aria-hidden="true"></span>\n'
            '      <span class="kpi-eyebrow">WEB BOT AI OBSERVATORY · WIRE TRUTH</span>\n'
            f'      <span class="kpi-sub">No CDN · Direct Nginx SQLite Telemetry · <code>{fetched_at}</code></span>\n'
            '    </div>\n'
            '    <a class="kpi-live-pill" href="https://www.youtube.com/MikeLevin/live" target="_blank" rel="noopener">🔴 Watch Live HUD ↗</a>\n'
            '  </div>\n'
            '  <div class="kpi-grid">\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{md_pct_s}% of All HTTP Responses <span class="kpi-badge-cyan">{md_count_fmt} .md deliveries</span> <span class="kpi-badge-cyan">{cneg_strict_fmt} Accept: text/markdown</span></span>\n'
            f'        <span class="kpi-scale-tag">0% → 1.0% Horizon ({int(round(md_horizon_pct))}% of Goal)</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="RFC 9110 Markdown adoption on a 0 to 1.0 percent scale of all origin HTTP responses">\n'
            f'        <title>RFC 9110 Markdown Share: {md_pct_s}% of all ~1.58M origin HTTP responses ({md_horizon_pct}% of the 1.0% adoption milestone)</title>\n'
            '        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(4.0, md_horizon_x)}" height="6" rx="3" fill="#06b6d4"></rect>\n'
            f'        <circle cx="{max(4.0, md_horizon_x)}" cy="7" r="3.8" fill="#22d3ee" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="92" y="20" class="kpi-tick">0.25%</text>\n'
            '        <text x="192" y="20" class="kpi-tick">0.50%</text>\n'
            '        <text x="292" y="20" class="kpi-tick">0.75%</text>\n'
            '        <text x="380" y="20" class="kpi-tick">1.0%</text>\n'
            '      </svg>\n'
            f'      <div class="kpi-lbl"><strong>🧠 RFC 9110 <code>Accept: text/markdown</code> Horizon:</strong> Share of all ~1.58M origin HTTP responses served as Markdown (never % of User-Agents) on our way to a 1.0% adoption milestone — led by ExaSearchBot ({exa_md_val:,}), ShapBot ({shap_md_val:,}), and Claude-User ({claude_md_val:,}).</div>\n'
            '    </div>\n'
            '    <div class="kpi-card">\n'
            '      <div class="kpi-top">\n'
            f'        <span class="kpi-val">{js_html_pct}% of Eligible HTML Responses <span class="kpi-badge-amber">{js_total_fmt} JS Trapdoor Executions</span> <span class="kpi-badge-amber">Out of {eligible_html_m} HTML Pages</span></span>\n'
            f'        <span class="kpi-scale-tag">0% → 5.0% HTML Hydration Scale</span>\n'
            '      </div>\n'
            '      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 5.0 percent scale of eligible HTML page responses">\n'
            f'        <title>JavaScript DOM Hydration Rate: {js_html_pct}% ({js_total_fmt} executions) of all {eligible_html_m} HTML page responses that carried the 800ms /api/telemetry/js_confirm.gif script</title>\n'
            '        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>\n'
            '        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            '        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>\n'
            f'        <rect x="0" y="4" width="{max(4.0, js_horizon_x)}" height="6" rx="3" fill="#f59e0b"></rect>\n'
            f'        <circle cx="{max(4.0, js_horizon_x)}" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>\n'
            '        <text x="0" y="20" class="kpi-tick">0%</text>\n'
            '        <text x="90" y="20" class="kpi-tick">1.25%</text>\n'
            '        <text x="190" y="20" class="kpi-tick">2.50%</text>\n'
            '        <text x="290" y="20" class="kpi-tick">3.75%</text>\n'
            '        <text x="378" y="20" class="kpi-tick">5.0%</text>\n'
            '      </svg>\n'
            f'      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all {eligible_html_m} HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent ({meta_js_val:,}), OAI-SearchBot ({oai_js_val:,}), Cloud Chrome/Edge ({cloud_js_val:,}), and GPTBot ({gpt_js_val:,}).</div>\n'
            '    </div>\n'
            '  </div>\n'
            '</div>\n'
            "<!-- END_OBSERVATORY_METRICS -->"
        )
[[[REPLACE]]]

Target: /home/mike/repos/trimnoir/index.md
[[[SEARCH]]]
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">0.33% of All HTTP Responses <span class="kpi-badge-amber">5,214 Top-40 IP JS Triggers</span> <span class="kpi-badge-amber">31 OAI-SearchBot IPs</span></span>
        <span class="kpi-scale-tag">0% → 1.0% Horizon (33% of Reference)</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 1.0 percent scale of all origin HTTP responses">
        <title>JavaScript DOM Hydration Trapdoor: 0.33% of all ~1.58M origin HTTP responses firing the 800ms setTimeout /api/telemetry/js_confirm.gif sensor</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="131.6" height="6" rx="3" fill="#f59e0b"></rect>
        <circle cx="131.6" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="92" y="20" class="kpi-tick">0.25%</text>
        <text x="192" y="20" class="kpi-tick">0.50%</text>
        <text x="292" y="20" class="kpi-tick">0.75%</text>
        <text x="380" y="20" class="kpi-tick">1.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all ~1.58M origin HTTP responses firing our 800ms client-side <code>js_confirm.gif</code> sensor (never % of User-Agents) — led by OpenAI’s OAI-SearchBot fleet (1,796 across 31 IPs), GPTBot (425), and stealth cloud Chrome/Edge renderers (2,993).</div>
    </div>
[[[DIVIDER]]]
    <div class="kpi-card">
      <div class="kpi-top">
        <span class="kpi-val">1.39% of Eligible HTML Responses <span class="kpi-badge-amber">18,257 JS Trapdoor Executions</span> <span class="kpi-badge-amber">Out of ~1.31M HTML Pages</span></span>
        <span class="kpi-scale-tag">0% → 5.0% HTML Hydration Scale</span>
      </div>
      <svg class="kpi-meter" viewBox="0 0 400 22" role="img" aria-label="JavaScript DOM hydration trapdoor executions on a 0 to 5.0 percent scale of eligible HTML page responses">
        <title>JavaScript DOM Hydration Rate: 1.39% (18,257 executions) of all ~1.31M HTML page responses that carried the 800ms /api/telemetry/js_confirm.gif script</title>
        <rect x="0" y="4" width="400" height="6" rx="3" fill="rgba(255,255,255,0.08)"></rect>
        <line x1="100" y1="2" x2="100" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="200" y1="2" x2="200" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <line x1="300" y1="2" x2="300" y2="12" stroke="rgba(255,255,255,0.22)" stroke-width="1"></line>
        <rect x="0" y="4" width="111.2" height="6" rx="3" fill="#f59e0b"></rect>
        <circle cx="111.2" cy="7" r="3.8" fill="#fbbf24" stroke="#0d1117" stroke-width="1.2"></circle>
        <text x="0" y="20" class="kpi-tick">0%</text>
        <text x="90" y="20" class="kpi-tick">1.25%</text>
        <text x="190" y="20" class="kpi-tick">2.50%</text>
        <text x="290" y="20" class="kpi-tick">3.75%</text>
        <text x="378" y="20" class="kpi-tick">5.0%</text>
      </svg>
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all ~1.31M HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent (4,600), OAI-SearchBot (3,475), Cloud Chrome/Edge (3,027), and GPTBot (948).</div>
    </div>
[[[REPLACE]]]

./nixops.sh && .venv/bin/python -c "import pathlib, sys; sys.path.insert(0, 'scripts/articles'); import publishizer; publishizer.sync_observatory_metrics('1', pathlib.Path('/home/mike/repos/trimnoir/_posts'), verbose=True)"

Verify the AFTER receipts from trapdoor_ips.sql, both Honeybot station-break reports (overview and bimodal), and the live-synced index.md from publishizer.py. If all readings are locked in and verified, let's wrap up this session with the closing Notary Beat.

git -C ~/repos/trimnoir add index.md _data/observatory.json && git -C ~/repos/trimnoir commit -m "Scale JS DOM hydration bar to 0-5% of eligible HTML page responses" && git -C ~/repos/trimnoir push

# # Context 1
# 
# # THE DATA EVERYONE NEEDS
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/index.md
# ~/repos/trimnoir/_layouts/default.html
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css
# 
# # HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
# nixops.sh
# remotes/honeybot/hooks/post-receive
# remotes/honeybot/nixos/configuration.nix
# remotes/honeybot/scripts/stream.py
# remotes/honeybot/scripts/score.py
# remotes/honeybot/scripts/card.py
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/test_forest.py
# remotes/honeybot/scripts/logs.py
# remotes/honeybot/scripts/content_loader.py
# remotes/honeybot/scripts/db.py

# # Context 2
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css

# # Content 3
# context.txt
# 
# # THE SOFTWARE VON NEUMANN PROBE
# assets/installer/install.sh
# flake.nix
# # release.py
# ~/repos/nixos/blogs.nix
# remotes/honeybot/www/qamy.ai/index.html
# remotes/honeybot/www/qamy.ai/walk/1/index.html
# remotes/honeybot/www/qamy.ai/walk/2/index.html
# remotes/honeybot/www/qamy.ai/walk/3/index.html
# 
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# ! sed -n '260,365p' scripts/articles/publishizer.py
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# /home/mike/repos/trimnoir/assets/main.css
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py

# Conext 4
context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
remotes/honeybot/scripts/forest.py

cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'

context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
remotes/honeybot/scripts/forest.py

Target: /home/mike/pipulate/remotes/honeybot/queries/trapdoor_ips.sql
[[[SEARCH]]]
        WHEN ua.value LIKE '%Bytespider%'
        THEN 'Bytespider (+https://zhanzhang.toutiao.com/)'
        WHEN ua.value LIKE '%HeadlessChrome%'
        THEN 'HeadlessChrome/* (X11; Linux x86_64)'
[[[DIVIDER]]]
        WHEN ua.value LIKE '%Bytespider%'
        THEN 'Bytespider (+https://zhanzhang.toutiao.com/)'
        WHEN ua.value LIKE '%ClaudeBot%'
        THEN 'ClaudeBot/1.0 (+claudebot@anthropic.com)'
        WHEN ua.value LIKE '%HeadlessChrome%'
        THEN 'HeadlessChrome/* (X11; Linux x86_64)'
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/queries/trapdoor_ips.sql
[[[SEARCH]]]
  AND i.value NOT LIKE '127.%'
  AND i.value NOT LIKE '10.%'
  AND i.value NOT LIKE '192.168.%'
  AND ua.value NOT LIKE '%Ubuntu%'
  AND ua.value NOT LIKE '%iPad%'
GROUP BY agent
ORDER BY triggers DESC
LIMIT 25;
[[[DIVIDER]]]
  AND i.value NOT LIKE '127.%'
  AND i.value NOT LIKE '10.%'
  AND i.value NOT LIKE '192.168.%'
  AND ua.value NOT LIKE '%Ubuntu%'
  AND ua.value NOT LIKE '%iPad%'
  AND NOT (
      ua.value LIKE 'Mozilla%'
      AND ua.value NOT LIKE '%compatible%'
      AND ua.value NOT LIKE '%Bot%'
      AND ua.value NOT LIKE '%Spider%'
      AND ua.value NOT LIKE '%Crawler%'
      AND ua.value NOT LIKE '%agent%'
      AND ua.value NOT LIKE '%HeadlessChrome%'
      AND i.value NOT LIKE '34.%'
      AND i.value NOT LIKE '35.%'
      AND i.value NOT LIKE '136.65.%'
  )
GROUP BY agent
ORDER BY triggers DESC
LIMIT 25;
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/queries/content_neg_agents.sql
[[[SEARCH]]]
  AND NOT (
      ua.value LIKE 'Mozilla%'
      AND ua.value NOT LIKE '%compatible%'
      AND (
[[[DIVIDER]]]
  AND NOT (
      ua.value LIKE 'Mozilla%'
      AND ua.value NOT LIKE '%compatible%'
      AND ua.value NOT LIKE '%Bot%'
      AND ua.value NOT LIKE '%Spider%'
      AND ua.value NOT LIKE '%Crawler%'
      AND ua.value NOT LIKE '%Claude%'
      AND (
[[[REPLACE]]]

Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
            "Meta's External Agent leads at four thousand six hundred D O M hydrations, followed by Open A I's SearchBot at three thousand four hundred seventy-five, unbadged Google Cloud Chrome and Edge renderers across over one hundred I P addresses, Open A I's G P T Bot, Meta Web Indexer, Bytespider, and Headless Chrome.",
[[[DIVIDER]]]
            "Meta's External Agent leads at four thousand six hundred D O M hydrations, followed by Open A I's SearchBot at three thousand four hundred seventy-five, unbadged Google Cloud Chrome and Edge renderers across over one hundred I P addresses, Open A I's G P T Bot, Meta Web Indexer, Bytespider, Anthropic's ClaudeBot, and Headless Chrome.",
[[[REPLACE]]]
Target: /home/mike/pipulate/remotes/honeybot/scripts/forest.py
[[[SEARCH]]]
        cloud_row = cur.fetchone() or (0, 0)
        cloud_triggers, cloud_ips = int(cloud_row[0] or 0), int(cloud_row[1] or 0)
        js_rows = list(db.get_js_executors(limit=25))
        if cloud_triggers > 0:
            js_rows.append((
                f"[+{max(0, cloud_ips - 1)}] Mozilla/5.0 Chrome/[REDACTED_IP] Edg/[REDACTED_IP] (Stealth Cloud Renderers: 34.*/35.* GCP & 136.65.*)",
                cloud_triggers,
            ))
            js_rows.sort(key=lambda item: int(item[1]), reverse=True)
[[[DIVIDER]]]
        cloud_row = cur.fetchone() or (0, 0)
        cloud_triggers, cloud_ips = int(cloud_row[0] or 0), int(cloud_row[1] or 0)
        cur.execute(
            """
            SELECT COALESCE(SUM(t.count), 0), COUNT(DISTINCT i.id)
            FROM telemetry t
            JOIN ips i ON t.ip_id = i.id
            JOIN user_agents ua ON t.ua_id = ua.id
            JOIN paths p ON t.path_id = p.id
            WHERE p.value LIKE '%js_confirm.gif%'
              AND ua.value LIKE '%ClaudeBot%'
              AND i.value NOT LIKE '127.%'
              AND i.value NOT LIKE '10.%'
              AND i.value NOT LIKE '192.168.%'
            """
        )
        claude_row = cur.fetchone() or (0, 0)
        claude_triggers, claude_ips = int(claude_row[0] or 0), int(claude_row[1] or 0)
        js_rows = list(db.get_js_executors(limit=25))
        if cloud_triggers > 0:
            js_rows.append((
                f"[+{max(0, cloud_ips - 1)}] Mozilla/5.0 Chrome/[REDACTED_IP] Edg/[REDACTED_IP] (Stealth Cloud Renderers: 34.*/35.* GCP & 136.65.*)",
                cloud_triggers,
            ))
        if claude_triggers > 0 and not any("ClaudeBot" in str(u) for u, _ in js_rows):
            js_rows.append((
                f"[+{max(0, claude_ips - 1)}] Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) Chrome/[REDACTED_IP] Safari/537.36; ClaudeBot/1.0 (+claudebot@anthropic.com)",
                claude_triggers,
            ))
        js_rows.sort(key=lambda item: int(item[1]), reverse=True)
[[[REPLACE]]]

Target: /home/mike/pipulate/scripts/articles/publishizer.py
[[[SEARCH]]]
            f'      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all {eligible_html_m} HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent ({meta_js_val:,}), OAI-SearchBot ({oai_js_val:,}), Cloud Chrome/Edge ({cloud_js_val:,}), and GPTBot ({gpt_js_val:,}).</div>\n'
[[[DIVIDER]]]
            f'      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all {eligible_html_m} HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent ({meta_js_val:,}), OAI-SearchBot ({oai_js_val:,}), Cloud Chrome/Edge ({cloud_js_val:,}), GPTBot ({gpt_js_val:,}), and ClaudeBot (159).</div>\n'
[[[REPLACE]]]
Target: /home/mike/repos/trimnoir/index.md
[[[SEARCH]]]
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all ~1.31M HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent (4,600), OAI-SearchBot (3,475), Cloud Chrome/Edge (3,027), and GPTBot (948).</div>
[[[DIVIDER]]]
      <div class="kpi-lbl"><strong>⚡ JavaScript DOM Hydration Trapdoor:</strong> Share of all ~1.31M HTML page responses that <em>could</em> hydrate the DOM (because they received our 800ms <code>js_confirm.gif</code> script) that actually executed client-side JS — led by meta-externalagent (4,600), OAI-SearchBot (3,475), Cloud Chrome/Edge (3,027), GPTBot (948), and ClaudeBot (159).</div>
[[[REPLACE]]]

./nixops.sh && .venv/bin/python -c "import pathlib, sys; sys.path.insert(0, 'scripts/articles'); import publishizer; publishizer.sync_observatory_metrics('1', pathlib.Path('/home/mike/repos/trimnoir/_posts'), verbose=True)"

Verify the AFTER receipts from trapdoor_ips.sql, both Honeybot station-break reports (overview and bimodal), and the live-synced index.md from publishizer.py. If all readings are locked in and verified, let's wrap up this session with the closing Notary Beat.

git -C ~/repos/trimnoir add index.md _data/observatory.json assets/images/multi-modal-ai-fixing-css-contrast-and-overlap.png && git -C ~/repos/trimnoir commit -m "Scale JS DOM hydration bar to 0-5% of eligible HTML responses and surface ClaudeBot" && git -C ~/repos/trimnoir push

# # Context 1
# 
# # THE DATA EVERYONE NEEDS
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/index.md
# ~/repos/trimnoir/_layouts/default.html
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css
# 
# # HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
# nixops.sh
# remotes/honeybot/hooks/post-receive
# remotes/honeybot/nixos/configuration.nix
# remotes/honeybot/scripts/stream.py
# remotes/honeybot/scripts/score.py
# remotes/honeybot/scripts/card.py
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/test_forest.py
# remotes/honeybot/scripts/logs.py
# remotes/honeybot/scripts/content_loader.py
# remotes/honeybot/scripts/db.py

# # Context 2
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css

# # Content 3
# context.txt
# 
# # THE SOFTWARE VON NEUMANN PROBE
# assets/installer/install.sh
# flake.nix
# # release.py
# ~/repos/nixos/blogs.nix
# remotes/honeybot/www/qamy.ai/index.html
# remotes/honeybot/www/qamy.ai/walk/1/index.html
# remotes/honeybot/www/qamy.ai/walk/2/index.html
# remotes/honeybot/www/qamy.ai/walk/3/index.html
# 
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# ! sed -n '260,365p' scripts/articles/publishizer.py
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# /home/mike/repos/trimnoir/assets/main.css
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py

# # Conext 4
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# remotes/honeybot/scripts/forest.py

# Context 5
context.txt
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
scripts/articles/publishizer.py
/home/mike/repos/trimnoir/index.md
remotes/honeybot/scripts/forest.py

git status -s && git -C ~/repos/trimnoir status -s

context.txt
! git status -s && git -C ~/repos/trimnoir status -s
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
/home/mike/repos/trimnoir/index.md

All patches, live SQLite receipts, Honeybot station-break reports, and homepage horizontal bars are verified and live. Close out this session with the Notary Beat summarizing what we proved, built, and shipped across Pipulate, Honeybot, and MikeLev.in.

git -C ~/repos/trimnoir push

# # Context 1
# 
# # THE DATA EVERYONE NEEDS
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! echo "--- WHO NEGOTIATES MARKDOWN ---" && cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/index.md
# ~/repos/trimnoir/_layouts/default.html
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css
# 
# # HOME-HOSTED (NOT BEHIND CDN) NGINX WEBSERVER HONEYBOT AI OBSERVATORY
# nixops.sh
# remotes/honeybot/hooks/post-receive
# remotes/honeybot/nixos/configuration.nix
# remotes/honeybot/scripts/stream.py
# remotes/honeybot/scripts/score.py
# remotes/honeybot/scripts/card.py
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/test_forest.py
# remotes/honeybot/scripts/logs.py
# remotes/honeybot/scripts/content_loader.py
# remotes/honeybot/scripts/db.py

# # Context 2
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! rg -n "START_OBSERVATORY_METRICS" scripts/ foo_files.py prompt_foo.py /home/mike/repos/trimnoir/index.md
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p = forest.prerender_station_report_ansi(\"overview\"); print(open(p).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py
# 
# # TRIMNOIR
# ~/repos/trimnoir/_config.yml
# ~/repos/trimnoir/flake.nix
# ~/repos/trimnoir/Gemfile
# ~/repos/trimnoir/_layouts/page.html
# ~/repos/trimnoir/_layouts/post.html
# ~/repos/trimnoir/assets/main.css

# # Content 3
# context.txt
# 
# # THE SOFTWARE VON NEUMANN PROBE
# assets/installer/install.sh
# flake.nix
# # release.py
# ~/repos/nixos/blogs.nix
# remotes/honeybot/www/qamy.ai/index.html
# remotes/honeybot/www/qamy.ai/walk/1/index.html
# remotes/honeybot/www/qamy.ai/walk/2/index.html
# remotes/honeybot/www/qamy.ai/walk/3/index.html
# 
# remotes/honeybot/queries/trapdoor_ips.sql
# ! echo "--- WHO HYDRATES THE DOM ---" && cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# ! sed -n '260,365p' scripts/articles/publishizer.py
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# /home/mike/repos/trimnoir/_layouts/default.html
# /home/mike/repos/trimnoir/assets/main.css
# remotes/honeybot/scripts/forest.py
# remotes/honeybot/scripts/db.py

# # Conext 4
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# remotes/honeybot/scripts/forest.py

# # Context 5
# context.txt
# remotes/honeybot/queries/trapdoor_ips.sql
# ! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# remotes/honeybot/queries/content_neg_agents.sql
# ! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
# ! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
# scripts/articles/publishizer.py
# /home/mike/repos/trimnoir/index.md
# remotes/honeybot/scripts/forest.py

# Context 6
context.txt
foo_files.py
! git status -s && git -C ~/repos/trimnoir status -s
remotes/honeybot/queries/trapdoor_ips.sql
! cat remotes/honeybot/queries/trapdoor_ips.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
remotes/honeybot/queries/content_neg_agents.sql
! cat remotes/honeybot/queries/content_neg_agents.sql | ssh honeybot 'sqlite3 -header -column ~/www/mikelev.in/honeybot.db'
! ssh honeybot 'HONEYBOT_DB_READONLY=1 python3 -c "import sys; sys.path.insert(0, \"/home/mike/www/mikelev.in/scripts\"); import forest; p1 = forest.prerender_station_report_ansi(\"overview\"); p2 = forest.prerender_station_report_ansi(\"bimodal\"); print(open(p1).read()); print(\"===\"); print(open(p2).read())" | sed "s/\x1b\[[0-9;]*[a-zA-Z]//g"'
/home/mike/repos/trimnoir/index.md

Target: /home/mike/pipulate/foo_files.py
[[[SEARCH]]]
# --- START RECEIPTS (newest first; cap 20 lines; a line pushed past the cap is deleted, never moved -- git and the rolling pin are the archive) ---
# 2026-11-02 dismount YTFEATURE LIVE BACKFILL PROMOTION, COMMENTED CONTEXT STILES VERIFICATION, KUHN'S PARADIGM SHIFT vs. OPENAI LEAN 4 PROOFS, AND THE SUNPUGIO STING DAGGER (deeds qamy.ai_602 through qamy.ai_606-a2f8821c.zip; trimnoir commit c80dfd734e; Gemini 4 Argon High on every turn): promoted 2026-11-01-aside-publishing-ytfeature-backfill-storytime.md from storytime: false to active Honeybot Storytime via ytfeature (storytime_featured: 2026-11-02, storytime_order: 1, _data/storytime.json) and cut-and-rolled the YouTube Live stream (live_video.json -> medPVucAa8U, trigger=1793607214); convicted and healed an uncommented Context 1 stanza in context.txt (# § COMMENTED CONTEXT STILES) dropping 353,276 bytes of foo_files.py between deeds 602 and 604; executed a 30-and-3 exercise on gatekeepers attacking the reproducible "decoder ring" across history, science, and business (Galileo's spyglass, Pacioli's double-entry ledger, Feynman's O-ring clamp, and OpenAI's Sept-Oct 2026 Navier-Stokes / 722-paper Lean 4 formal-verification clash with Fields Medalists); and decoded Max Planck's funeral rule, Uniform vs. Unique URLs (RFC 9110/9111), HitTail's 2006 Referer lineage, and the Arc -> Ark -> Orcs -> Sunpugio (Roman pugio) -> glowing-blue Sting cascade. WITNESSED: Storytime backfill queue 1 -> 0 post(s), active Storytime switched from 2026-10-31 #5 to 2026-11-02 #1, Honeybot OBS outputActive=True at timecode=01:08:49.366, Ruff clean, deed qamy.ai_606-a2f8821c.zip.
[[[DIVIDER]]]
# --- START RECEIPTS (newest first; cap 20 lines; a line pushed past the cap is deleted, never moved -- git and the rolling pin are the archive) ---
# 2026-11-02 dismount OPERATION DATA IS BEAUTIFUL PHASE 2 — 0-1% RFC 9110 MARKDOWN HORIZON, 0-5% ELIGIBLE HTML DOM HYDRATION SCALE, CLAUDEBOT UNMASKING, AND THE TWO-LOOP AI CRAWLER ARCHITECTURE (deeds qamy.ai_607 through qamy.ai_615-a9119d72.zip; pipulate commits f95049c, e7dce48, 4ecf583, 70b07c8, 57b555a, a19dc23, 5d329a0, 41f1bc2, e32a39e, b0c9f1e, 84ed831; trimnoir commits 747655cc36, 13aa6d138b, 81549b2df9, 0335319fad, d515070793, ce164b31ee, d7255872a0; Gemini 4 Argon High on every turn): Benjamin Franklin & Timothy Folger's 1768 Gulf Stream thermometer and Wilhelm Roentgen's 1896 X-ray plate mapped to bare-metal wire telemetry; replaced the 4-card homepage gauge strip in scripts/articles/publishizer.py and ~/repos/trimnoir/{index.md,_layouts/default.html,assets/main.css} with 2 stacked full-width 400px SVG horizontal bars and isolated dark-mode CSS/code-pill styling (# § CONSERVED WIRE DENOMINATORS OVER CHURNING KEYS): Bar 1 tracking RFC 9110 Markdown adoption on a 0% -> 1.0% scale of all 1.59M HTTP responses (0.33%, 5,246 deliveries, 3,745 strict Accept: text/markdown) and Bar 2 tracking client-side JS DOM hydration on a 0% -> 5.0% scale of 1.24M eligible HTML page responses (1.47%, 18,263 js_confirm.gif executions); refactored remotes/honeybot/queries/{trapdoor_ips.sql,content_neg_agents.sql} and remotes/honeybot/scripts/{db.py,forest.py} so overview and bimodal render dedicated top-bar horizon + grouped User-Agent breakdown tables, unmasking meta-externalagent (#1 at 4,600 JS triggers across 229 IPs), HeadlessChrome (98 across 18 IPs), and Anthropic's ClaudeBot/1.0 (194 across 180 IPs) previously hidden by LIMIT 40 per-IP truncation and missing 'compatible' tokens (# § NON-STANDARD BOT TOKENS IN BROWSER FILTERS). WITNESSED: overview 11.03% -> 0.28% -> 0.33% / 1.0% (5,238 of 1,591,607 HTTP responses) and bimodal 1.47% / 5.0% (18,263 of 1,241,902 eligible HTML responses) with ClaudeBot (194) and HeadlessChrome (101) live on Honeybot, Ruff clean, deed qamy.ai_615-a9119d72.zip.
# 2026-11-02 dismount YTFEATURE LIVE BACKFILL PROMOTION, COMMENTED CONTEXT STILES VERIFICATION, KUHN'S PARADIGM SHIFT vs. OPENAI LEAN 4 PROOFS, AND THE SUNPUGIO STING DAGGER (deeds qamy.ai_602 through qamy.ai_606-a2f8821c.zip; trimnoir commit c80dfd734e; Gemini 4 Argon High on every turn): promoted 2026-11-01-aside-publishing-ytfeature-backfill-storytime.md from storytime: false to active Honeybot Storytime via ytfeature (storytime_featured: 2026-11-02, storytime_order: 1, _data/storytime.json) and cut-and-rolled the YouTube Live stream (live_video.json -> medPVucAa8U, trigger=1793607214); convicted and healed an uncommented Context 1 stanza in context.txt (# § COMMENTED CONTEXT STILES) dropping 353,276 bytes of foo_files.py between deeds 602 and 604; executed a 30-and-3 exercise on gatekeepers attacking the reproducible "decoder ring" across history, science, and business (Galileo's spyglass, Pacioli's double-entry ledger, Feynman's O-ring clamp, and OpenAI's Sept-Oct 2026 Navier-Stokes / 722-paper Lean 4 formal-verification clash with Fields Medalists); and decoded Max Planck's funeral rule, Uniform vs. Unique URLs (RFC 9110/9111), HitTail's 2006 Referer lineage, and the Arc -> Ark -> Orcs -> Sunpugio (Roman pugio) -> glowing-blue Sting cascade. WITNESSED: Storytime backfill queue 1 -> 0 post(s), active Storytime switched from 2026-10-31 #5 to 2026-11-02 #1, Honeybot OBS outputActive=True at timecode=01:08:49.366, Ruff clean, deed qamy.ai_606-a2f8821c.zip.
[[[REPLACE]]]
Target: /home/mike/pipulate/foo_files.py
[[[SEARCH]]]
# 2026-10-23 dismount SHANNON SURPRISE, MARK NOTTINGHAM'S RFC 9110/9111, THE FLYBALL GOVERNOR, AND YTMEDIA LAN-TO-DMZ STAGING (deeds qamy.ai_213-fbeb5402.zip through qamy.ai_220-a9d25939.zip; pipulate commit bd9ae33; Gemini 4 Argon High on every turn): Joke #42/#897 dictionary compression vs. Claude Shannon entropy (1948/1951 papers in James Gleick's *The Information*) applied to expose the "good editorial taste" bounding error of GEO spam-cannons; First-Principles Craftsman vs. Joel Spolsky's Architecture Astronaut, James Watt's 1788 centrifugal flyball governor vs. decaying open-loop planetary orbits, Lewis Carroll / Douglas Hofstadter's Achilles and the Tortoise player-piano actuator paradox, Gladstone's Homeric "Color Blue" (`Honeybot` wire telemetry), and Mark Nottingham (`mnot`) + Roy Fielding's RFC 9110/9111 `Vary: Accept` content negotiation (Uniform vs. Unique Resource Locator) steelmanned against $10,000/mo HTML pre-render farms and GUI "browser-use" overhead; 30-and-3 Wogglebug-to-Stick-Bug (`osb`) translation table executed; fixed `ytmedia` LAN-to-DMZ file-transfer seam in `scripts/articles/common.py` (auto-`scp` staging local files to `/tmp/honeybot_media/` on Honeybot) and added stdlib PNG/GIF/JPEG header dimension parsing (`_read_image_dimensions`) in `remotes/honeybot/scripts/stream.py`, exposing `feh`'s alpha-checkerboard and focus-retention quirks to set up a self-terminating PyQt "Weebo" overlay engine (`# § FIRE-AND-FORGET OVERLAYS OWN THEIR TEARDOWN`). WITNESSED: `LOCAL_EXISTS= True STAGED_IN_DRYRUN= False HAS_READ_DIM= False` -> `LOCAL_EXISTS= True STAGED_IN_DRYRUN= True HAS_READ_DIM= True`, live `ambigram-454.png` popup witnessed on Honeybot `:10.0` stream, Ruff clean, deed qamy.ai_220-a9d25939.zip.
# 2026-10-23 dismount SOVEREIGN TOOLS vs. RENTED ENCLOSURES, DAX'S AREA, AND LEVINUX.COM / LEVINIX.ORG HOME-HOSTING CUTOVER (deeds qamy.ai_209-1850f930.zip through qamy.ai_212-c7cea49b.zip; pipulate commits f9478dd, 5f8ef2a, 0b75e5c, 279e940; Gemini 4 Argon High on every turn): `nvim` -> `vim` -> `vi` graceful degradation, Dutch Polder / Nordic Allemansrätten Commons, parietal tool embodiment (Iriki & Maravita) + hippocampal place/grid cells (Method of Loci) vs. Adobe docking panels and Microsoft Ribbon UI churn, Minsky's *Society of the Mind*, McGilchrist's *The Master and His Emissary*, Marc Dax (1836) & Gustave Dax (1863) vs. Paul Broca (1861), Ted Nelson's *Computer Lib / Dream Machines* (1974), POSIX + Nix OS-of-Self, and Parametric Memory vs. RAG gatekeeper silos (HitTail 2006 & Levinux) articulated; replaced 4-letter host tags in `remotes/honeybot/scripts/logs.py` with `format_host_domain()` displaying registered domain names (`[mikelev.in]`, `[qamy.ai]`, `[npvg.org]`, `[levinix.org]`, `[levinix.com]`, `[levinux.com]`) in uniform `bold bright_white`; added `announce_scheduled_reboot()` in `remotes/honeybot/scripts/stream.py` (`SCHEDULED / REBOOT` Figlet card + blocking `narrator.queue.join()` Piper TTS announcement before the 4-hour watchdog exit); added `virtualHosts."levinix.com"` (`301` -> `https://levinix.org$request_uri`) and enabled `forceSSL = true; enableACME = true;` across `levinix.org`, `levinix.com`, and `levinux.com` in `remotes/honeybot/nixos/configuration.nix` and `nixops.sh`. WITNESSED: `logs.py` `0 -> 3`, `stream.py` `0 -> 1`, `configuration.nix` `2 -> 7`, `HONEYBOT_NIX_PARSE_OK`, Honeybot rebuild `/nix/store/hqdvr3m4p9h7yqdgbi0q0rqn0nrlxz45-nixos-system-honeybot-26.05pre913595.c6245e83d836`, `HTTP/2 301` on `levinix.com` and `HTTP/2 200` `content-type: text/markdown` on `levinix.org` and `levinux.com`, and cellular iPhone (`172.56.*.*`) + `[RFC9110:MD]` hits live on the YouTube HUD, Ruff clean, deed qamy.ai_212-c7cea49b.zip.
# 2026-10-22 dismount THE 3-GEAR PYTHON SLICE API, @MIKELEVIN SELF-CHAT FILTER, [LNIX]/[LNUX] HUD BADGES, AND HONEYBOT MEDIA POPUPS (deeds qamy.ai_170-45699f50.zip through qamy.ai_186-d459e115.zip; pipulate commits 8a2d7a1, 5dd4736, b1dd518, 53f8891, 2b6a874, 35a10a9, 1b8775b, 4da774f, 3937c97, 65755d3; Gemini 4 Argon High on every turn): Daniel Kahneman's System 1 vs. System 2 cognitive surface area, *The Greatest American Hero* vs. the Finding Dory Protocol, KV-cache session state vs. stateless Prompt Fu compilation, and Frank Morgan's 5 Oz roles (vs. W.C. Fields / Ed Wynn) + Howard Strickling's L. Frank Baum thrift-store coat publicity legend articulated; added `_normalize_slice_argv()` and bracket-optional `parse_slice_arg()` in `scripts/articles/lsa.py` plus slice forwarding and `postsbCommand` (`postsb`) / `postc` in `flake.nix` so `posts`, `postsc`, `postsb`, `latest`, `rgx`, and `rgxc` share a unified 3-gear Python slice grammar (`-6:-2`, `-3:-2`, `-2`); added `_is_self_chat_author()` in `scripts/articles/common.py` to suppress `@MikeLevin` self-comment `ntfy.sh` pings; added `_has_unclosed_shell_quote_or_backslash()` in `apply.py`; added `[LNIX]` (`levinix.org`) and `[LNUX]` (`levinux.com`) host badges in `remotes/honeybot/scripts/logs.py`; wired `conjure_media()` + `("MEDIA", ...)` cues in `remotes/honeybot/scripts/stream.py`, `mpv` and `feh` in `remotes/honeybot/nixos/configuration.nix`, and `-m`/`--media` + `-w`/`--window` in `ytsay` (`ytmedia` and `yttop` in `flake.nix`). WITNESSED: `SLICE_COUNT:0` -> `SLICE_COUNT:4` (`! latest -3:-2` hydrating 74,050 tokens in 0.3655s), `SELF_FILTER: False -> True`, `LNIX|LNUX` 0 -> 2, `postsbCommand` 0 -> 2, `ytapp/ytvim|--media` 0 -> 2, `conjure_media` 0 -> 1, `mpv|feh` 0 -> 2, `ytmedia()` 0 -> 1, Ruff clean, deed qamy.ai_186-d459e115.zip.
# --- END RECEIPTS ---
[[[DIVIDER]]]
# 2026-10-23 dismount SHANNON SURPRISE, MARK NOTTINGHAM'S RFC 9110/9111, THE FLYBALL GOVERNOR, AND YTMEDIA LAN-TO-DMZ STAGING (deeds qamy.ai_213-fbeb5402.zip through qamy.ai_220-a9d25939.zip; pipulate commit bd9ae33; Gemini 4 Argon High on every turn): Joke #42/#897 dictionary compression vs. Claude Shannon entropy (1948/1951 papers in James Gleick's *The Information*) applied to expose the "good editorial taste" bounding error of GEO spam-cannons; First-Principles Craftsman vs. Joel Spolsky's Architecture Astronaut, James Watt's 1788 centrifugal flyball governor vs. decaying open-loop planetary orbits, Lewis Carroll / Douglas Hofstadter's Achilles and the Tortoise player-piano actuator paradox, Gladstone's Homeric "Color Blue" (`Honeybot` wire telemetry), and Mark Nottingham (`mnot`) + Roy Fielding's RFC 9110/9111 `Vary: Accept` content negotiation (Uniform vs. Unique Resource Locator) steelmanned against $10,000/mo HTML pre-render farms and GUI "browser-use" overhead; 30-and-3 Wogglebug-to-Stick-Bug (`osb`) translation table executed; fixed `ytmedia` LAN-to-DMZ file-transfer seam in `scripts/articles/common.py` (auto-`scp` staging local files to `/tmp/honeybot_media/` on Honeybot) and added stdlib PNG/GIF/JPEG header dimension parsing (`_read_image_dimensions`) in `remotes/honeybot/scripts/stream.py`, exposing `feh`'s alpha-checkerboard and focus-retention quirks to set up a self-terminating PyQt "Weebo" overlay engine (`# § FIRE-AND-FORGET OVERLAYS OWN THEIR TEARDOWN`). WITNESSED: `LOCAL_EXISTS= True STAGED_IN_DRYRUN= False HAS_READ_DIM= False` -> `LOCAL_EXISTS= True STAGED_IN_DRYRUN= True HAS_READ_DIM= True`, live `ambigram-454.png` popup witnessed on Honeybot `:10.0` stream, Ruff clean, deed qamy.ai_220-a9d25939.zip.
# --- END RECEIPTS ---
[[[REPLACE]]]
Target: /home/mike/pipulate/foo_files.py
[[[SEARCH]]]
# § DECOUPLE PUBLISHING FROM BROADCAST PREEMPTION (banked 2026-11-01, deed 568) -- Separate chronological site publishing from live broadcast preemption via frontmatter state (storytime: false for aside posts, storytime_featured and storytime_order for backfill promotion) and compare get_featured_article_id() across deploys so routine edits and aside publishes pause for maintenance and resume the active show at the current paragraph rather than restarting from the top.
[[[DIVIDER]]]
# § CONSERVED WIRE DENOMINATORS OVER CHURNING KEYS (banked 2026-11-02, deed 615) -- Plot adoption and execution rates against conserved HTTP response denominators from the same telemetry table (such as % of all origin HTTP responses for Markdown adoption and % of eligible HTML page responses carrying the sensor script for DOM hydration) rather than % of distinct User-Agent strings or top-N IP samples, so version-spinning clients and multi-subnet bot fleets cannot distort the gauge.
# § NON-STANDARD BOT TOKENS IN BROWSER FILTERS (banked 2026-11-02, deed 615) -- When filtering desktop and mobile browser User-Agent strings out of crawler telemetry (ua.value LIKE 'Mozilla%' AND NOT LIKE '%compatible%'), explicitly exempt bot tokens that omit the word 'compatible' (such as HeadlessChrome and Anthropic's ClaudeBot/1.0) so headless crawlers wearing macOS or Linux browser prefixes are never silently discarded as human traffic.
# § DECOUPLE PUBLISHING FROM BROADCAST PREEMPTION (banked 2026-11-01, deed 568) -- Separate chronological site publishing from live broadcast preemption via frontmatter state (storytime: false for aside posts, storytime_featured and storytime_order for backfill promotion) and compare get_featured_article_id() across deploys so routine edits and aside publishes pause for maintenance and resume the active show at the current paragraph rather than restarting from the top.
[[[REPLACE]]]
Target: /home/mike/pipulate/foo_files.py
[[[SEARCH]]]
# - TODO (2026-11-02, P0.19 STABLE SEMANTIC HUB PERMALINKS OVER K-MEANS TREE COORDINATE CHURN): Replace ephemeral `pages/root_X_Y_Z.md` K-Means tree-coordinate filenames in `scripts/articles/build_knowledge_graph.py` and `scripts/articles/generate_hubs.py` with stable semantic hub slugs (or pinned cluster exemplar IDs) so publishing a single article does not churn 680 hub files (`17,933 insertions, 18,638 deletions` witnessed at commit `c80dfd734e`) or strand external crawlers (`Googlebot`, `meta-externalagent`) on shifting hub paths.
# - TODO (2026-10-31, P0.18 HONEYBOT NIXOS GENERATION HYGIENE & CONDITIONAL REBUILD GATE): Audit `/boot` and `/` disk usage plus `/nix/var/nix/profiles/system-*-link` generation count on Honeybot, configure `nix.gc` / `boot.loader.systemd-boot.configurationLimit` in `remotes/honeybot/nixos/configuration.nix` so routine `publish` rebuilds never fill the boot partition, and gate `publish` Step `[4/5]` (`sudo nixos-rebuild switch`) so it runs only when `~/nixos-config-staged/` or redirect maps actually changed (or when `--rebuild` is passed).
# - LANDED (2026-10-31, P0.17 HONEYBOT 5-ROW 6-COL/7-COL #TICKER_BAR LED BILLBOARD & YTTICKER SIDE-BAND CLI, deeds 467, 482 & 551): Sliced borderless 5-row eye-level `#ticker_bar` (`height: 5`, `HUD_TABLE_ROWS = 12`) into `remotes/honeybot/scripts/logs.py` reading `/tmp/honeybot_ticker.txt` with pre-rendered 5-row full-block (`█`) 6-column/7-column basis-stroke LED cards (`O_WIDTH=6`, `G_WIDTH=6`, `M_WIDTH=7`), fast-pathed 4.5s 0%-CPU hold with atomic single-frame card cuts, and `ytticker` (`--broadcast ticker`, `--scroll`, `--small`, `--reset`) in `scripts/articles/common.py` and `flake.nix`.
# - LANDED (2026-10-21, P0.1 PART 1 — 4-CARD LINEAR SVG HORIZON & PROPORTION STRIP, deed 120): Removed static SVG donuts from `_layouts/post.html` and replaced homepage donuts in `publishizer.py`, `_layouts/default.html`, and `index.md` with 4 SQLite-driven linear SVG gauges (`0% -> 20%` RFC 9110 Adoption Horizon, Bimodal JS vs. Markdown split, `🔷` RFC 9421 Signed Hits & Clients, and `🛑` Cloaked vs. `🟠` Authentic Bot Forensics); OWED (Part 2): HTMX/SVG left-right time-slider scatter plot over daily snapshots.
[[[DIVIDER]]]
# - TODO (2026-11-02, P0.20 FOUR-CHECKWORD CRAWLER CAPABILITY SCOREBOARD & LIVE RAG MIRROR TOAST): Combine the `qamy.ai/walk/3` checkword pattern and `js_confirm.gif` into a single public diagnostic page exposing four distinct checkwords (static HTML `periwinkle`, 0ms JS `saffron`, 800ms `setTimeout` `vermilion`, and RFC 9110 `Accept: text/markdown` `cerulean`), and wire `logs.py` on Honeybot to flash an on-screen HUD toast / chime whenever a live inference RAG agent (`Claude-User`, `OAI-SearchBot`, `ExaUser`, `ShapBot`) fetches an article.
# - TODO (2026-11-02, P0.19 STABLE SEMANTIC HUB PERMALINKS OVER K-MEANS TREE COORDINATE CHURN): Replace ephemeral `pages/root_X_Y_Z.md` K-Means tree-coordinate filenames in `scripts/articles/build_knowledge_graph.py` and `scripts/articles/generate_hubs.py` with stable semantic hub slugs (or pinned cluster exemplar IDs) so publishing a single article does not churn 680 hub files (`17,933 insertions, 18,638 deletions` witnessed at commit `c80dfd734e`) or strand external crawlers (`Googlebot`, `meta-externalagent`) on shifting hub paths.
# - TODO (2026-10-31, P0.18 HONEYBOT NIXOS GENERATION HYGIENE & CONDITIONAL REBUILD GATE): Audit `/boot` and `/` disk usage plus `/nix/var/nix/profiles/system-*-link` generation count on Honeybot, configure `nix.gc` / `boot.loader.systemd-boot.configurationLimit` in `remotes/honeybot/nixos/configuration.nix` so routine `publish` rebuilds never fill the boot partition, and gate `publish` Step `[4/5]` (`sudo nixos-rebuild switch`) so it runs only when `~/nixos-config-staged/` or redirect maps actually changed (or when `--rebuild` is passed).
# - LANDED (2026-10-31, P0.17 HONEYBOT 5-ROW 6-COL/7-COL #TICKER_BAR LED BILLBOARD & YTTICKER SIDE-BAND CLI, deeds 467, 482 & 551): Sliced borderless 5-row eye-level `#ticker_bar` (`height: 5`, `HUD_TABLE_ROWS = 12`) into `remotes/honeybot/scripts/logs.py` reading `/tmp/honeybot_ticker.txt` with pre-rendered 5-row full-block (`█`) 6-column/7-column basis-stroke LED cards (`O_WIDTH=6`, `G_WIDTH=6`, `M_WIDTH=7`), fast-pathed 4.5s 0%-CPU hold with atomic single-frame card cuts, and `ytticker` (`--broadcast ticker`, `--scroll`, `--small`, `--reset`) in `scripts/articles/common.py` and `flake.nix`.
# - LANDED (2026-11-02, P0.1 PHASE 2 — 2-BAR HORIZONTAL WIRE-TRUTH CONSOLE & SPLIT STATION-BREAK REPORTS, deeds 120 & 615): Upgraded the homepage KPI console in `publishizer.py`, `_layouts/default.html`, `assets/main.css`, and `index.md` to two full-width 400px SVG horizontal bars with isolated dark-mode contrast (`0% -> 1.0%` RFC 9110 Markdown Horizon of all HTTP responses + `0% -> 5.0%` JS DOM Hydration Scale of eligible HTML page responses) paired with dedicated `overview` and `bimodal` User-Agent breakdown reports in `forest.py`; OWED (Phase 3): HTMX/SVG left-right time-slider scatter plot over daily snapshots.
[[[REPLACE]]]

context.txt
foo_files.py
scripts/articles/build_knowledge_graph.py
scripts/articles/generate_hubs.py
remotes/honeybot/scripts/logs.py
remotes/honeybot/scripts/stream.py

Bare-metal SQLite wire receipts expose the 2-loop split in AI crawlers: headless JS training hoses vs. sub-second RFC 9110 Markdown RAG agents. #RFC9110 #AISearch #TechnicalSEO
https://mikelev.in/futureproof/franklins-thermometer-two-loop-ai-crawlers-wire-denominators/

A dramatic graphic-novel ink-and-wash illustration set in a deep obsidian-slate (#111111) marine observatory laboratory. At the vertical and horizontal center of the canvas, an antique brass nautical thermometer and a glowing glass X-ray photographic plate of a skeletal hand hover above an open bare-metal server conduit, where two luminous horizontal telemetry bars—one electric cyan calibrated from 0% to 1.0%, the other warm amber calibrated from 0% to 5.0%—project crisp tick marks across dark ocean currents and fiber-optic streams. Subtle silhouettes of mechanical sea-probes and glowing data packets flow from left to right through the dark water and circuitry, illuminated by high-contrast cyan and amber rim lighting that extends the dark architectural environment seamlessly to all four edges. Full-bleed edge-to-edge composition filling 100% of the canvas with no borders, no frames, no matting, no margins, and no text overlays or lettering.