Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/micuintus/llm-wiki/ingest-web-chatnpx skills add micuintus/llm-wiki --skill ingest-web-chatgit clone --depth 1 https://github.com/micuintus/llm-wikiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/micuintus/llm-wiki/ingest-web-chat)<a href="https://agentmods.dev/skills/micuintus/llm-wiki/ingest-web-chat"><img src="https://agentmods.dev/badge/skills/micuintus/llm-wiki/ingest-web-chat.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.00487 |
| Opus 5 | $0.00043 | $0.00244 |
| Sonnet 5 | $0.00017 | $0.00097 |
| Haiku 4.5 | $0.00009 | $0.00049 |
Grade A, and why
ingest-web-chat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ingest-web-chat
URL → role-segmented markdown in raw-sources/conversations/. Compile
into wiki pages from there using the parent skill.
Setup (one-time)
Launch a dedicated Chrome and sign into each provider once:
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
--remote-debugging-port=9222 \
--user-data-dir="$HOME/.chrome-llm-wiki"
Leave it running while ingesting. Profile persists across sessions.
Usage
tsx ingest.ts <chat-url> [--out <project-with-llm-wiki>]
--out defaults to cwd; the script walks upward to find llm-wiki/SCHEMA.md.
Override CDP endpoint via LLM_WIKI_CDP (default http://localhost:9222).
Providers
| Host | Module | Status |
|---|---|---|
claude.ai |
providers/claude.ts |
role-segmented |
gemini.google.com |
providers/gemini.ts |
role-segmented |
| anything else | _fallback.ts |
bulk HTML → Turndown |
Selectors lifted from MIT-licensed revivalstack/ai-chat-exporter. To
add a provider: copy providers/claude.ts, swap the selectors, wire
into pickProvider() in ingest.ts.
Why CDP and not Playwright-launched Chromium
Cloudflare Turnstile (Claude.ai's gate) blocks Playwright's bundled
Chromium and channel: "chrome" and stealth-patched
rebrowser-playwright. Connecting to a user-launched real Chrome via
--remote-debugging-port is the only path that reliably gets through
and preserves enterprise SSO/device-trust.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 56 lines · 86 tokens per session scan A 9e30d9867e4c
ingest-web-chat is a skill published in the GitHub repository micuintus/llm-wiki (24 stars, last pushed 3mo ago), licensed MIT. It adds 86 tokens to every session and 487 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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