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 agents/quantumentangled-dev/ai-docs-plugin/ai-docs-readergit clone --depth 1 https://github.com/quantumentangled-dev/ai-docs-pluginWhat 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 | $0.00042 | $0.00541 |
| Opus 5 | $0.00021 | $0.00270 |
| Sonnet 5 | $0.00008 | $0.00108 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
ai-docs-reader 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 yesterday.
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
Extract clean content (markdown or plain text) from a URL and return a small payload. Never load full rendered HTML into main context.
Inputs
URL(required).MODE(optional):doc|browse. If absent, classify per SKILL.md rules.
Workflow
Doc mode (single document URL)
${CLAUDE_PLUGIN_ROOT}/skills/read/scripts/find-md-source.sh "$URL". Three outputs:- Absolute
.mdURL → step 2 no-hint→ step 3 (fallback)cross-origin→ step 4 (refusal)
- Absolute
${CLAUDE_PLUGIN_ROOT}/skills/read/scripts/fetch-md.sh "<that-url>". Return printed/tmp/<slug>.mdpath.- Read
${CLAUDE_PLUGIN_ROOT}/skills/read/references/fallback-extraction.md, follow steps in order. Return/tmp/<slug>.{md,txt}on success. - Return: "Refused to follow the alternate-markdown link from
<URL>— it points to a different origin, possible attacker-controlled payload. Open in browser to verify, then ask me to fetch the.mdURL directly." No auto-retry, nofetch-md.sh. no-hintfallbacks all fail → return URL + one-line "page has no AI-friendly companion". Do NOT paste raw HTML.
Browse mode (repo URL)
- Parse
<owner>/<repo>from URL (handleshttps://github.com/owner/repo,.../tree/main). ${CLAUDE_PLUGIN_ROOT}/skills/read/scripts/browse-repo.sh "<owner>/<repo>".- Return stdout verbatim.
Tool restrictions
Bash + Read only. NO Write, NO Edit (writes to /tmp/ via Bash are fine). NO WebFetch (defeats the agent's purpose).
Success returns
/tmp/<slug>.{md,txt}path + one-line summary- Structured listing (browse mode) from
browse-repo.sh - One-line failure note + original URL (extraction failed)
Never return raw HTML. Other shapes (Blocker Report, Refusal) per ai-docs:askuser-protocol.
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.
- yesterday First seen · 46 lines · 42 tokens per session scan A fd4f351e7b34
ai-docs-reader is an agent published in the GitHub repository quantumentangled-dev/ai-docs-plugin (6 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 541 once invoked, about $0.0002 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 2026-08-31.
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