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 commands/loulanyue/awesome-claude-notes/docsgit clone --depth 1 https://github.com/loulanyue/awesome-claude-notesWrote 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/commands/loulanyue/awesome-claude-notes/docs)<a href="https://agentmods.dev/commands/loulanyue/awesome-claude-notes/docs"><img src="https://agentmods.dev/badge/commands/loulanyue/awesome-claude-notes/docs.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 | $0.00013 | $0.00375 |
| Opus 5 | $0.00006 | $0.00187 |
| Sonnet 5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
docs 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 today.
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
/docs
Purpose
Look up up-to-date documentation for a library, framework, or API and return a summarized answer with relevant code snippets. Uses the Context7 MCP (resolve-library-id and query-docs) so answers reflect current docs, not training data.
Usage
/docs [library name] [question]
Use quotes for multi-word arguments so they are parsed as a single token. Example: /docs "Next.js" "How do I configure middleware?"
If library or question is omitted, prompt the user for:
- The library or product name (e.g. Next.js, Prisma, Supabase).
- The specific question or task (e.g. "How do I set up middleware?", "Auth methods").
Workflow
- Resolve library ID — Call the Context7 tool
resolve-library-idwith the library name and the user's question to get a Context7-compatible library ID (e.g./vercel/next.js). - Query docs — Call
query-docswith that library ID and the user's question. - Summarize — Return a concise answer and include relevant code examples from the fetched documentation. Mention the library (and version if relevant).
Output
The user receives a short, accurate answer backed by current docs, plus any code snippets that help. If Context7 is not available, say so and answer from training data with a note that docs may be outdated.
Navigation
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.
- today First seen · 39 lines · 13 tokens per session scan A 94c7fa1728d2
docs is a command published in the GitHub repository loulanyue/awesome-claude-notes (270 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 375 once invoked, about $0.0001 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 2026-09-03.
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