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 skills add myths-labs/muse --skill context7git clone --depth 1 https://github.com/myths-labs/museWrote 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/myths-labs/muse/context7)<a href="https://agentmods.dev/skills/myths-labs/muse/context7"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/context7/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/myths-labs/muse/context7"><img src="https://agentmods.dev/badge/skills/myths-labs/muse/context7.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00058 | $0.00452 |
| Opus 5.5 | $0.00023 | $0.00181 |
| Sonnet 5.5 | $0.00012 | $0.00090 |
| Haiku 4.5 | $0.00006 | $0.00045 |
Grade A, and why
context7-mcp 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 1mo 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.
This is a copy
97% identical to documentation-lookup — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
When the user asks about libraries, frameworks, or needs code examples, use Context7 to fetch current documentation instead of relying on training data.
When to Use This Skill
Activate this skill when the user:
- Asks setup or configuration questions ("How do I configure Next.js middleware?")
- Requests code involving libraries ("Write a Prisma query for...")
- Needs API references ("What are the Supabase auth methods?")
- Mentions specific frameworks (React, Vue, Svelte, Express, Tailwind, etc.)
How to Fetch Documentation
Step 1: Resolve the Library ID
Call resolve-library-id with:
libraryName: The library name extracted from the user's questionquery: The user's full question (improves relevance ranking)
Step 2: Select the Best Match
From the resolution results, choose based on:
- Exact or closest name match to what the user asked for
- Higher benchmark scores indicate better documentation quality
- If the user mentioned a version (e.g., "React 19"), prefer version-specific IDs
Step 3: Fetch the Documentation
Call query-docs with:
libraryId: The selected Context7 library ID (e.g.,/vercel/next.js)query: The user's specific question
Step 4: Use the Documentation
Incorporate the fetched documentation into your response:
- Answer the user's question using current, accurate information
- Include relevant code examples from the docs
- Cite the library version when relevant
Guidelines
- Be specific: Pass the user's full question as the query for better results
- Version awareness: When users mention versions ("Next.js 15", "React 19"), use version-specific library IDs if available from the resolution step
- Prefer official sources: When multiple matches exist, prefer official/primary packages over community forks
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.
- 1mo ago First seen · 54 lines · 58 tokens per session scan A 6f07fd4d6cbf
context7-mcp is a skill published in the GitHub repository myths-labs/muse (37 stars, last pushed 4d ago), licensed MIT. It adds 58 tokens to every session and 452 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to documentation-lookup, differing in 2 lines, and is treated as a copy.
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