Borrowing it
Nothing to install: this file belongs to compozy/skeeper. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/compozy/skeeper/main/.agents/skills/context7/SKILL.mdgit clone --depth 1 https://github.com/compozy/skeeperWrote 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/compozy/skeeper/context7)<a href="https://agentmods.dev/skills/compozy/skeeper/context7"><img src="https://agentmods.dev/badge/skills/compozy/skeeper/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/compozy/skeeper/context7"><img src="https://agentmods.dev/badge/skills/compozy/skeeper/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 | $0.00158 | $0.01378 |
| Opus 5.5 | $0.00063 | $0.00551 |
| Sonnet 5.5 | $0.00032 | $0.00276 |
| Haiku 4.5 | $0.00016 | $0.00138 |
Grade A, and why
context7 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
100% identical to context7 — 0 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Lookup
Retrieve current documentation and code examples for any library using the Context7 CLI.
Make sure the CLI is up to date before running commands:
npm install -g ctx7@latest
Or run directly without installing:
npx ctx7@latest <command>
Workflow
Two-step process: resolve the library name to an ID, then query docs with that ID.
# Step 1: Resolve library ID
ctx7 library <name> <query>
# Step 2: Query documentation
ctx7 docs <libraryId> <query>
You MUST call ctx7 library first to obtain a valid library ID UNLESS the user explicitly provides a library ID in the format /org/project or /org/project/version.
IMPORTANT: Do not run these commands more than 3 times per question. If you cannot find what you need after 3 attempts, use the best result you have.
Step 1: Resolve a Library
Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.
ctx7 library react "How to clean up useEffect with async operations"
ctx7 library nextjs "How to set up app router with middleware"
ctx7 library prisma "How to define one-to-many relations with cascade delete"
Always pass a query argument — it is required and directly affects result ranking. Use the user's intent to form the query, which helps disambiguate when multiple libraries share a similar name. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.
Result fields
Each result includes:
- Library ID — Context7-compatible identifier (format:
/org/project) - Name — Library or package name
- Description — Short summary
- Code Snippets — Number of available code examples
- Source Reputation — Authority indicator (High, Medium, Low, or Unknown)
- Benchmark Score — Quality indicator (100 is the highest score)
- Versions — List of versions if available. Use one of those versions if the user provides a version in their query. The format is
/org/project/version.
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 · 161 lines · 158 tokens per session scan A 355ab3da666c
context7 is a skill published in the GitHub repository compozy/skeeper (89 stars, last pushed 4mo ago), licensed MIT. It adds 158 tokens to every session and 1,378 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to context7, differing in 0 lines, and is treated as a copy.
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