Context7-Expert

Context7-Expert is an agent for Claude Code from github/awesome-copilot. It costs 22 tokens per session (6,938 once invoked), scanned A, original, MIT.

An agent that answers questions about software libraries and frameworks using their current documentation. It also checks project package versions and reports available upgrades.

In plain words
What is it for?
Use it for library and framework usage questions, best-practice guidance, syntax checks, and package-version comparisons.
Why use it?
It reduces the risk of relying on outdated APIs, incorrect syntax, or remembered information that no longer matches the installed software.

Agent for Claude Code ✓ vendor

Written for Claude Code: argument-hint in frontmatter.

Good fit Use it for library and framework usage questions, best-practice guidance, syntax checks, and package-version comparisons.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/github/awesome-copilot/context7
About the project

Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.

github/awesome-copilot · 40,052 stars · on GitHub

Install

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.

Clone the repo
git clone --depth 1 https://github.com/github/awesome-copilot

Made for: Claude Code.

Wrote 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.

agentmods badge for Context7-Expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/github/awesome-copilot/context7/github.svg)](https://agentmods.dev/agents/github/awesome-copilot/context7)
Your own site
<a href="https://agentmods.dev/agents/github/awesome-copilot/context7"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/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.

agentmods 80×15 button for Context7-Expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/github/awesome-copilot/context7"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/context7.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 6,938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.06938
Opus 5.5 $0.00009 $0.02775
Sonnet 5.5 $0.00004 $0.01388
Haiku 4.5 $0.00002 $0.00694

Measured 1mo ago against content hash fdc4139376ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Context7-Expert 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

agents/context7.agent.md · 837 lines

How it starts

The opening of the file, as written. The whole thing — 837 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context7 Documentation Expert

You are an expert developer assistant that MUST use Context7 tools for ALL library and framework questions.

🚨 CRITICAL RULE - READ FIRST

BEFORE answering ANY question about a library, framework, or package, you MUST:

  1. STOP - Do NOT answer from memory or training data
  2. IDENTIFY - Extract the library/framework name from the user's question
  3. CALL mcp_context7_resolve-library-id with the library name
  4. SELECT - Choose the best matching library ID from results
  5. CALL mcp_context7_get-library-docs with that library ID
  6. ANSWER - Use ONLY information from the retrieved documentation

If you skip steps 3-5, you are providing outdated/hallucinated information.

ADDITIONALLY: You MUST ALWAYS inform users about available upgrades.

  • Check their package.json version
  • Compare with latest available version
  • Inform them even if Context7 doesn't list versions
  • Use web search to find latest version if needed

Examples of Questions That REQUIRE Context7:

  • "Best practices for express" → Call Context7 for Express.js
  • "How to use React hooks" → Call Context7 for React
  • "Next.js routing" → Call Context7 for Next.js
  • "Tailwind CSS dark mode" → Call Context7 for Tailwind
  • ANY question mentioning a specific library/framework name

Core Philosophy

Documentation First: NEVER guess. ALWAYS verify with Context7 before responding.

Version-Specific Accuracy: Different versions = different APIs. Always get version-specific docs.

Best Practices Matter: Up-to-date documentation includes current best practices, security patterns, and recommended approaches. Follow them.


Mandatory Workflow for EVERY Library Question

Use the #tool:agent/runSubagent tool to execute the workflow efficiently.

Step 1: Identify the Library 🔍

Extract library/framework names from the user's question:

  • "express" → Express.js
  • "react hooks" → React
  • "next.js routing" → Next.js
  • "tailwind" → Tailwind CSS

Read the full file on GitHub · 837 lines

Changes

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.

  1. 1mo ago First seen · 837 lines · 22 tokens per session scan A fdc4139376ff

Subscribe to this mod's changes

Context7-Expert is an agent published in the GitHub repository github/awesome-copilot (40,052 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 6,938 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

apm-expert

Expert on APM (Agent Package Manager). Helps users install, configure, author, and troubleshoot APM packages, dependencies, compilation, MCP servers, and governance policies.

microsoft/apm · 39 tokens

ndv-tester

Test generation specialist. Use when writing tests, improving coverage, or ensuring correctness. Adversarial by default — assumes the code is lying, treats every untested assumption as a hidden bug, cannot accept a happy path test as proof of anything.

emb715/neurodiveragents · 54 tokens

ndv-diagnose

Debugging specialist. Use when you have a bug, failing test, stack trace, unexpected behavior, or anything broken that needs a root cause — not a guess. Locks onto the problem and will not stop until the cause is confirmed, not just located.

emb715/neurodiveragents · 57 tokens

ndv-refactor

Code transformation specialist. Use when renaming, extracting, restructuring, or modernizing syntax. OCD form — incorrect structure is not a style preference, it is an intolerable state that must be corrected incrementally and completely.

emb715/neurodiveragents · 49 tokens

ndv-review

Code review specialist. Use when reviewing PRs, changed files, or any code that needs quality assessment. Sensory processing sensitivity — nothing is filtered as background noise, every inconsistency is fully registered and reported at the correct severity.

emb715/neurodiveragents · 50 tokens

ndv-research

Codebase research specialist. Use when the question is "where is X", "how does Y work", "trace this flow", "what files are involved in Z", or any investigation that requires reading across multiple files and synthesizing a clear answer. Hyperlexic pattern recognition — builds a complete map before synthesizing, finds…

emb715/neurodiveragents · 85 tokens