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context7-skill

Skill Documents & Content Poor
Works inClaude Code
Poor Scanned — metadata only

Reduces latency and token waste by enabling AI coding agents to fetch documentation on-demand without bulky context protocol overhead, improving cost-per-que…

Context7 documentation lookup skill for AI coding agents. Lightweight REST API wrapper with no MCP context overhead.

82 starsFreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Reduces latency and token waste by enabling AI coding agents to fetch documentation on-demand without bulky context protocol overhead, improving cost-per-query and response speed for large codebases.

Development teams integrating AI agents into documentation-heavy workflows requiring fast, targeted lookups without infrastructure bloat.

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https://github.com/netresearch/context7-skill

By netresearch

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install netresearch/context7-skill

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Fetch API endpoint documentation while writing integration code
CostFree

Trust Signals Auto-scanned

Stars82Contributors4Last updated2026-10-30Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-30 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 75 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 75 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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