awesome-claude-plugins: A curated list of Plugins that let you extend Claude Code with custom commands, agents, hooks, and MCP servers

by composio-community · MCP Server · ★ 2.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install awesome-claude-plugins

git clone https://github.com/composiohq/awesome-claude-plugins.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars1,979
Forks740
LanguageJavaScript
CategoryMCP Server
Quality Score68/100
Open Issues515
Last Updated2026-11-05
Created2025-10-22
Platformsclaude-code, mcp, node
Est. Tokens~16k

About awesome-claude-plugins

Awesome Claude Code Plugins A curated list of production-ready plugins for Claude Code to supercharge your development workflow. Want plugins that

Compatible Skills

These tools work well together with awesome-claude-plugins for enhanced workflows:

  • awesome-claude-plugins — semantic(0.64)+complementary+rare_topics+similar_pop+shared_platform (67%)
  • claude-ai-music-skills — semantic(0.49)+complementary+rare_topics+similar_pop+shared_platform (66%)
  • wozcode-plugin — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (65%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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