claude-plugins-official: Official, Anthropic-managed directory of high quality Claude Code Plugins

by anthropics · Claude Skill · ★ 46.3k

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

Featured in: Claude Code Skills

Security audit verdict: SAFE · quality 64/100

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.

🧪 Tested by Agent Skills Hub

One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).

Result: 29 distinct skills · 100% meet the format · installed whole, every skill keeps its description

See the count → · See the whole test →

claude-codemcpskills

Quick Facts

Stars46,339
Forks4,821
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score64/100
Open Issues1272
Last Updated2026-11-07
Created2025-11-20
Platformsclaude-code, mcp, python
Est. Tokens~13k

About claude-plugins-official

Claude Code Plugins Directory A curated directory of high-quality plugins for Claude Code. ⚠️ Important: Make sure you trust a plugin before installing, updating, or using it. Anthropic does not control what MCP servers, files, or other software are included in plugins and cannot verify that they will work as intended or that they won't change. See each plugin's homepage for more information.

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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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