No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ComposioHQ · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-claude-plugins safe to install? View the security audit →
Awesome Claude Code Plugins A curated list of production-ready plugins for Claude Code to supercharge your development workflow. Want plugins that do mor
| Stars | 1,587 |
| Forks | 357 |
| Language | JavaScript |
| Category | MCP Server |
| Quality Score | 67.6261439053145/100 |
| Open Issues | 140 |
| Last Updated | 2026-05-01 |
| Created | 2025-10-22 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~127k |
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awesome-claude-plugins is A curated list of Plugins that let you extend Claude Code with custom commands, agents, hooks, and MCP servers through the plugin system.. It is categorized as a MCP Server with 1.6k GitHub stars.
awesome-claude-plugins is primarily written in JavaScript. It covers topics such as anthropic, claude-ai, claude-code.
You can find installation instructions and usage details in the awesome-claude-plugins GitHub repository at github.com/ComposioHQ/awesome-claude-plugins. The project has 1.6k stars and 357 forks, indicating an active community.
The top alternatives to awesome-claude-plugins on Agent Skills Hub include awesome-claude-plugins, claude-ai-music-skills, adversarial-spec. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: