by alirezarezvani · Claude Skill · ★ 29.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Code Skills
git clone https://github.com/alirezarezvani/claude-skills.git
/plugin marketplace add alirezarezvani/claude-skillsTaken from the project's README on GitHub. Check the security audit before running it.
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.
One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).
Result: Nearly half the skill files are copies of the same skill packaged for other agents or plugins. · 443 distinct skills · 98% meet the format · installed whole, most skills are listed by name only
| Stars | 29,313 |
| Forks | 4,071 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71/100 |
| Last Updated | 2026-11-05 |
| Created | 2025-10-19 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~16k |
Claude Code Skills & Plugins 172 production-ready skills and plugins for Claude Code, OpenAI Codex, Gemini CLI, and OpenClaw — reusable expertise bundles that transform AI coding agents into specialized professionals across engineering, product, marketing, compliance, and more. ⭐ 2,500+ GitHub stars — the most comprehensive open-source skill library for AI coding agents.
These tools work well together with claude-skills for enhanced workflows:
Looking for a claude-skills alternative? If you're comparing claude-skills with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: