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 gmh5225 · Codex Skill · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-skills safe to install? View the security audit →
A curated list of Agent Skills, resources, and tools for AI coding agents like Claude Code, Codex, Gemini CLI, GitHub Copilot, and more. Show respect to all the projects below, perfect works of art :salutingface: How to contribute? https://github.com/HyunCafe/contribute-practice https://docs.github.com/en/get-started/quickstart/contributing-to-projects What Are Agent Skills? Agent Skills are instruction files that teach AI assistants how to perform specific tasks. They are specialized folders containing instructions, scripts, and resources that AI agents dynamically discover and load when relevant to tasks. Skills employ a progressive disclosure architecture for efficiency: Metadata loading (100 tokens): AI scans available Skills to identify relevant matches Full instructions (<5k tokens): Load when AI determines the Skill applies Bundled resources: Files and executable code load only as needed Skill Structure Basic SKILL.md Template markdown name: my-skill-na
| Stars | 51 |
| Forks | 59 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.1376705172316/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-02 |
| Created | 2026-01-20 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~28k |
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awesome-skills is A curated list of Agent Skills, resources, and tools for AI coding agents like Claude Code, Codex, Gemini CLI, GitHub Copilot, and more.. It is categorized as a Codex Skill with 51 GitHub stars.
You can find installation instructions and usage details in the awesome-skills GitHub repository at github.com/gmh5225/awesome-skills. The project has 51 stars and 59 forks, indicating an active community.
awesome-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-skills on Agent Skills Hub include awesome-openclaw, skyll, google-analytics-mcp. 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: