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 ComeOnOliver · Agent Tool · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skillshub safe to install? View the security audit →
🧠 SkillsHub — The Right Skill, One API Call English | 中文 The open registry for AI agent skills. Describe your task → get the best-fit skill instantly. 🔗 skillshub.wtf — 10,000+ skills from 230+ repos (Microsoft, OpenAI, Trail of Bits, HashiCorp, Sentry, and more) Contributors Thanks to everyone who helps make SkillsHub better! 🙌 ComeOnOliver anmolxlight <img src="https:
| Stars | 59 |
| Forks | 20 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 54.2963281311495/100 |
| Open Issues | 37 |
| Last Updated | 2026-06-24 |
| Created | 2026-03-16 |
| Platforms | python |
| Est. Tokens | ~13k |
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skillshub is 🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.. It is categorized as a Agent Tool with 59 GitHub stars.
skillshub is primarily written in Python. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the skillshub GitHub repository at github.com/ComeOnOliver/skillshub. The project has 59 stars and 20 forks, indicating an active community.
skillshub is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skillshub on Agent Skills Hub include claudepro-directory, meridian, claude-code-open. 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: