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 openclaw · Codex Skill · ★ 9.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawhub safe to install? View the security audit →
ClawHub ClawHub is the public skill registry for OpenClaw: publish, version, and search text-based agent skills (a plus supporting files). It's designed for fast browsing + a CLI-friendly API, with moderation hooks and vector search. It also exposes a native OpenClaw package catalog for code plugins, bundle plugins, and experimental whole-agent Claw packages. ClawHub · Vision · Docs · Contributing · Discord What you can do with it Browse skills + render their . Publish new skill versions with changelogs + tags (including ). -
| Stars | 9,434 |
| Forks | 1,480 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.3081744959734/100 |
| Open Issues | 77 |
| Last Updated | 2026-09-19 |
| Created | 2026-01-03 |
| Platforms | node |
| Est. Tokens | ~16k |
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clawhub is Skill + Plugin Registry for OpenClaw. It is categorized as a Codex Skill with 9.4k GitHub stars.
clawhub is primarily written in TypeScript. It covers topics such as directory, skill.
You can find installation instructions and usage details in the clawhub GitHub repository at github.com/openclaw/clawhub. The project has 9.4k stars and 1480 forks, indicating an active community.
clawhub is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to clawhub on Agent Skills Hub include AI-Infra-Guard, ouroboros, openpencil. 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: