by Astro-Han · Codex Skill · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Astro-Han/pawwork.gitTaken from the project's README on GitHub.
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.
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.
| Stars | 204 |
| Forks | 24 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 10 |
| Last Updated | 2026-10-31 |
| Created | 2026-04-14 |
| Platforms | browser, claude-code, codex, node |
| Est. Tokens | ~15k |
PawWork PawWork is a free, open-source desktop AI agent for macOS and Windows that handles documents, spreadsheets, research, writing, code, and local file tasks using 75+ AI model providers. Open-source alternative to Codex App and Claude Cowork. Bring your own key. Works with any model — including ChatGPT OAuth.
These tools work well together with pawwork for enhanced workflows:
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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: