by tsaijamey · Agent Tool · ★ 113
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 113 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 8 |
| Last Updated | 2026-11-06 |
| Created | 2025-11-15 |
| Platforms | browser, claude-code, cli, python |
| Est. Tokens | ~14k |
frago An operating system for AI agents — frago runs AI agents on your computer so you don't have to do repetitive work yourself. frago is not affiliated with OpenClaw. frago predates OpenClaw by approximately one month. 简体中文 Why frago Easy to install, easy to set up. The desktop app is 2MB. After download, it automatically checks and installs everything it needs.
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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: