by clawfleet · Codex Skill · ★ 176
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 | 176 |
| Forks | 13 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 13 |
| Last Updated | 2026-04-27 |
| Created | 2026-03-07 |
| Platforms | browser, docker, go |
| Est. Tokens | ~543k |
ClawFleet 🌐 Website: clawfleet.io · 💬 Community: Discord · 📝 Blog: Dev.to Run a fleet of AI agents on your laptop in 5 minutes — OpenClaw and Hermes in isolated containers, managed from one browser dashboard. Use your ChatGPT subscription, no cloud bills. 中文文档 Imagine buying N dedicated Mac Minis, each running its own AI agent — some OpenClaw, some Hermes, all collaborating in Discord.
These tools work well together with ClawFleet 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: