by SebastianElvis · Codex Skill · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
brew install --cask clawpierTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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 | 70 |
| Forks | 13 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 72/100 |
| Open Issues | 16 |
| Last Updated | 2026-04-10 |
| Created | 2026-03-13 |
| Platforms | docker, node |
| Est. Tokens | ~490k |
ClawPier AI agents have OS-level access to your machine. ClawPier runs them in a sandbox. A native desktop app for managing OpenClaw and Hermes AI agent instances inside Docker containers — sandboxed from your host by default. Available on macOS, Linux, and Windows.
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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: