by mosaxiv · Codex Skill · ★ 325
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run -v ~/.clawlet:/root/.clawlet --rm clawlet onboard
docker run -v ~/.clawlet:/root/.clawlet clawlet gatewayTaken 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 | 325 |
| Forks | 35 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 74/100 |
| Last Updated | 2026-03-24 |
| Created | 2026-02-09 |
| Platforms | go |
| Est. Tokens | ~1431k |
Clawlet Ultra-lightweight and efficient personal AI assistant Clawlet is a lightweight personal AI agent with hybrid semantic memory search — a single static binary with no runtime and no CGO. Bundled SQLite + sqlite-vec. Drop it on any machine and memory search just works. This project is inspired by OpenClaw and nanobot. Install Download from GitHub Releases.
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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: