by qhkm · Agent Tool · ★ 651
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brew install qhkm/tap/zeptoclaw
docker pull ghcr.io/qhkm/zeptoclaw:latestTaken from the project's README on GitHub. Check the security audit before running it.
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. 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 | 651 |
| Forks | 97 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 73/100 |
| Open Issues | 60 |
| Last Updated | 2026-09-28 |
| Created | 2026-02-12 |
| Platforms | rust |
| Est. Tokens | ~2335k |
ZeptoClaw Fast, small, secure, and local-first personal AI assistant infrastructure. ZeptoClaw is one Rust binary for running personal AI agents locally, at the edge, or on a VPS — with tools, memory, channels, providers, and sandboxed autonomy built in. We studied th
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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: