by princezuda · Agent Tool · ★ 116
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pipx install safeclaw
pip install safeclawTaken from the project's README on GitHub.
Flagged: sudo usage. 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 | 116 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68/100 |
| Last Updated | 2026-03-25 |
| Created | 2026-02-02 |
| Platforms | python |
| Est. Tokens | ~47k |
SafeClaw 🐾 The zero-cost alternative to OpenClaw. No LLM required, though it is optional. No required API bills. Minimal attack surface. Runs on any machine. ONE HUNDRED STARS — We hit ONE HUNDRED stars on GitHub! This milestone is our biggest update since our original release. It brings: Real Research, Simple AI Setup, and Smart Learning.
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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: