by bobek-balinek · AI Tool · ★ 296
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. 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 | 296 |
| Forks | 25 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 4 |
| Last Updated | 2026-02-16 |
| Created | 2026-02-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~2k |
Claude Lamp Control your Moonside LED lamp via BLE based on Claude Code's state. Your lamp becomes a physical status indicator — animated themes while Claude works, green when idle, purple when it needs your input. WARNING Author takes no responsibility for the hardware issues that may arise from using this script. You run these scripts at your own risk.
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Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
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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: