by sk-ruban · Claude Skill · ★ 1.0k
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 | 1,037 |
| Forks | 79 |
| Language | Swift |
| Category | Claude Skill |
| License | GPL-3.0 |
| Quality Score | 67/100 |
| Open Issues | 16 |
| Last Updated | 2026-10-04 |
| Created | 2026-01-30 |
| Platforms | claude-code, codex |
| Est. Tokens | ~15k |
Notchi A macOS notch companion that reacts to Claude Code and Codex activity in real-time. https://github.com/user-attachments/assets/e417bd40-cae8-47c0-998a-905166cf3513 What it does Reacts to Claude Code and Codex events in real-time (thinking, working, permission requests, compaction, errors, completions) Analyzes prompt sentiment via Anthropic or OpenAI APIs to show emotions (happy, elated,...
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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: