by possibilities · AI Tool · ★ 54
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 | 54 |
| Forks | 5 |
| Language | TypeScript |
| Category | AI Tool |
| Quality Score | 54/100 |
| Last Updated | 2025-08-12 |
| Created | 2025-07-03 |
| Platforms | claude-code, node |
| Est. Tokens | ~5k |
Claude Generic Hooks Commands store Stores hook metadata in an SQLite database yolo Autoapproves everything except for accepting a plan. Similar to but works in plan mode. Example configurations Store command - Log all hook events to a database: json { "hooks": { "PreToolUse": [ { "matcher": ".", "hooks": [ { "type": "command", "command": "npx claude-code-generic-hooks store /.claude/hooks.db" }...
Looking for a claude-code-generic-hooks alternative? If you're comparing claude-code-generic-hooks with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights
Skill to talk to Claude about your projects over the phone
.NET MAUI skills for GitHub Copilot and Claude Code
Explore other popular ai tool tools:
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: