by Goldziher · MCP Server · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx ai-rulez@latest init && npx ai-rulez@latest generate
brew install goldziher/tap/ai-rulezTaken 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 | 163 |
| Forks | 17 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-21 |
| Created | 2025-06-24 |
| Platforms | claude-code, cli, go, mcp |
| Est. Tokens | ~17k |
ai-rulez A complete development workflow for AI coding tools Documentation · Quick Start · Examples The Problem Every AI coding tool wants its own config: Claude needs , Cursor wants , Copilot expects . Each has different formats, frontmatter, and directory conventions
These tools work well together with ai-rulez for enhanced workflows:
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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: