by narnia-sh · Agent Tool · ★ 267
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g layrrTaken 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 | 267 |
| Forks | 30 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 74/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-10 |
| Created | 2025-10-28 |
| Platforms | browser, claude-code, cli, node |
| Est. Tokens | ~3418k |
layrr Point, click, and edit any web app with AI Layrr lets you click an element in your running web app, describe the change in plain English, and send the exact source location to Claude Code, Codex CLI, or Gemini via Pi. The problem You can see the issue in the browser: the button is too wide, the copy is wrong, the spacing is off, or the component needs a quick behavior change.
These tools work well together with layrr 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: