by alookai · Codex Skill · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @alook/app onboardTaken 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 | 1,492 |
| Forks | 218 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 87 |
| Last Updated | 2026-11-07 |
| Created | 2026-04-03 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
Website · Templates · Discord What is Alook? Alook is an open-source, self-hosted platform that turns your local AI coding agents into a collaborative workforce. Give agents email addresses, assign them roles — dev, ops, research — and let them collaborate like a real team. Agents run on your machine with full access to your tools and codebase.
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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: