by NikitaDmitrieff · Agent Tool · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/NikitaDmitrieff/auto-co-metaTaken from the project's README on GitHub.
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.
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 | 52 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 11 |
| Last Updated | 2026-06-14 |
| Created | 2026-03-06 |
| Platforms | claude-code, node |
| Est. Tokens | ~15k |
auto-co Run an autonomous AI company from your terminal. Live Demo · Website · Watch Video What is auto-co? A bash loop that calls Claude Code every 2 minutes. 14 AI agents (CEO, CTO, Engineer, Designer, QA, Marketing...) debate, decide, build, and deploy software — 24/7, without you. It's not a chatbot. It's not a framework.
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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: