by nicepkg · Agent Tool · ★ 190
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/nicepkg/auto-company.gitTaken 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 | 190 |
| Forks | 60 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 64/100 |
| Open Issues | 6 |
| Last Updated | 2026-02-12 |
| Created | 2026-02-11 |
| Platforms | claude-code, python |
| Est. Tokens | ~43k |
Auto Company 全自主 AI 公司，24/7 不停歇运行 14 个 AI Agent，每个都是该领域世界顶级专家的思维分身。 自主构思产品、做决策、写代码、部署上线、搞营销。没有人类参与。 基于 Claude Code Agent Teams 驱动。 ⚠️ 实验项目 — 还在测试中，能跑但不一定稳定。目前仅支持 macOS。 这是什么？ 你启动一个循环。AI 团队醒来，读取共识记忆，决定干什么，组建 3-5 人小队，执行任务，更新共识记忆，然后睡一觉。接着又醒来。如此往复，永不停歇。 每个周期是一次独立的 调用。 是唯一的跨周期状态——类似接力赛传棒。 团队阵容（14 人） 不是"你是一个开发者"，而是"你是 DHH"——用真实传奇人物激活 LLM 的深层知识。 Matías Duar
Looking for a auto-company alternative? If you're comparing auto-company with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Autonomous AI Company OS — 14 AI agents loop 24/7, ship real software
Business operating system for Claude Code — 57 skills, 21 agents, smart daemon. Unified inbox (WhatsApp/Email/
Multi-agent autonomous framework — let your AI work while you sleep 🌙
🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace
Automated loop driver, slash commands, council automation, MCP browser bridge, and portfolio governance for Cl
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP
Explore other popular agent 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: