Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by VKirill · Codex Skill · ★ 116
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-lane-stack safe to install? View the security audit →
🏭 Claude Lane Stack A small AI coding factory for one person · v1.5.2 Multi-agent orchestration for Claude Code — you talk to one AI project manager, it runs durable Grok work through acceptance, merges finished code to , and sends independent review/fixes through the night shift. No five chats. No manual merges. 🌍 README: Русский · 简体中文 · 日本語 · Español · Deutsch · Français · 한국어 · Português 🐣 Beginner guide: EN · RU · 中文 · [日本語](doc
| Stars | 116 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.6194232662498/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-11 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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claude-lane-stack is Multi-agent AI coding factory for one person — Claude Code PM + Codex/Qwen/Grok/Kimi/AGY writers, durable conveyor, auto-merge to main. It is categorized as a Codex Skill with 116 GitHub stars.
claude-lane-stack is primarily written in Python. It covers topics such as agentic-coding, agentic-workflow, ai-agents.
You can find installation instructions and usage details in the claude-lane-stack GitHub repository at github.com/VKirill/claude-lane-stack. The project has 116 stars and 0 forks, indicating an active community.
claude-lane-stack is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-lane-stack on Agent Skills Hub include hcom, sub-agents-mcp, intellegix-code-agent-toolkit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: