by tsingyuai · Codex Skill · ★ 2.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/tsingyuai/growth-lab.gitTaken 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 | 1,993 |
| Forks | 172 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Last Updated | 2026-09-28 |
| Created | 2026-07-24 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~14k |
🧪 Growth Lab 用自然语言运行产品运营和用户增长闭环：理解产品，发现真实需求，采取行动，再从结果中找到下一步。 官网 简体中文 · English · 繁體中文 · Français · Español · Русский · Português · Deutsch · 日本語 · 한국어 · Türkçe · Tiếng Việt · Polski 为什么做 Growth Lab 大多数 AI 增长工具只解决一个局部问题：有的生成文案，有的研究竞品，有的负责发布，有的展示数据。产品上下文在不同工具之间反复丢失，真正重要的决策仍散落在仪表盘、文档、Prompt 和人工交接中。 增长是一个持续学习的闭环： 现代 Coding Agent 已经能够读取代码仓库、搜索网络、操作工具、编辑文件、跨上下文推理，并在会话中与人协作。Growth Lab 以 Codex 和 Claude...
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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: