No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by jiabaobei · Agent Tool · ★ 227
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is skills-constitution safe to install? View the security audit →
Skills Constitution Skills 宪法 —— 凌驾于全部技能/工具之上的元规则，强制 Agent 先查后用、有匹配必用、无匹配必搜。跨平台通用（WorkBuddy / Claude / ChatGPT / Cursor / Gemini / ...） 🚀 快速开始 一键注入（任何平台） 把下面这段复制到你的 Agent 的规则/指令/记忆层中： WorkBuddy / CodeBuddy Claude Code Cursor / Windsurf / Cline bash
| Stars | 227 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.1910666648274/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-07 |
| Platforms | python |
| Est. Tokens | ~16k |
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skills-constitution is Skills Constitution — meta-rule governing all skill invocations across agent platforms. It is categorized as a Agent Tool with 227 GitHub stars.
skills-constitution is primarily written in Python. It covers topics such as agent-framework, agent-memory, agent-orchestration.
You can find installation instructions and usage details in the skills-constitution GitHub repository at github.com/jiabaobei/skills-constitution. The project has 227 stars and 8 forks, indicating an active community.
skills-constitution is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to skills-constitution on Agent Skills Hub include swarmclaw, agents, awesome-azure-openai-llm. 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: