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 sstklen · Claude Skill · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is yes.md safe to install? View the security audit →
中文版 · 日本語版 YES.md PUA says NO. YES says YES. A Claude Code skill that makes AI safe, evidence-based, and thorough — with encouragement, not pressure. 別 PUA 你的 AI，YES 它。 🌐 English 日本語 Why Your CLAUDE.md Doesn't Work Your CLAUDE.md has one layer. AI reads it, then chooses whether to follow it. YES.md has six layers. AI has to get past all six to cut corners. Layer 3 is the key. Everything else re
| Stars | 50 |
| Forks | 6 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65.3065392648644/100 |
| Open Issues | 13 |
| Last Updated | 2026-05-18 |
| Created | 2026-03-11 |
| Platforms | claude-code, cli |
| Est. Tokens | ~2k |
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yes.md is ✅ AI governance skill for Claude Code | AI 治理框架 | AI ガバナンスフレームワーク — Safety gates, evidence rules, anti-slack. It is categorized as a Claude Skill with 50 GitHub stars.
yes.md is primarily written in Shell.
You can find installation instructions and usage details in the yes.md GitHub repository at github.com/sstklen/yes.md. The project has 50 stars and 6 forks, indicating an active community.
yes.md is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to yes.md on Agent Skills Hub include skyll. 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: