by LearnPrompt · Codex Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx skills add LearnPrompt/carl-skills --skill skill-slimming -g
git clone https://github.com/LearnPrompt/carl-skills.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 | 69 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-09-09 |
| Created | 2026-05-16 |
| Platforms | python |
| Est. Tokens | ~19k |
🦞 Carl Skills 我自己真实跑通、反复用过的AI工作流，都收在这里 我每天会试AI工具，也会把它们塞进真实工作里，选题、写稿、做评测、整理资料、改PPT、发文章、维护Obsidian，让Hermes/Codex/OpenClaw这类Agent真的帮上忙。 很多东西不是想出来的，是一遍遍跑出来的。 所以这个仓库只做一件事：把那些已经跑顺的AI工作流，整理成下次还能交给Agent继续用的skill。 Skills，Agent能直接加载的结构化工作流，安装后可以在Claude Code、Codex、OpenCode、OpenClaw、Hermes里复用 Registry，给Agent和脚本读的机器目录，记录每个skill从哪个canonical repo安装 Catalog，给人看的入口，告诉你每个skill适合干什么、不适合干什么 📋 目录
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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: