by johnfkoo951 · Codex Skill · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/johnfkoo951/cmds-llm-wiki.git my-llm-wikiTaken from the project's README on GitHub.
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.
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 | 100 |
| Forks | 37 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 63/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-21 |
| Created | 2026-04-14 |
| Platforms | browser, claude-code, cli, codex, python |
| Est. Tokens | ~15k |
cmds-llm-wiki LLM Wiki 볼트 템플릿 — Karpathy LLM Wiki pattern + 미래의 나에게 보내는 편지 + Claude Code · Codex 듀얼 harness. Obsidian 볼트이자 Claude Code / Codex 프로젝트. 외부 소스 (기사·논문·전사) 를 LLM 이 컴파일하여 복리로 성장하는 persistent wiki 로 축적합니다.
These tools work well together with cmds-llm-wiki for enhanced workflows:
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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: