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 lewislulu · Codex Skill · ★ 644
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-wiki-skill safe to install? View the security audit →
llm-wiki An OpenClaw / Codex Agent Skill for building Karpathy-style LLM knowledge bases. Experimental skill — will iterate over time. Please send your feedbacks in github issues. Inspired by Andrej Karpathy's llm-wiki Gist and the community's work building on it. What this is Instead of RAG (re-retrieving raw docs on every query), this pattern has the LLM compile raw sources into a persistent, cross-linked Markdown wiki. Every , , , , and pass makes the wiki richer. Knowledge compounds over time. You own: sourcing raw material, asking good questions, steering direction, filing feedback on things the AI got wrong. LLM owns: all writing, cross-referencing, filing, bookkeeping, and acting on your feedback. The skill comes with two companion tools in this repo: — an Obsidian plugin: select text in any page, leave a comment with severity, the comment is written into as an anchored markdown file. — a local Node.js preview server: renders the wiki with mermaid, KaTeX, and wikilinks, lets you select + file feedback from the browser, and shows open audits per page.
| Stars | 644 |
| Forks | 104 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 68.3143240918206/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-16 |
| Created | 2026-04-05 |
| Platforms | codex, node |
| Est. Tokens | ~8k |
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llm-wiki-skill is Karpathy-style LLM knowledge base Agent Skill for OpenClaw/Codex. Experimental — will iterate over time.. It is categorized as a Codex Skill with 644 GitHub stars.
llm-wiki-skill is primarily written in TypeScript.
You can find installation instructions and usage details in the llm-wiki-skill GitHub repository at github.com/lewislulu/llm-wiki-skill. The project has 644 stars and 104 forks, indicating an active community.
The top alternatives to llm-wiki-skill on Agent Skills Hub include Claude-to-IM-skill, skillshare, pi-skills. 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: