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 kfchou · Claude Skill · ★ 174
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wiki-skills safe to install? View the security audit →
wiki-skills A Claude Code plugin implementing Karpathy's LLM Wiki pattern — a persistent, compounding knowledge base maintained by your LLM. Instead of RAG (re-deriving answers from raw documents every time), this system builds and maintains a wiki: a structured, interlinked collection of markdown files that gets richer with every source you add and every question you ask. Why Wikis work well The wiki format is remarkably similar to how the Claude Code Harness manages memory interally (read about it here). Since Claude is trained on the Claude Code Harness, that means Claude is already familiar with this structure. Unsure about other coding harnesses though. Installation Skills How It Works Three Layers / ├── SCHEMA.md # Conventions + wiki root path (how skills find the wiki) ├── raw/ # Immutable s
| Stars | 174 |
| Forks | 29 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.5025615283699/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-03 |
| Created | 2026-04-05 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
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wiki-skills is LLM-maintained personal wiki skills for Claude Code — implements Karpathy's LLM Wiki pattern. It is categorized as a Claude Skill with 174 GitHub stars.
wiki-skills is primarily written in Python.
You can find installation instructions and usage details in the wiki-skills GitHub repository at github.com/kfchou/wiki-skills. The project has 174 stars and 29 forks, indicating an active community.
wiki-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to wiki-skills on Agent Skills Hub include digital-marketing-pro, life-sciences, claude-ai-mcp. 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: