karpathy-wiki: Claude Code skills for building persistent, compounding knowledge bases

by toolboxmd · Claude Skill · ★ 105

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install karpathy-wiki

git clone https://github.com/toolboxmd/karpathy-wiki ~/dev/karpathy-wiki

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

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.

Quick Facts

Stars105
Forks26
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score67/100
Last Updated2026-10-18
Created2026-04-04
Platformsclaude-code, cli
Est. Tokens~13k

About karpathy-wiki

Karpathy Wiki A Claude Code skill for auto-maintained LLM wikis — based on Andrej Karpathy's LLM Wiki pattern. Instead of re-deriving answers from raw documents every time (RAG), the LLM incrementally builds and maintains a wiki — a structured, interlinked collection of markdown files. The wiki compounds with every source you add and every question you ask.

karpathy-wiki alternative? Top 1 similar tools

Looking for a karpathy-wiki alternative? If you're comparing karpathy-wiki with other claude skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

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:

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