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 MehmetGoekce · Claude Skill · ★ 146
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-wiki safe to install? View the security audit →
llm-wiki Build Karpathy's LLM Wiki with Claude Code. Two-layer cache architecture (L1/L2). Supports Logseq and Obsidian. What is this? ![Wiki grap
| Stars | 146 |
| Forks | 22 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.2075632440197/100 |
| Last Updated | 2026-09-16 |
| Created | 2026-04-08 |
| Platforms | claude-code, cli |
| Est. Tokens | ~14k |
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llm-wiki is Build Karpathy's LLM Wiki with Claude Code. L1/L2 cache architecture. Logseq + Obsidian support.. It is categorized as a Claude Skill with 146 GitHub stars.
llm-wiki is primarily written in Shell. It covers topics such as ai, claude-code, developer-tools.
You can find installation instructions and usage details in the llm-wiki GitHub repository at github.com/MehmetGoekce/llm-wiki. The project has 146 stars and 22 forks, indicating an active community.
llm-wiki is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-wiki on Agent Skills Hub include llm-wiki, swarmvault, ctx. 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: