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 sdyckjq-lab · AI Tool · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-wiki-skill safe to install? View the security audit →
English | 中文 llm-wiki 基于 Andrej Karpathy 的 llm-wiki 方法论 更适合国内宝宝体质的 K 神知识库 把碎片化的信息变成持续积累、互相链接的知识库 [] 效果预览 东方编辑部 × 数字山水风交互式知识图谱 — 双击 HTML 文件即可在浏览器中探索。搜索、社区图例、聚焦筛选、节点视觉分层、悬停预览、点击阅读、Shift 多选、画布缩放拖拽和小地图定位，全部离线运行，不依赖服务器。 30 秒上手 把仓库链接扔给你正在用的 agent，让它自己完成安装。 然后说： "帮我初始化一个知识库" "帮我消化这篇：" 核心区别：知识被编译一次，持续维护，而不是每次查询都从原始文档重新推导。 核心亮点 一句话创建完整知识库，自动生成目录结构、模
| Stars | 2,521 |
| Forks | 297 |
| Language | TypeScript |
| Category | AI Tool |
| Quality Score | 56.1079829699509/100 |
| Open Issues | 29 |
| Last Updated | 2026-07-27 |
| Created | 2026-04-05 |
| Platforms | node |
| Est. Tokens | ~15k |
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llm-wiki-skill is 基于 Karpathy llm-wiki 方法论的个人知识库构建 Skill，支持多平台！. It is categorized as a AI Tool with 2.5k 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/sdyckjq-lab/llm-wiki-skill. The project has 2.5k stars and 297 forks, indicating an active community.
The top alternatives to llm-wiki-skill on Agent Skills Hub include claude-code-infrastructure-showcase, vision-agent, axton-obsidian-visual-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: