llm-wiki-skills — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

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 vanillaflava · Claude Skill · ★ 67

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

🔒 Is llm-wiki-skills safe to install? View the security audit →

Featured in: Personal Knowledge Skills

About llm-wiki-skills

llm-wiki-skills Six agent skills for building and maintaining a personal knowledge wiki using Markdown files, wikilinks, and filesystem access. Developed on Claude with GUI install support; works on Claude Code, Gemini CLI, Codex CLI, and GitHub Copilot. What this is A set of agent skills for incrementally building and maintaining a structured, interlinked knowledge base on your local filesystem. You add sources; the agent reads, synthesises, and files them into wiki pages. You ask questions; the agent reads the wiki and answers with ci

agent-skillsclaudeclaude-aikarpathyknowledge-basellm-wikimarkdownno-codeobsidianobsidian-vault

Quick Facts

Stars67
Forks9
CategoryClaude Skill
LicenseMIT
Quality Score57.4725689996086/100
Last Updated2026-07-11
Created2026-04-13
Platformsclaude-code
Est. Tokens~23k

Compatible Skills

These tools work well together with llm-wiki-skills for enhanced workflows:

  • llm-wiki-plugin — semantic(0.47)+complementary+rare_topics+similar_pop+shared_platform (65%)
  • swarmvault — semantic(0.44)+complementary+rare_topics+shared_platform (59%)

llm-wiki-skills alternative? Top 6 similar tools

Looking for a llm-wiki-skills alternative? If you're comparing llm-wiki-skills with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • llm-wiki-plugin by praneybehl · ⭐ 102

    Andrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-main

  • skill-conductor by smixs · ⭐ 160

    Architecture-first skill lifecycle for AI agents. BinEval binary scoring with threshold-blind, cross-family-ca

  • modular-context-obsidian-plugin by klemensgc · ⭐ 97

    Modular Context | Karpathy LLM Knowledge Base + Gmail & G-Cal — multi-account MCP server for Claude Code, encr

  • Noteriv by thejacedev · ⭐ 82

    A fast, open-source markdown editor. Graph view, plugin API, themes, Git/WebDAV sync, AI MCP — built on Tauri

  • claudepro-directory by JSONbored · ⭐ 217

    HeyClaude (formerly Claude Pro Directory) is a searchable collection of pre-built AI skills, agents, MCP serve

  • obsidian-plugin-skill by gapmiss · ⭐ 186

    Agent SKILL for Obsidian.md plugin development

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Frequently Asked Questions

What is llm-wiki-skills?

llm-wiki-skills is Turn your markdown vault into a compounding knowledge wiki (Karpathy inspired). Six agent skills - knowledge grows with every conversation. Works with Obsidian, Logseq, etc. or just folders on your lo. It is categorized as a Claude Skill with 67 GitHub stars.

How do I install or use llm-wiki-skills?

You can find installation instructions and usage details in the llm-wiki-skills GitHub repository at github.com/vanillaflava/llm-wiki-skills. The project has 67 stars and 9 forks, indicating an active community.

What license does llm-wiki-skills use?

llm-wiki-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to llm-wiki-skills?

The top alternatives to llm-wiki-skills on Agent Skills Hub include llm-wiki-plugin, skill-conductor, modular-context-obsidian-plugin. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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