llm-wiki: Hệ thống knowledge base cá nhân hoàn toàn tự động, vận hành bởi LLM

by mduongvandinh · Claude Skill · ★ 212

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

How to install llm-wiki

git clone https://github.com/mduongvandinh/llm-wiki.git my-wiki

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

Flagged: installs a cron job. 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.

andrej-karpathyclaude-codellmobsidian

Quick Facts

Stars212
Forks94
LanguageHTML
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Last Updated2026-04-16
Created2026-04-07
Platformsclaude-code
Est. Tokens~10k

About llm-wiki

LLM Wiki A personal knowledge base that builds and maintains itself. Drop articles, notes, PDFs, or Reddit threads into a folder. Your AI reads everything, builds a structured wiki with cross-references, detects contradictions between sources, and keeps it all up to date — automatically. You just read and ask questions. Inspired by Andrej Karpathy's LLM Wiki pattern.

Compatible Skills

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

  • llm-wiki-compiler — semantic(0.52)+complementary+same_lang+similar_pop+shared_platform (63%)
  • swarmvault — semantic(0.50)+complementary+similar_pop+shared_platform (57%)
  • obsidian-wiki — semantic(0.61)+complementary+similar_pop (56%)
  • llmwiki — semantic(0.59)+complementary+similar_pop+shared_platform (56%)
  • llm-wiki — semantic(0.58)+complementary+similar_pop+shared_platform (55%)

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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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