obsidian-llm-wiki: Turn your LLM into a wiki maintainer

by songzhuozhu · Codex Skill · ★ 122

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

Security audit verdict: SAFE · quality 55/100

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. Full audit →

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

Stars122
Forks25
CategoryCodex Skill
LicenseMIT
Quality Score55/100
Last Updated2026-04-19
Created2026-04-11
Platformsclaude-code, codex
Est. Tokens~8k

About obsidian-llm-wiki

English | 中文 Inspool Wiki for Obsidian 首先感谢 Andrej Karpathy 的《LLM Wiki》原文。这个项目直接受那篇 idea file 启发而来。 Karpathy 提出的核心思想很重要:不要每次提问都让 LLM 从原始文档里重新检索和拼装答案,而是让 LLM 持续维护一个介于你和原始资料之间的、可累计演化的 wiki。原文把这个模式讲得很清楚,也为这个项目提供了出发点。 但这个项目不是对原文的机械照抄。它是在那个方向上,结合 Obsidian、中文知识库实践、Codex/Claude 双代理使用、人工确认归档,以及更明确的工作流约束后,做出的一个可直接落地的版本。 这个项目解决什么问题 大多数人用 LLM 管资料,还是在做"每次重新理解一遍"的模式: 把一堆文档丢给模型 提问时临时检索 生成一次性回答 回答结束后,结构没有留下来...

obsidian-llm-wiki alternative? Top 2 similar tools

Looking for a obsidian-llm-wiki alternative? If you're comparing obsidian-llm-wiki with other codex skill tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • solana-dev-skill by solana-foundation · ⭐ 578

    Skills for agentic development on Solana

  • theorist by blader · ⭐ 191

    A Codex/Claude skill that maintains per-repo operating theory documents.

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

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:

View on GitHub → Browse Codex Skill tools