by Ar9av · MCP Server · ★ 3.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Knowledge Base & RAG · Obsidian for Claude Code & AI Agents
git clone https://github.com/Ar9av/obsidian-wiki.gitTaken from the project's README on GitHub. Check the security audit before running it.
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.
One of 5 tools we ran end to end on the same task for our Obsidian for Claude Code & AI Agents page (2026-10-10).
Result: The skill was loaded once; the searching and reading were done with Claude Code's own file tools. · answered 15 of 15 questions about a test vault · 2.3× the tokens of plain file tools · 1 calls through the tool, 9 through plain file tools
| Stars | 3,688 |
| Forks | 372 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 7 |
| Last Updated | 2026-11-05 |
| Created | 2026-04-06 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~18k |
obsidian-wiki A knowledge mgmt system inspired by gist published by Andrej Karpathy about maintaining a personal knowledge base with LLMs : the "LLM Wiki" pattern. Instead of asking an LLM the same questions over over (or doing RAG every time), you compile knowledge once into interconnected markdown files and keep them current. In this case Obsidian is the viewer and the LLM is the maintainer.
Looking for a obsidian-wiki alternative? If you're comparing obsidian-wiki with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files
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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: