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 2233admin · MCP Server · ★ 36
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is obsidian-llm-wiki safe to install? View the security audit →
Your markdown vault, compiled into a 6-persona MCP team for Claude Code, Codex, OpenCode, and Gemini CLI. Headless-first. Cites, doesn't guess.
| Stars | 36 |
| Forks | 11 |
| Language | TypeScript |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 67.3047730405681/100 |
| Open Issues | 23 |
| Last Updated | 2026-09-29 |
| Created | 2026-04-05 |
| Platforms | claude-code, cli, codex, gemini, mcp, node |
| Est. Tokens | ~17k |
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obsidian-llm-wiki is Your markdown vault, compiled into a 6-persona MCP team for Claude Code, Codex, OpenCode, and Gemini CLI. Headless-first. Cites, doesn't guess.. It is categorized as a MCP Server with 36 GitHub stars.
obsidian-llm-wiki is primarily written in TypeScript. It covers topics such as ai-agent, claude-code, codex.
You can find installation instructions and usage details in the obsidian-llm-wiki GitHub repository at github.com/2233admin/obsidian-llm-wiki. The project has 36 stars and 11 forks, indicating an active community.
obsidian-llm-wiki is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to obsidian-llm-wiki on Agent Skills Hub include deterministic-agent-control-protocol, llm-wiki-plugin, ai-workspace-hub. 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: