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 RAIT-09 · Codex Skill · ★ 2.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is obsidian-agent-client safe to install? View the security audit →
Featured in: Obsidian, Second Brain & LLM Wiki
Agent Client Plugin for Obsidian 日本語はこちら Bring AI agents (Claude Code, Codex, Gemini CLI) directly into Obsidian. Chat with your AI assistant right from your vault. Built on Agent Client Protocol (ACP) by Zed. https://github.com/user-attachments/assets/1c538349-b3fb-44dd-a163-7331cbca7824 Features Note Mentions: Reference your notes with syntax Image Attachments: Paste or drag-and-drop images into the chat Slash Commands: Use commands provided by your agent Multi-Ag
| Stars | 2,407 |
| Forks | 218 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 74.4013056913587/100 |
| Open Issues | 60 |
| Last Updated | 2026-09-14 |
| Created | 2025-09-18 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
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obsidian-agent-client is Bring AI agents into Obsidian via Agent Client Protocol (ACP), such as Claude Code, Codex and Gemini CLI.. It is categorized as a Codex Skill with 2.4k GitHub stars.
obsidian-agent-client is primarily written in TypeScript. It covers topics such as agent-client-protocol, claude-code, codex.
You can find installation instructions and usage details in the obsidian-agent-client GitHub repository at github.com/RAIT-09/obsidian-agent-client. The project has 2.4k stars and 218 forks, indicating an active community.
obsidian-agent-client is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to obsidian-agent-client on Agent Skills Hub include tokscale, hapi, cc-sdd. 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: