by logancyang · Codex Skill · ★ 7.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Copilot for Obsidian Agents for your Obsidian vault Copilot V4 brings opencode, Claude Code, and Codex into Obsidian for research, writing, and knowledge work. No. 1 Obsidian AI Plugin Install in Obsidian · View plans · Get started Choose your agent Agent is the main Copilot exp
| Stars | 7,783 |
| Forks | 750 |
| Language | TypeScript |
| Category | Codex Skill |
| License | AGPL-3.0 |
| Quality Score | 59.2774187351041/100 |
| Open Issues | 146 |
| Last Updated | 2026-10-03 |
| Created | 2023-03-31 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
Looking for a obsidian-copilot alternative? If you're comparing obsidian-copilot with other codex skill 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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obsidian-copilot is Run agents in Obsidian - OpenCode, Codex, Claude Code etc.. It is categorized as a Codex Skill with 7.8k GitHub stars.
obsidian-copilot is primarily written in TypeScript. It covers topics such as ai, aiagent, chatgpt.
You can find installation instructions and usage details in the obsidian-copilot GitHub repository at github.com/logancyang/obsidian-copilot. The project has 7.8k stars and 750 forks, indicating an active community.
obsidian-copilot is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to obsidian-copilot on Agent Skills Hub include aide, Leaked-GPTs, 9router. 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: