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 ComposioHQ · Claude Skill · ★ 4.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is open-claude-cowork safe to install? View the security audit →
Open Claude Cowork An open-source desktop chat application powered by Claude Agent SDK and Composio Tool Router. Automate your work end-to-end across desktop and all your work apps in one place.
| Stars | 4,057 |
| Forks | 684 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 75.5278116933617/100 |
| Open Issues | 15 |
| Last Updated | 2026-05-03 |
| Created | 2026-01-13 |
| Platforms | claude-code, node |
| Est. Tokens | ~2696k |
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open-claude-cowork is Open Source version of Claude Cowork with 500+ SaaS app integrations. It is categorized as a Claude Skill with 4.1k GitHub stars.
open-claude-cowork is primarily written in JavaScript. It covers topics such as aiagents, anthropic, anthropic-claude.
You can find installation instructions and usage details in the open-claude-cowork GitHub repository at github.com/ComposioHQ/open-claude-cowork. The project has 4.1k stars and 684 forks, indicating an active community.
open-claude-cowork is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to open-claude-cowork on Agent Skills Hub include open-claude-cowork, claudecodeui, Claude-Code-Everything-You-Need-to-Know. 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: