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 oxgeneral · Agent Tool · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ORCH safe to install? View the security audit →
Open-source orchestration for zero-human companies, processes and departments. Run multiple AI agents on one project — without babysitting any of them.Coordinate Claude, Codex, Pi, Cursor and any CLI tool in parallel. One npm install. Zero infrastructure.
| Stars | 142 |
| Forks | 16 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65.3506827698401/100 |
| Open Issues | 7 |
| Last Updated | 2026-08-01 |
| Created | 2026-03-10 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~20k |
These tools work well together with ORCH for enhanced workflows:
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ORCH is One CLI to orchestrate them all. Manage a team of AI agents executing tasks in parallel from your terminal using a command line interface to manage them all. Manage a team of artificial intelligence a. It is categorized as a Agent Tool with 142 GitHub stars.
ORCH is primarily written in TypeScript. It covers topics such as agent-orchestration, ai-agents, claude-code.
You can find installation instructions and usage details in the ORCH GitHub repository at github.com/oxgeneral/ORCH. The project has 142 stars and 16 forks, indicating an active community.
ORCH is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ORCH on Agent Skills Hub include agent-skills, vnx-orchestration, orchestkit. 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: