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 3338902669-ops · Agent Tool · ★ 96
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-orchestra safe to install? View the security audit →
Agent Orchestra One portable, capability-first protocol for multi-agent work along two axes: coordinating a team inside one batch of tasks, and handing that work across sessions, tools and days without losing state. It ships explicit ownership, independent verification, graded evidence, deterministic dispatch, a shared handoff record and token-aware routing. What's in this repository you want determinis
| Stars | 96 |
| Forks | 0 |
| Language | JavaScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 61.7614082750515/100 |
| Last Updated | 2026-10-02 |
| Created | 2026-08-19 |
| Platforms | node |
| Est. Tokens | ~15k |
These tools work well together with agent-orchestra for enhanced workflows:
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agent-orchestra is Agents can work. They cannot declare success. A governed coordination protocol for multi-agent AI work: eight contracts (task, resource, ownership, handoff, verification, evidence, approval, recovery). It is categorized as a Agent Tool with 96 GitHub stars.
agent-orchestra is primarily written in JavaScript. It covers topics such as agent-orchestration, agent-skills, ai-agents.
You can find installation instructions and usage details in the agent-orchestra GitHub repository at github.com/3338902669-ops/agent-orchestra. The project has 96 stars and 0 forks, indicating an active community.
agent-orchestra is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-orchestra on Agent Skills Hub include forge-orchestrator, claude-emporium, vnx-orchestration. 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: