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 Vinix24 · Claude Skill · ★ 61
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vnx-orchestration safe to install? View the security audit →
VNX VNX runs AI coding CLI workers in tmux, isolated git worktrees, through review gates, with an append-only NDJSON receipt per dispatch. It is a local control plane for the AI coding CLIs that already sit on your machine. One orchestrator dispatches work to ephemeral workers; each worker runs in its own git worktree; review gates decide what merges; every dispatch leaves a receipt. VNX drives , , , , and local with no vendor SDK. It calls the CLIs as subprocesses and never imports a provider library. Most agent projects build SDK-native agents. I orchestrate the binaries instead. The difference shows up in the audit trail: I can reconstruct what was dispatched, what was reviewed, what merged, and what each gate cost. I built this for my own work, across 2,000+ hours of Claude Code and 1,450+ tests. It is open source because the architecture is portable. Source is at github.com/Vinix24/vnx-orchestration. This is not a security sandbox; it isolates work with tmux sessions and git worktrees. It is not compliance certification; it produces a local, append-only, inspectable audit trail. It is optimized for human-gated coding workflows, not fully autonomous merges.
| Stars | 61 |
| Forks | 8 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62.7998169756904/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-08 |
| Created | 2026-01-19 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~17k |
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vnx-orchestration is Governance-first orchestration for Claude Code, Codex, and Gemini CLI — parallel workers, receipts, quality gates, and full provenance.. It is categorized as a Claude Skill with 61 GitHub stars.
vnx-orchestration is primarily written in Python. It covers topics such as agent-orchestration, agentic-ai, ai-agents.
You can find installation instructions and usage details in the vnx-orchestration GitHub repository at github.com/Vinix24/vnx-orchestration. The project has 61 stars and 8 forks, indicating an active community.
vnx-orchestration is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vnx-orchestration on Agent Skills Hub include forge-orchestrator, multi-agent-ralph-loop, agent-skills. 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: