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 ClipboardHealth · Codex Skill · ★ 66
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is groundcrew safe to install? View the security audit →
Dispatch your task backlog to local, interactive AI coding agents. One git worktree per task, sandboxed by default. Groundcrew watches assigned tasks, creates isolated worktrees, launches agent CLIs in dedicated terminals, and leaves each task's work on its own PR-ready branch. For the
| Stars | 66 |
| Forks | 9 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.1713849727282/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-21 |
| Created | 2026-05-16 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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groundcrew is Dispatch your task backlog to local, interactive AI coding agents. One git worktree per task, sandboxed by default.. It is categorized as a Codex Skill with 66 GitHub stars.
groundcrew is primarily written in TypeScript. It covers topics such as agentic, ai-agents, automation.
You can find installation instructions and usage details in the groundcrew GitHub repository at github.com/ClipboardHealth/groundcrew. The project has 66 stars and 9 forks, indicating an active community.
groundcrew is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to groundcrew on Agent Skills Hub include shep, ordewell, 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: