by ClipboardHealth · Codex Skill · ★ 68
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @clipboard-health/groundcrew@latestTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 68 |
| Forks | 11 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 1 |
| Last Updated | 2026-11-05 |
| Created | 2026-05-16 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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
Looking for a groundcrew alternative? If you're comparing groundcrew with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Ship features 10x faster. Built In Auto: Memory, K8S Agent & Security (SDD+SDLC) . 😇
Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks (each with its o
Governance-first orchestration for Claude Code, Codex, and Gemini CLI — parallel workers, receipts, quality ga
Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f
Turn tracker tickets into autonomous agent sessions
🦈 2-line install personal AI assistant. 11 AI runtime surfaces (Claude, Codex, Cursor, Gemini, Grok, Antigrav
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: