by fitlab-ai · Codex Skill · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install -g @fitlab-ai/agent-infra
brew install fitlab-ai/tap/agent-infraTaken 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 | 87 |
| Forks | 5 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 24 |
| Last Updated | 2026-11-07 |
| Created | 2026-03-06 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~25k |
Agent Infra Collaboration infrastructure for AI coding agents — skills, workflows, and sandboxes for Claude Code, Codex, Gemini CLI, and OpenCode. From issue to merged PR in 11 commands. Define a requirement, let AI handle analysis, planning, coding, and three-stage review — you only step in when it matters. = 22"
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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: