by nagisanzenin · Agent Tool · ★ 173
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin install production-grade@nagisanzenin
git clone https://github.com/nagisanzenin/production-grade.gitTaken from the project's README on GitHub. Check the security audit before running it.
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. Full audit →
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 | 173 |
| Forks | 49 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 47/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-19 |
| Created | 2026-03-04 |
| Platforms | claude-code, node |
| Est. Tokens | ~13k |
Production Grade Plugin 14 AI agents, one install, idea to production. New in v5.6 — one repo, four platforms. The same 14 skills now install natively on Claude Code, OpenAI Codex, OpenCode, and Pi — one shared core, thin per-platform glue, honest per-platform status. Support matrix below. New in v5.5 — The Loop Engine. Agents stop claiming "do
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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: