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/plugin marketplace add dbreunig/building-with-jev-skill
npx skills add dbreunig/building-with-jev-skillTaken 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 | 166 |
| Forks | 12 |
| Category | AI Tool |
| Quality Score | 57/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-29 |
| Created | 2026-09-17 |
| Est. Tokens | ~1k |
Building with Jev This repo holds an agent skill for writing and improving programs that call Jev, TypeSafe's System One model. The skill covers question design (Choice, Score, Noul), state structure, answer composition in code, confidence thresholds, and diagnosis of questions that answer wrong or with low confidence. It targets . The skill lives in .
These tools work well together with building-with-jev-skill for enhanced workflows:
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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: