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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 | 61 |
| Forks | 4 |
| Language | TypeScript |
| Category | AI Tool |
| Quality Score | 55/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-09-20 |
| Platforms | node |
| Est. Tokens | ~18k |
Can a model design a dashboard? Designing one means making the visual decisions of a whole interface from a single sentence, and having them hold together across every component on the screen. That is a larger job than picking a colour or filling in a theme. This repo is the experiment.
These tools work well together with jev-design for enhanced workflows:
Looking for a jev-design alternative? If you're comparing jev-design with other ai tool tools, these 3 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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: