by ReScienceLab · Claude Skill · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install "git+https://github.com/ReScienceLab/super-prototyping#subdirectory=tools"
uv tool install --force "git+https://github.com/ReScienceLab/super-prototyping@super-prototyping--v<version>#subdirectory=tools"Taken 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 | 4 |
| Language | HTML |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 65/100 |
| Open Issues | 16 |
| Last Updated | 2026-10-08 |
| Created | 2026-08-29 |
| Platforms | claude-code, codex |
| Est. Tokens | ~21k |
super-prototyping An agent plugin for rebuilding and designing product UI as self-contained HTML artboards on a local tldraw canvas, with the measuring toolkit and the agent skills that drive the work. Install it into any project; your boards stay in your project and the plugin upgrades around them. The point of it is a replica you can defend.
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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: