by sevenevesai · Claude Skill · ★ 304
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git clone https://github.com/sevenevesai/riso-windowseatTaken 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 | 304 |
| Forks | 32 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 63/100 |
| Last Updated | 2026-10-28 |
| Created | 2026-09-22 |
| Platforms | browser, claude-code |
| Est. Tokens | ~16k |
Window Seat A 78-second risograph film of a night train journey, seen through one fixed window with a glass of water on the sill. Every pixel and every sound except the piano is procedural, and the whole film is a single of Canvas 2D and Web Audio: no libraries, fonts, images or network calls.
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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: