by gary149 · Agent Tool · ★ 124
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git clone https://github.com/gary149/h3-game-spritesTaken 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 | 124 |
| Forks | 8 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68/100 |
| Last Updated | 2026-08-17 |
| Created | 2026-08-17 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
h3-game-sprites An Agent Skill for turning AI-generated video into 2D game sprite sheets. Mortal Kombat (1992) filmed actors and digitized the footage into sprites. This does the same thing with a video model as the actor: one short clip per move, cut down to its pose extremes, chroma-keyed to transparency, and packed into an atlas you can drop into an engine.
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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.
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