by mankidev · Claude Skill · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/mankidev/codixel ~/.claude/skills/codixelTaken 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 | 74 |
| Forks | 5 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2026-11-02 |
| Created | 2026-10-31 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
Codixel Codixel is a Claude Code skill for making pixel art with AI: game sprites, characters, animations and effects like fire, smoke and beams. It covers how to describe what you want, the steps from a reference image to a finished animated sprite, and why you have to check every step. Left: without Codixel. Right: with Codixel. Steps Find real images of what you want.
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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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