sprite-gen: Generate clean 2D game sprites & animation atlases — component-row pipeline

by aldegad · Claude Skill · ★ 3.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 68/100

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.

2d-gameai-toolsclaude-codecodexgame-devgamedevpixel-artsprite-generationsprite-sheet

Quick Facts

Stars3,048
Forks335
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score68/100
Open Issues4
Last Updated2026-10-26
Created2026-05-12
Platformsclaude-code, codex, python
Est. Tokens~14k

About sprite-gen

sprite-gen One drawing in. A game-ready sprite atlas out. English · 한국어 · 日本語 · 简体中文 · Español · Français Ask an image model for a "sprite sheet" and you know what you get: a character whose face changes every frame, a background that won't key out, poses that overlap and drift off-grid, and a PNG your game engine can't actually consume. Cute demo, useless asset.

Compatible Skills

These tools work well together with sprite-gen for enhanced workflows:

  • ai_game_base_analysis_cli_mcp_tool — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • ParanoiaSkills — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • game-design-skills-bundle — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • GodotMaker — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

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:

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