ai-game-art-pipeline-skill: Agent skill from Y Build for turning AI images and videos into playable game art assets

by ybuild-ai · Codex Skill · ★ 301

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

How to install ai-game-art-pipeline-skill

npx skills add ybuild-ai/ai-game-art-pipeline-skill --skill ai-game-art-pipeline -g
git clone https://github.com/ybuild-ai/ai-game-art-pipeline-skill.git ~/.codex/skills/ai-game-art-pipeline

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

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.

agent-skillsai-artclaude-codecodexgame-artgame-developmentgenerative-aipixijssprite-animationvideo-to-frames

Quick Facts

Stars301
Forks7
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score61/100
Last Updated2026-06-17
Created2026-05-04
Platformsclaude-code, codex, python
Est. Tokens~13k

About ai-game-art-pipeline-skill

AI Game Art Pipeline Skill Provider-neutral workflows for turning AI images and videos into playable game assets. This skill helps agents plan, generate, clean, package, and QA game-runtime art assets: sprites, icons, backgrounds, video-to-frames animation, cinematic ultimates, anchors, compression, and runtime checks.

Compatible Skills

These tools work well together with ai-game-art-pipeline-skill for enhanced workflows:

  • sprite-gen — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)
  • GameDesignOS — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (61%)
  • ParanoiaSkills — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (61%)
  • cube-harness — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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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:

View on GitHub → Browse Codex Skill tools