| name | unity-ai-audit |
| description | Use to audit a Unity project's AI/ML stack: packages, models, scripts, configs, and release risks. Start here for "what AI does this game use?" |
Unity AI stack audit
One-shot
Run get_ai_stack_summary with include_prompt_assets: true.
Deep dive order
| Step | Tool | Why |
|---|
| 1 | get_ai_ml_package_inventory | Official Unity AI packages & versions |
| 2 | list_ml_model_assets | ONNX and other models in repo |
| 3 | list_ml_agents_training_configs | RL training YAMLs |
| 4 | find_ai_related_scripts | Code-level AI APIs |
| 5 | list_ai_prompt_or_config_assets | Prompt/RAG JSON or docs |
| 6 | get_build_size_estimate | Model weight in shipping build |
| 7 | get_release_readiness | Broken refs + cycles + large assets |
Bundled skills
Call list_ai_skills (returns category) then read_ai_skill.
Skills follow Unity Editor domains — see skills/README.md. Highlights:
- Scenes:
unity-scenes-workflow
- Model-agnostic:
unity-model-agnostic-inference
- Vendor-specific:
unity-ml-agents, unity-sentis-inference, unity-llm-integration
- Gameplay AI:
unity-navmesh-npc
- Performance:
unity-runtime-performance, unity-build-size-optimization, unity-memory-asset-pressure
Report template
## AI stack summary
- Packages: ...
- Models: N ONNX, ...
- Scripts: N files (top labels: ...)
