asset-quality
Skill2 starsChanged 3 months agoMITView on GitHub
Evaluate generated images, textures, meshes, animations, and Godot packages with deterministic gates followed by an explainable family-local k-NN memory.
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The file
Files
Asset Quality Memory
Asset Quality Memory is a zero-cloud, standard-library baseline for Asset
Factory QA. It is deliberately shadow-only: it explains FAIL, UNCERTAIN,
PASS, or PASS_ROBUST, but never imports, publishes, or activates an asset.
Decision order
- Decode, manifest, SHA-256/size, and licence checks.
- Family-specific deterministic checks.
- k-NN over externally verified assets from the same family only.
- Abstention when fewer than three comparable examples exist.
- A future micro-NN is considered only after beating this baseline on a temporal holdout without reducing quality.
Supported families are image, texture, mesh, animation, and godot.
Their feature schemas are intentionally separate; a mesh can never become a
neighbor of an image.
Commands
botte asset-qa status . --json
botte asset-qa evaluate asset-report.json --project . --json
botte asset-qa record asset-report.json --project . \
--verdict pass --verified-by tests:asset-harness --evidence ci:asset-142The report contains family, sha256, size_bytes, checks, and normalized
features. See the JSON schema
and examples/asset-quality/mesh-report.json for a complete input.
Operational memory is written to .botte/asset-quality.jsonl; local paths and
raw asset bytes are never stored.
This implementation runs on CPU and mono-GPU machines. An RTX 3060 or other GPU may generate embeddings upstream later, but it is not required or trusted by the integrity gates.
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