ml-stack-audit
Independently audit ML release and reproducibility claims when a user asks whether a model, dataset, run, artifact, or deployment is ready; reconcile provenance, hashes, privacy, licenses, and gates with PASS, FAIL, or ABSTAIN.
Pinned to revision 6829bde67fb6, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/ml-stack-audit/SKILL.md
- skills/ml-stack-audit/agents/openai.yaml
- skills/ml-stack-audit/references/audit-report.md
- skills/ml-stack-audit/references/claims-and-provenance.md
- skills/ml-stack-audit/references/privacy-and-licensing.md
- skills/ml-stack-audit/references/release-gates.md
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