Add falsify to Evaluation and Monitoring#763
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Closing in favor of #769 (more focused angle). Sorry for the noise. |
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Adding falsify under "Evaluation and Monitoring" — a single-file Python CLI that pre-registers ML accuracy claims with SHA-256 over canonical YAML. Lock the metric/threshold/dataset before the experiment runs; tampered specs exit 3 in CI.
Placed alphabetically between
EvalScopeandEvaluate. Happy to relocate or rephrase per maintainer preference.