* feat(skill): add actuarial risk modeling methodology * fix(skill): refresh generated catalogs
1.4 KiB
Model Report
Executive Answer
Decision:
Recommendation:
Confidence and boundary:
Question and Context
State the decision, population, unit, horizon, target, and why the analysis matters.
Data and Provenance
Describe sources, extraction date, grain, exposure, exclusions, missingness, censoring, known revisions, and the information available at the decision boundary.
Method
Explain the model family, link/distribution, transformations, offsets, dependence structure, fitting boundary, and why alternatives were rejected or retained.
Results
Report estimates or forecasts with units and uncertainty. Include calibration, segment stability, tail behavior, and decision-relevant metrics rather than only a single average score or p-value.
Diagnostics and Robustness
Record assumption checks, residual or dependence findings, influential observations, model comparison, sensitivity analyses, stress scenarios, and unresolved gaps.
Interpretation Boundaries
- Observed:
- Inferred by the model:
- Assumed:
- Not identified:
- Not tested:
Use Controls
State permitted use, prohibited extrapolation, monitoring, review cadence, override, incident response, and retirement or rollback triggers.
Reproduction
- Data snapshot or query:
- Code and environment:
- Random seeds:
- Model/configuration:
- Reviewer and date: