validating-models-and-claims

Installation
SKILL.md

Validating Models and Claims

Decide what the available evidence actually supports. Treat a metric, chart, or successful run as evidence for a bounded claim, not as proof that the full system works.

Start with the claim

Write each material claim in a falsifiable form before selecting evidence:

  • the decision or action the claim will influence;
  • the population, unit of analysis, prediction horizon, and operating conditions;
  • the comparator and practical improvement threshold;
  • the cost of false positives, false negatives, abstention, and delay;
  • the evidence that would refute or narrow the claim.

If these are unresolved and materially change the evaluation, surface the choice instead of silently selecting a convenient definition.

Build an evidence contract

For every claim, map the claim's scope to evidence of equal scope. A component test cannot establish end-to-end readiness; aggregate accuracy cannot establish subgroup safety; retrospective fit cannot establish future performance.

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validating-models-and-claims — aiopshwang/data-analysis-ml-agent-skills