results-analysis
Results Analysis
Run strict, evidence-first experimental analysis for ML/AI research.
Use this skill to produce a strict analysis bundle:
analysis-report.mdstats-appendix.mdfigure-catalog.mdfigures/
When the user asks for review, audit, no-write, dry-run, or when inputs are incomplete, use read-only audit mode instead of producing files or figures. In that mode, output only valid/invalid statistics, blockers, claim candidates, and what evidence is missing. If invoked by /analyze-results, the command layer may write a blocker summary, but this skill should not create figures, reports, or polished conclusions from incomplete evidence.
Do not use this skill to draft a paper Results section or a full experiment wrap-up report. Those belong to ml-paper-writing or results-report.
Core contract
This skill is responsible for
- validating experiment artifacts and comparison units,
- running rigorous descriptive and inferential statistics,
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