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.md` - `stats-appendix.md` - `figure-catalog.md` - `figures/` 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, - generating **real scientific figures** when data/logs are available, - writing figure purposes, caption requirements, and interpretation checklists, - surfacing limits, blockers, and missing evidence explicitly. ### This skill is not responsible for - paper-ready `Results` prose, - manuscript narrative polishing, - paper-ready figure/table packaging with `pubfig` / `pubtab`, - project-level experiment retrospectives. If the user wants the complete post-experiment summary report, hand off t...