result-report-generator

Installation
SKILL.md

Purpose

Turn saved experiment artifacts into compact evidence. Do not treat ordinary successful runs as requiring a long report, and do not choose the winning method.

Inputs

  • run_summary.json
  • method card and probe summary
  • decision ledger
  • saved tables, metrics, and figures
  • session rigor_profile

Stop if the run summary claims outputs that do not exist or if main and baseline are not comparable.

Modes

Ordinary lean round

Installs
17
GitHub Stars
793
First Seen
Jun 16, 2026
result-report-generator — zhnnky329/mathmodeling-skills