Purpose

Generate structured experiment reports and final result analysis for each subquestion based on actual model experiment outputs, figures, tables, and metrics.

This skill converts raw experimental outputs into readable, comparative reports that:

• Explain what each method produced, numerically and visually.
• Compare multiple candidate methods head-to-head on defined metrics.
• Lay out the evidence for whether results are good enough to proceed or need method revision — as an AI suggestion, not a verdict.
• Tell the modeler what to fix or reconsider.
• Tell the paper writer what results are usable, what claims are supported, and what visual evidence exists.

This skill does NOT originate the graded result verdict. It does not assign the per-method [CHOSEN]/[BACKUP]/[REJECTED] label, the round decision (proceed/iterate/return), or the confidence level. Those are the single most graded result-stage judgments — they propagate into the paper and then get frozen. The AI lays out the comparison evidence and an explicitly-labeled [AI-SUGGESTED — not a verdict] read, then STOPS and emits a PENDING decision artifact for the human to render the verdict (see Workflow step 8.5 / Gate G4.5).

This skill does not run experiments, generate figures from scratch, select model methods, write final paper sections, or perform QA.

When to use

Use this skill: