# Results Analysis

Should be used when the user asks to "analyze experimental results", "run strict...

- Repository: https://github.com/Galaxy-Dawn/claude-scholar (5959 stars)
- Category: Data and ML
- License: MIT
- Last updated: 2026-10-19
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Galaxy-Dawn/claude-scholar --skill results-analysis -g -a claude-code -y`
Codex: `npx skills add Galaxy-Dawn/claude-scholar --skill results-analysis -g -a codex -y`
Cursor: `npx skills add Galaxy-Dawn/claude-scholar --skill results-analysis -g -a cursor -y`
Gemini CLI: `npx skills add Galaxy-Dawn/claude-scholar --skill results-analysis -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Galaxy-Dawn/claude-scholar`

## Description

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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 to `results-report` after this bundle is ready. If the user wants publication-grade figures/tables, export parameters, publication QA, or figure/table redesign, hand off to `publication-chart-skill`.

## Non-negotiable quality bar

The rest: https://github.com/Galaxy-Dawn/claude-scholar/blob/HEAD/skills/results-analysis/SKILL.md