数据与研究

results-analysis

galaxy-dawn/cla…-scholar

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.

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安装命令

npx skills add https://github.com/galaxy-dawn/claude-scholar --skill results-analysis

SKILL.md

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