Claude Skills · Code Review & Testing

Eval Design Forensics

wanshuiyin/Anti-Autoresearch

Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score may not measure generalization (HP-EVAL-LEAKAGE — adopts the Kapoor & Narayanan 8-type / 3-category leakage taxonomy; the illegitimate-proxy / sampling-bias / pretraining-contamination subtypes hand off as needs_external_check, naming but NEVER running Oren-2023 exchangeability / Shi-2023 Min-K% / Golchin-2023 Time-Travel / BIG-bench canary); a load-bearing...

★ 149 Synced 4 hours ago View SKILL.md

At a glance

Code Review & Testing Manual install Python Actively maintained

This skill is for Code Review & Testing and helps you audit evaluation design validity, detect train-test leakage in ml papers, and identify measurement validity problems.

Install git clone --depth 1 https://github.com/wanshuiyin/Anti-Autoresearch cp -r Anti-Autoresearch/skills/eval-design-forensics ~/.claude/skills/eval-design-forensics
Can use BashReadWriteSearchWebMCP

Setup, runtime and requirements describe wanshuiyin/Anti-Autoresearch, the repo this skill ships in.

Ml EvaluationExperimental DesignPaper ReviewLeakage DetectionValidityReproducibility

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View the repo
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