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08-eval-harness

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Run and score the agent p-hacking benchmark. Composes prompt cells across research framing and significance pressure, drives an agent through them, and scores each run into a P-Hacking Intensity index decomposed into selection, search breadth, estimate inflation, inference gap, pre-registration departure and disclosure. Use when benchmarking whether an AI agent p-hacks, comparing models or tool stacks on statistical integrity, scoring a single agent analysis run, or designing an evaluation of statistical guardrails.

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When not to use

Skill page

Source

RepositoryPath
brycewang-stanford/Auto-Empirical-Research-Skillsskills/73-brycewang-p-hacking-skills/skills/08-eval-harness/SKILL.md