domains / families / research / 08-eval-harness
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.
| Repository | Path |
|---|---|
| brycewang-stanford/Auto-Empirical-Research-Skills | skills/73-brycewang-p-hacking-skills/skills/08-eval-harness/SKILL.md |