Individual skill

phack-detection

Test whether a body of reported results shows p-hacking, selective reporting or selection between stages, using the p-curve battery and the threshold and across-stages tests of Adda, Decker and Ottaviani (2020). Implements the binomial, Fisher, Stouffer and least-concave-majorant monotonicity tests of Elliott, Kudrin and Wuethrich (2022); threshold-bunching tests calibrated against a smooth counterfactual density; a Cattaneo-Jansson-Ma density-jump test and a right-side spike test that tell a level shift (results withheld) from a spike (results pushed across); the phase II vs phase III comparison and the selective-continuation decomposition; and Simonsohn's p-curve power estimate. Use when asked whether a literature, a journal, a research design, an author, a registry or a set of agent runs shows evidence of p-hacking, publication bias or selective continuation.

skills/73-brycewang-p-hacking-skills/skills/06-phack-detection/SKILL.md

Source commit 8684584e7d1127940f018157d2c579974fae8f79

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

Yes

Repository scan complete

No

Skill scan complete

No

Observed behavior

Network or broad shell

Last checked

Nov 10, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

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