Use whenever you run statistical analysis for the social sciences (regression, hypothesis tests, econometrics) or read Stata (.dta) / SPSS (.sav) data in this workspace. Enforces an execute-don't-interpret boundary (surface estimates, don't volunteer causal claims), checks the analysis against a preregistration plan for HARKing, verifies reproducible seeds, and reproduces .dta/.sav estimates via R. Flags integrity risks; never certifies the analysis is sound.
How to install stats-integrity?
ai4s-research/open-science/stats-integrity
$npx -y skills add ai4s-research/open-science --skill stats-integrityInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ai4s-research/open-science" --skill "ai4s-research/open-science/stats-integrity"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ai4s-research/open-science" that are relevant to the current task. Run `npx skills add "https://github.com/ai4s-research/open-science"` and select the relevant skills, then follow their instructions.
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