Detects statistical errors, logical fallacies, and methodological issues in research content. Checks for p-hacking, correlation/causation confusion, underpowered samples, multiple comparisons problems, overgeneralization, and other common fallacies. Use when the user asks to validate statistics, audit quantitative claims, check methodology, or find logical errors. Returns minimal output on purely theoretical content — most useful after empirical data is present.
How to install stats?
richard-kim-79/archora-skills/stats
$npx -y skills add richard-kim-79/archora-skills --skill statsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/richard-kim-79/archora-skills" --skill "richard-kim-79/archora-skills/stats"` 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/richard-kim-79/archora-skills" that are relevant to the current task. Run `npx skills add "https://github.com/richard-kim-79/archora-skills"` and select the relevant skills, then follow their instructions.
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