Agent Skills: rigorous-experiments

This skill should be used when designing, running, validating, or auditing statistical experiments on personal or observational time-series data (health metrics, speech/text corpora, behavioral logs, diaries, n-of-1 self-tracking). It enforces pre-registration, exact permutation tests, FDR discipline, data-validation gates, adversarial code review, and cross-validation with external models. Triggers on "design an experiment", "test this hypothesis on my data", "is this correlation real", "audit these findings", "pre-register", "validate this dataset", or any n-of-1 / quantified-self analysis request.

UncategorizedID: glebis/claude-skills/rigorous-experiments

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pnpm dlx add-skill https://github.com/glebis/claude-skills/rigorous-experiments

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