Read the result of a running A/B test honestly. Pulls per-variant exposure and conversion counts, computes lift, applies sequential-testing and sample-size discipline, and surfaces the result in plain language without over-claiming. Built on the experiments section of the event-schema spec; works with any platform that fires a canonical exposure event ($exposure, $experiment_started, or equivalent
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Experiment result reader
A/B tests die from two failure modes that have nothing to do with the variant: reading the result before the sample is big enough, and reading the result without controlling for the wrong thing. This skill encodes the discipline analysts use to avoid both.
When NOT to run this
The user wants to design a new experiment (sample-size estimation, MDE, variant logic). That's a different skill: design vs read.
The experiment isn't declared in event-schema.yaml
[Description truncada. Veja o README completo no GitHub.]
