The A/B Significance Validator is a free Claude Skill that runs a real two-proportion z-test with a confidence interval and minimum-sample-size warning, catching false-positive "winners" on underpowered A/B tests.
A statistics function over the raw counts you supply, not a hosted service or an A/B testing platform integration.
| File | Purpose |
|---|---|
validator.js | twoProportionZTest(), plus exported erf()/normalCdf() — zero dependencies |
test.js | 16-test suite, including hand-verified z-statistic values against the pooled-variance formula |
SKILL.md | Full skill definition, loadable in Claude Code/Desktop |
A 50% relative lift sounds dramatic. On 20 users per variant, it is statistical noise, not a real effect, this skill says so explicitly (significant: false, with a sample-size warning) instead of letting a raw percentage mislead.
Yes. Free to download and run yourself. MV3 charges $175/hr only for implementation help wiring this into your real ESP or ad-platform reporting.
A real two-proportion z-test with pooled variance under the null hypothesis, using a standard Abramowitz-Stegun approximation of the normal CDF.
For most marketing A/B decisions (email subject lines, landing pages, ad creative), this is the standard, correct test. For more complex experimental designs, consult a statistician.
A rule-of-thumb floor below which even a "significant" p-value is fragile to noise for typical marketing-scale effect sizes. The skill flags this explicitly rather than silently returning a number.
No. The test runs entirely in your own environment.
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