# Sequential Monitoring

> Always-valid sequential inference for honest peeking at running A/B tests. Applies mSPRT (mixture Sequential Probability Ratio Test) or confidence sequences so the false-positive rate stays at the nominal alpha even when the test is checked daily. Use this skill when the user asks if it's safe to call an A/B test early, or to peek-check a running test. Pairs with experiment-result-reader and bayesian-experiment-reader, and with analytics-diagnostic-method for the framing discipline. Triggers when Clamp MCP returns mid-experiment exposure and conversion counts, or when a user references peeking, early stopping, sequential testing, alpha-spending, mSPRT, or confidence sequences. Vendor-neutral methodology; works with any analytics source, with Clamp MCP as the canonical integration. Use whenever interpreting an in-flight experiment where the planned horizon has not been reached but the user wants a stop/continue decision.

## Facts
- Page: https://tashan.sh/capability/skill-clamp-sh-sequential-monitoring
- tashan id: skill:clamp-sh/sequential-monitoring
- Source: https://github.com/clamp-sh/analytics-skills
- Type: skill
- Category: ai
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 56.0
- Freshness: 81.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r sequential-monitoring ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-09 by tashan (https://tashan.sh) from public evidence. Scorer s5.