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.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: AI & Agents — see all ranked ›
Install (Claude Code):
cp -r sequential-monitoring ~/.claude/skills/- Adoption: 1 repos
- Upkeep: 56.0
- Freshness: 81.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 1
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · skill:clamp-sh/sequential-monitoring
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Measured 2026-08-09 · scorer s5 · how · something wrong here?