by bOpen
[ PORTABLE SKILL ]

experiment-stats

This skill should be used when the user asks 'is this A/B test significant', 'did the variant actually win', 'compute lift and confidence interval', 'score a marketing experiment', 'run the promote-gate', or wants a statistically defensible promote/hold/reject call on an A/B or multivariate marketing experiment. Computes lift, a bootstrap confidence interval, and a significance test (Mann-Whitney U or two-proportion z) using pure Python standard library, without scipy or numpy. Every p-value is computed from the input data, never estimated. Use before promoting any experiment variant to production.

experiment-stats skill icon
PART OF
product-skills

Complete plugin installation is recommended so this skill keeps its agents, hooks, commands, and runtime context.

Runtime support:Claude pluginCodex pluginPortable skills
PUBLISHER
b-open-io
RELATIONSHIP
authored
VERSION
0.1.0
BENCHMARK
unknown
[ RECOMMENDED INSTALL ]

Install product-skills

The complete plugin is the supported path. It preserves everything the publisher designed to work alongside this skill.

Claude Code

VERIFIED

Codex

VERIFIED

Grok Build

VERIFIED
  • Grok requires the full @b-open-io/claude-plugins marketplace qualifier when installing.
[ ADVANCED · INDIVIDUAL SKILL ]

Install only this skill

Use this narrower path only when you intentionally want the portable SKILL.md without the plugin’s surrounding capabilities.

Skills CLI

VERIFIED
  • Installs only the portable skill; it omits plugin hooks, agents, commands, apps/MCP configuration, and unlisted companion skills.
[ PROVENANCE ]

Trace it to the source.

UPSTREAM SOURCE
No separate upstream declared
DISTRIBUTED DIGEST
sha256:5e4f6a5cc10736f64f76733a6b0ded7d5c3fad990f62714c451d163c1a21b0e1
LOCK HASH
Not applicable

Companion skills

No required companion skills are declared.

Agents using this skill

[ SOCIAL SHARE ]

Share this skill.

Pass the canonical page to a teammate or keep it close for later.