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.

Complete plugin installation is recommended so this skill keeps its agents, hooks, commands, and runtime context.
- PUBLISHER
- b-open-io
- RELATIONSHIP
- authored
- VERSION
- 0.1.0
- BENCHMARK
- unknown
Install product-skills
The complete plugin is the supported path. It preserves everything the publisher designed to work alongside this skill.
Codex
VERIFIEDGrok Build
VERIFIED- Grok requires the full @b-open-io/claude-plugins marketplace qualifier when installing.
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.
Trace it to the source.
- DISTRIBUTED SOURCE
- skills/experiment-stats/SKILL.md ↗
- 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
Share this skill.
Pass the canonical page to a teammate or keep it close for later.
legal-compliance
This skill should be used when the user asks to draft a privacy policy, terms of service, cookie policy, or data processing agreement; when they ask about GDPR, CCPA, HIPAA, or other privacy regulations; when they need a compliance audit, legal gap analysis, or regulatory guidance; when they ask about employment law, IP rights, open source licensing, or contract review; when they mention 'legal', 'compliance', 'regulation', 'liability', 'terms', 'privacy', or 'lawsuit'. This skill also applies to crypto and digital asset questions: token classification (Howey test), security token offerings, stablecoins, GENIUS Act, DeFi compliance, CFTC jurisdiction, DAO liability, IRS crypto tax, AML/FinCEN MSB registration, tokenization of real-world assets, UCC Article 8, and smart contract legal review. Also use for designing or building agentic legal workflows, multi-agent compliance pipelines, and legal AI system architecture using Vercel AI SDK or CrewAI.