ab-test-analysis
Analyze supplied controlled-experiment observations with setup-integrity checks, effect estimates, uncertainty, guardrails, practical significance, and a…
Skill by ThorStarlord
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/thorstarlord-ab-test-analysis
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ab-test-analysis
What's inside
- Skill name
ab-test-analysis- Description
- Analyze supplied controlled-experiment observations with setup-integrity checks, effect estimates, uncertainty, guardrails, practical significance, and a bounded recommendation. Use for experimentation responsibility and produce test_results. Requires real observation/data evidence for a measured conclusion; without it return insufficient_evidence. Do not invent sample sizes, conversions, p-values, confidence intervals, power, guardrail values, or declare a winner from a plan alone.
- License
- MIT
- Instructions
- 33 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- contract.md · references/
SKILL.md (first lines)
# A/B test analysis Satisfy an `experimentation` responsibility by producing `test_results`. ## Inputs Require an experiment definition/hypothesis plus actual control/treatment observations or a durable statistical result source. Prefer the corresponding `experiment_plan` and raw/aggregated observation references. ## Procedure 1. Read [references/contract.md](references/contract.md). 2. Reconstruct the preregistered primary metric, guardrails, split, duration, MDE/sample plan, and decision criteria when available. 3. Check setup integrity: sample counts, exposure, SRM/randomization evidence, duration/cycle coverage, peeking/multiple-comparison concerns, and data completeness. 4. Analyze the supplied metric using an appropriate declared method. Preserve raw inputs and calculation provenance. 5. Separate statistical uncertainty from practical/product significance. 6. Evaluate guardrails and important segment heterogeneity without fishing for an unplanned winner. 7. Return `ship`, `investigate`, `extend`, `stop`, `do_not_ship`, or `insufficient_evidence` as an analysis recommendation only. 8. If the recommendation is `investigate` or `extend`, name the unresolved evidence need. Do not treat that recommendation as automatic warrant for another experiment; a continuation experiment must pass Experiment Economy again. 9. Return control; no rollout/external action is authorized. ## Boundary ```text statistical significance != product value recommendation != rollout authority extend recommendation != experiment warrant investigate recommendation != experiment warrant experiment plan != observed result ``` Returned evidence may justify reassessment; it does not self-authorize experiment continuation.
From ThorStarlord/sensemaking-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 7
- Last commit (this folder)
- Sep 21, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
ab-test-analysis skill. Agent Mart. https://agentmart.dev/skills/thorstarlord-ab-test-analysis (last updated 2026-10-24)