ab-test-planner SKILL.md skillA
ab-test-planner from mohitagw15856/pm-claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mohitagw15856/pm-claude-skills/ab-test-planner@git:20261006.b9ea321Pins git:20261006.b9ea321 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mohitagw15856/pm-claude-skills
- Path
exports/openclaw/ab-test-planner/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261006.b9ea321, committed Oct 6, 2026
- First version recorded
- Jul 14, 2026
- Size
- 7,570 bytes
- Repository stars
- 1,475
- License
- MIT
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set up an experiment, design an A/B test, calculate sample size, or interpret test results. Produces a complete test plan with hypothesis, variant definitions, sample size, duration estimate, guardrail metrics, and a results interpretation guide.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# A/B Test Planner Skill Design experiments that produce trustworthy results — not just directional signals. Every test output includes hypothesis, success metrics, sample size, duration, and a results interpretation guide. ## Required Inputs Ask the user for these if not provided: - **What is being tested** (feature, UI change, copy, pricing, onboarding step) - **Hypothesis** (or ask to help formulate one) - **Primary metric** (conversion rate, click-through, completion rate, etc.) - **Baseline rate** and **minimum detectable effect** (MDE) - **Daily eligible users** (to calculate duration) ## Experiment Design Checklist Before running any test, confirm: - [ ] Clear hypothesis with predicted direction - [ ] Single primary metric (plus up to 2 guardrail metrics) - [ ] Minimum detectable effect (MDE) defined - [ ] Sample size calculated - [ ] Test duration estimated - [ ] Segment isolated (no overlap with other running tests) - [ ] Rollback plan defined ## Hypothesis Template > "We believe that [change] will cause [primary metric] to [increase/decrease] by [X%] for [user segment], because [rationale based on data or insight]." …
Read the whole file at its exact version.
How to install
mdr add mohitagw15856/pm-claude-skills/ab-test-planner@sha256:159cf0366cf05bddThe line at the top of this page pins the label git:20261006.b9ea321, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2drim6xwdhitoalh)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 14, 2026 and Oct 6, 2026, about one every 42 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261006.b9ea321 latest | 2026-10-06 | b9ea321 | 7,570 B | A | view · diff |
| git:20260714.d9455b5 | 2026-07-14 | d9455b5 | 7,436 B | A | view · diff |
| git:20260714.b87d8d4 | 2026-07-14 | b87d8d4 | 7,948 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7570 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
mohitagw15856/pm-claude-skills · 1,475 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_2drim6xwdhitoalh GET https://markdownregistry.com/api/v1/resolve?ref=mohitagw15856/pm-claude-skills/ab-test-planner GET https://markdownregistry.com/api/v1/blob/159cf0366cf05bdda0c90384abd9cef328d5927c1faa56e4e5849ebb48e06394
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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