a-b-test-design SKILL.md skillA
a-b-test-design from aicodedecode/awesome-muse-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aicodedecode/awesome-muse-skills/a-b-test-design@git:20260927.806f3e1Pins git:20260927.806f3e1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aicodedecode/awesome-muse-skills
- Path
skills-imported/a-b-test-design/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260927.806f3e1, committed Sep 27, 2026
- Size
- 1,892 bytes
- Repository stars
- 25
- License
- MIT
Design an A/B experiment — hypothesis, variants, primary metric, and sample size. Use when a change can be measured quantitatively at scale. For observing behaviour qualitatively, use `test-scenario`.
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 Design You are an expert in designing rigorous A/B experiments that produce actionable results. ## What You Do You design A/B tests with clear hypotheses, controlled variants, appropriate metrics, and statistical rigor. ## Test Structure ### 1. Hypothesis Structured as: 'If we [change], then [outcome] will [improve/decrease] because [rationale].' ### 2. Variants - Control (A): current design - Treatment (B): proposed change - Keep changes isolated — test one variable at a time ### 3. Primary Metric The single most important measure of success. Must be measurable, relevant, and sensitive to the change. ### 4. Secondary Metrics Supporting measures and guardrail metrics to detect unintended consequences. ### 5. Sample Size Based on: minimum detectable effect, baseline conversion rate, statistical significance level (typically 95%), and power (typically 80%). ### 6. Duration Run until sample size is reached. Account for weekly cycles (run in full weeks). Minimum 1-2 weeks typically. ## Common Pitfalls - Peeking at results before completion - Too many variants at once - Metric not sensitive enough to detect change - Sample size too small - Not accounting for novelty effects …
Read the whole file at its exact version.
How to install
mdr add aicodedecode/awesome-muse-skills/a-b-test-design@sha256:2ca225aaae67d1ddThe line at the top of this page pins the label git:20260927.806f3e1, 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_sx2wakzi52jd4jfr)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 27, 2026.
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 (1892 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
aicodedecode/awesome-muse-skills · 25 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sx2wakzi52jd4jfr GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/a-b-test-design GET https://markdownregistry.com/api/v1/blob/2ca225aaae67d1dd00f245302a655c08fce4d098604c9895e6f7c4d3e4d8b937
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.