Measure Experiment Results
product-on-purpose/pm-skills
Documents the results of a completed experiment or A/B test with statistical analysis, learnings, and recommendations.
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
Install Ab Test Analysis
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .claude/skills/ab-test-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .claude/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .agents/skills/ab-test-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .agents/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .cursor/skills/ab-test-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .cursor/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nimrodfisher/data-analytics-skills.git --path 03-data-analysis-investigation/ab-test-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .gemini/skills/ab-test-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .gemini/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .github/skills/ab-test-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .github/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nimrodfisher/data-analytics-skills ab-test-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/03-data-analysis-investigation/ab-test-analysis .opencode/skills/ab-test-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ab-test-analysis" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/ab-test-analysis into .opencode/skills/ab-test-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ab-test-analysis- GitHub stars
- 468
- Token cost
- ~708 tokens
- SKILL.md length
- 337 words
- Files
- 4 (incl. scripts, references, assets)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
- Works in 6 steps: Confirm test design — verify the… → Check for sample ratio mismatch (SRM) —… → Calculate per-variant metrics — compute… → …
- Analyzing experiment results
- Runs Python scripts from its folder
- Calculating statistical significance
What it does
Ab Test Analysis is an agent skill from nimrodfisher/data-analytics-skills. Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/ab_test_report_template.md`, `references/ab_test_design_guide.md` and `scripts/ab_test_analyzer.py`).
It sits in Marketing & SEO, covering A/B testing and Statistics. The repository describes itself as: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks. The licence is MIT.
When your agent uses it
- Analyzing experiment results
- Calculating statistical significance
- Checking for sample ratio mismatch
- Validating test design before launch
Example prompts
- “/ab-test-analysis”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Confirm test design — verify the hypothesis, the control and treatment definitions, the randomisation unit (user/session/device), the…
- Check for sample ratio mismatch (SRM) — run a chi-square test on the actual vs. expected split. If SRM is detected, stop and investigate…
- Calculate per-variant metrics — compute the rate (or mean) and 95% confidence interval for the primary metric in each variant. Document…
- Run the significance test — execute a two-proportion z-test (for rates) or Welch's t-test (for means). Record z-score, p-value, and 95% CI…
- Check guardrail metrics — run the same significance test for each guardrail metric. A significant degradation on any guardrail is a…
- Produce the recommendation — synthesise SRM result, power, significance, and guardrail checks into a clear ship / no-ship / extend…
What it can do on your machine
Read from SKILL.md and the folder at commit 9449d36. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ab Test Analysis loads about 708 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 337 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 337 words, ~708 tokens.
Download SKILL.mdSave it as
.claude/skills/ab-test-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- ab-test-analysis
- description
- Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.
A/B Test Analysis
When to use
- An experiment has finished and the team needs a ship / no-ship recommendation
- Results look directionally positive but the team is unsure if they're statistically significant
- A test has been running for weeks without a clear winner and someone needs to decide whether to continue
- A new experiment needs sample-size planning before launch
- Results are disputed and need a rigorous, documented analysis
Process
- Confirm test design — verify the hypothesis, the control and treatment definitions, the randomisation unit (user/session/device), the primary metric, any guardrail metrics, and the target split ratio.
- Check for sample ratio mismatch (SRM) — run a chi-square test on the actual vs. expected split. If SRM is detected, stop and investigate the randomisation pipeline before interpreting results. Use
scripts/ab_test_analyzer.py --check-srm. - Calculate per-variant metrics — compute the rate (or mean) and 95% confidence interval for the primary metric in each variant. Document absolute and relative difference.
- Run the significance test — execute a two-proportion z-test (for rates) or Welch's t-test (for means). Record z-score, p-value, and 95% CI for the effect. Use
references/statistical_tests_reference.mdif unsure which test applies. - Check guardrail metrics — run the same significance test for each guardrail metric. A significant degradation on any guardrail is a blocker regardless of primary metric results.
- Produce the recommendation — synthesise SRM result, power, significance, and guardrail checks into a clear ship / no-ship / extend decision. Quantify the expected business impact if shipped. Record in
assets/ab_test_report_template.md.
Inputs the skill needs
- Test plan or hypothesis document (variant definitions, randomisation unit, primary metric)
- Data with at minimum: user_id, variant assignment, primary metric outcome
- Optional: guardrail metric values per user, daily aggregate data for temporal validity checks
- Target split ratio (e.g., 50/50)
- Minimum detectable effect or business threshold for "worth shipping"
Output
scripts/ab_test_analyzer.py— runs SRM check, significance test, power analysis, and guardrail checks from a CSV or summary stats inputreferences/statistical_tests_reference.md— which test to use and whenreferences/ab_test_design_guide.md— SRM causes, power planning, peeking and multiple testingassets/ab_test_report_template.md— structured report: design, results, checks, recommendation, expected impact
© nimrodfisher, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references, assets) in 03-data-analysis-investigation/ab-test-analysis of nimrodfisher/data-analytics-skills.
- SKILL.md
- assets/ab_test_report_template.md
- references/ab_test_design_guide.md
- scripts/ab_test_analyzer.py
Open the folder on GitHubat commit 9449d36
Compare with similar skills
Ab Test Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ab Test Analysis this skillnimrodfisher/data-analytics-skills | 468 | — | ~708 | Automated safety check: Pass | MIT | |
| Measure Experiment Resultsproduct-on-purpose/pm-skills | 715 | — | ~989 | Automated safety check: Pass | Apache-2.0 | |
| Mkt Experimentevolution-foundation/evo-nexus | 545 | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| A/B Test Analysisphuryn/pm-skills | 27k | — | ~893 | Automated safety check: Pass | MIT | |
| Experimentai-analyst-lab/ai-analyst | 304 | — | ~2k | Automated safety check: Pass | MIT | |
| Statistical Analystalirezarezvani/claude-skills | 28k | — | ~2.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Ab Test Analysis
What does Ab Test Analysis do?
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills. Ab Test Analysis is an agent skill from nimrodfisher/data-analytics-skills. Rigorous A/B test statistical analysis.
When should I use Ab Test Analysis?
Ab Test Analysis fits situations like: analyzing experiment results; calculating statistical significance; checking for sample ratio mismatch; validating test design before launch.
How do I install Ab Test Analysis in Claude Code?
Run `npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a claude-code`. Or copy the skill folder (03-data-analysis-investigation/ab-test-analysis in nimrodfisher/data-analytics-skills) into .claude/skills/ab-test-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Ab Test Analysis in Codex?
Run `npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a codex`. Or copy the skill folder (03-data-analysis-investigation/ab-test-analysis in nimrodfisher/data-analytics-skills) into .agents/skills/ab-test-analysis in your project. Codex loads it when a task matches its description.
Can I use Ab Test Analysis in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nimrodfisher/data-analytics-skills --skill ab-test-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ab-test-analysis, .gemini/skills/ab-test-analysis, .github/skills/ab-test-analysis and .opencode/skills/ab-test-analysis in your project.
What does Ab Test Analysis need to run?
Going by SKILL.md and its folder, Ab Test Analysis needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Ab Test Analysis access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ab Test Analysis safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Ab Test Analysis use?
Ab Test Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ab Test Analysis use?
About 708 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 822 tokens, read only when the agent opens those files.
What are the alternatives to Ab Test Analysis?
Skills that share tags, products or a category with Ab Test Analysis: Measure Experiment Results (product-on-purpose/pm-skills, 715 stars), Mkt Experiment (evolution-foundation/evo-nexus, 545 stars), A/B Test Analysis (phuryn/pm-skills, 27k stars) and Experiment (ai-analyst-lab/ai-analyst, 304 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ab Test Analysis?
nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 468 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 25, 2026.
Source: nimrodfisher/data-analytics-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.