Review Experiment Results
harness/harness-skills
Explain Harness FME experiment results: winner determination, statistical significance, guardrail metric impact, and data-quality caveats (low sample size, missing data).
Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins ab-test-results-readout --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .claude/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .claude/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readoutType 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 hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins ab-test-results-readout --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .agents/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .agents/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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 hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins ab-test-results-readout --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .cursor/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .cursor/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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/hashgraph-online/awesome-codex-plugins.git --path plugins/LVTD-LLC/skills/skills/ab-test-results-readout--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 hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins ab-test-results-readout --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .gemini/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .gemini/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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 hashgraph-online/awesome-codex-plugins ab-test-results-readoutInstalls 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 hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .github/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .github/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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 hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins ab-test-results-readout --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/ab-test-results-readout .opencode/skills/ab-test-results-readout && 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-results-readout" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/LVTD-LLC/skills/skills/ab-test-results-readout into .opencode/skills/ab-test-results-readout/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ab-test-results-readout", 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.
ab-test-results-readoutAnalyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations.
Ab Test Results Readout is an agent skill from hashgraph-online/awesome-codex-plugins. Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. Use when interpreting experiment results, preparing an A/B test report, explaining flat or mixed results, checking guardrails, segmenting test/control data, or turning experiment data into a product decision.
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `guidelines.md`, `references/core/examples.md` and `references/core/knowledge.md`). Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.
It sits in Marketing & SEO, covering A/B testing and Data cleaning. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Codex, Claude Code, and other Agent Skills-compatible clients.
From compatibility in the SKILL.md frontmatter.
Ab Test Results Readout loads about 859 tokens when it runs, and up to ~2.2k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 250 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.
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); files beside SKILL.md are not scanned.
The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 250 words, ~859 tokens.
.claude/skills/ab-test-results-readout/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Use this skill to turn experiment data into a clear decision. It emphasizes metric interpretation, data-quality checks, subgroup analysis, ad hoc analysis, visualization, and launch recommendations.
Primary source: Practical A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from chapter 4 lines 2950-3742 and chapter 1 lines 572-718. Metric tradeoff context comes from chapter 2 lines 1296-1472.
trustworthy-experiment-insights: use when the readout needs false positive,
false negative, power, replication, meta-analysis, or suspicious-lift review.experiment-verification-monitoring: use when result interpretation depends
on whether assignment, exposure, metrics, canaries, or active monitoring were
healthy.long-term-impact-evaluation: use when short-term readout is not enough to
decide durable product or business impact.| Need | Read |
|---|---|
| Readout concepts | references/core/knowledge.md |
| Analysis and reporting rules | references/core/rules.md |
| Example readouts | references/core/examples.md |
| Step-by-step report workflow | workflows/prepare-results-readout.md |
# A/B Test Results Readout
## Executive Decision
[Ship | Stop | Iterate | Investigate] because [reason].
## Test Summary
- Hypothesis:
- Population:
- Control:
- Test:
- Run window:
## Metric Results
| Metric | Role | Control | Test | Change | Interpretation |
|--------|------|---------|------|--------|----------------|
## Segment Findings
| Segment | What changed | Decision impact |
|---------|--------------|-----------------|
## Data Quality Notes
- Eligibility/exposure:
- Missing data:
- Outliers:
- Instrumentation concerns:
## Recommendation
- Decision:
- Rollout conditions:
- Follow-up analysis:© hashgraph-online, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in plugins/LVTD-LLC/skills/skills/ab-test-results-readout of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
Ab Test Results Readout 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 Results Readout this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~859 | Automated safety check: Pass | MIT | |
| Review Experiment Resultsharness/harness-skills | 115 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| AnalyticsNexus-JPF/note-companion | 870 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| App Analyticsappeeky/aso-skills | 2.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Ab Test Analysisnimrodfisher/data-analytics-skills | 470 | — | ~708 | Automated safety check: Pass | MIT | |
| Ab Testingericrisco/rsc-harness | 180 | — | ~2.4k | Automated safety check: Pass | MIT |
harness/harness-skills
Explain Harness FME experiment results: winner determination, statistical significance, guardrail metric impact, and data-quality caveats (low sample size, missing data).
Nexus-JPF/note-companion
When the user wants to set up, improve, or audit analytics tracking and measurement.
appeeky/aso-skills
When the user wants to set up, interpret, or improve their app analytics and tracking.
nimrodfisher/data-analytics-skills
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
ericrisco/rsc-harness
A skill your agent uses when designing or analyzing a controlled experiment — falsifiable hypothesis, sample size from an MDE, reading significance/CI/power, CUPED, or rescuing tests that won't go…
andreaskelm/pm-brain
Design and run product experiments at a practical PM level — A/B tests, hypothesis tests, rollouts, feature flags, and reading results without pretending to be a statistician.
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hashgraph-online/awesome-codex-plugins
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hashgraph-online/awesome-codex-plugins
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Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations. Ab Test Results Readout is an agent skill from hashgraph-online/awesome-codex-plugins. Analyze and communicate A/B test results with metric readouts, subgroup analysis, data-quality checks, ad hoc investigation, visualization, and launch recommendations.
Ab Test Results Readout fits situations like: interpreting experiment results; preparing an A/B test report; explaining flat; checking guardrails.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/ab-test-results-readout in hashgraph-online/awesome-codex-plugins) into .claude/skills/ab-test-results-readout in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/ab-test-results-readout in hashgraph-online/awesome-codex-plugins) into .agents/skills/ab-test-results-readout in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill ab-test-results-readout -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-results-readout, .gemini/skills/ab-test-results-readout, .github/skills/ab-test-results-readout and .opencode/skills/ab-test-results-readout in your project.
SKILL.md names no scripts, command-line tools or credentials: Ab Test Results Readout is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..
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.
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. Review the folder before installing.
Ab Test Results Readout is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 859 tokens (SKILL.md is roughly 3.4k 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 1.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ab Test Results Readout: Review Experiment Results (harness/harness-skills, 115 stars), Analytics (Nexus-JPF/note-companion, 870 stars), App Analytics (appeeky/aso-skills, 2.2k stars) and Ab Test Analysis (nimrodfisher/data-analytics-skills, 470 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.