Agent skill

Inclusive Experiment Analysis

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments.

MITAuto-check passedMarketing & SEO

Install Inclusive Experiment Analysis

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill inclusive-experiment-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins inclusive-experiment-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/inclusive-experiment-analysis .claude/skills/inclusive-experiment-analysis && rm -rf skills-src

Use ~/.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/

Facts

Skill name
inclusive-experiment-analysis
GitHub stars
1.3k
Token cost
~863 tokens
SKILL.md length
245 words
Files
6 (incl. references)
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments.

  • Works in 6 steps: Identify which user groups could… → Choose dimensions that are relevant,… → Check test/control balance for important… → …
  • Checking whether an experiment benefits
  • SKILL.md covers Source Traceability, Related Advanced Skills, Reference Routing and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Inclusive Experiment Analysis is an agent skill from hashgraph-online/awesome-codex-plugins. Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments. Use when checking whether an experiment benefits or harms different user groups, planning segmentation dimensions, auditing test/control balance, interpreting subgroup effects, or reviewing product changes for inclusive experimentation.

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 Accessibility. 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.

When your agent uses it

  • Checking whether an experiment benefits
  • Harms different user groups
  • Planning segmentation dimensions
  • Auditing test/control balance

Example prompts

  • “/inclusive-experiment-analysis”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Identify which user groups could experience the change differently.
  2. Choose dimensions that are relevant, ethical, and available.
  3. Check test/control balance for important dimensions when possible.
  4. Include accessibility, bandwidth, device, privacy, geography, and usage-level
  5. Analyze subgroup outcomes without cherry-picking.
  6. Recommend launch, mitigation, follow-up testing, or deeper research.

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. 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

    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.

  • 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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Inclusive Experiment Analysis loads about 863 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 245 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~863
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 245 words, ~863 tokens.

Download SKILL.mdSave it as .claude/skills/inclusive-experiment-analysis/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
inclusive-experiment-analysis
description
Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments. Use when checking whether an experiment benefits or harms different user groups, planning segmentation dimensions, auditing test/control balance, interpreting subgroup effects, or reviewing product changes for inclusive experimentation.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
Inclusive Experiment Analysis
metadata.category
Product Management
metadata.tags
practical-ab-testing,ab-testing,experimentation,inclusive-design,product-analytics

Inclusive Experiment Analysis

Use this skill to make sure experiment design and readouts consider the range of users affected by a product change. It focuses on subgroup impact, accessibility, representation, data dimensions, and unintended harm.

Source Traceability

Primary source: Practical A/B Testing by Leemay Nassery. Guidance is transformed and paraphrased from chapter 1 lines 719-912 and related subgroup analysis context from lines 639-718. Metric and eligibility context comes from chapter 2 lines 1564-1735.

  • trustworthy-experiment-insights: use when subgroup findings may be underpowered, false positives, or false negatives.
  • experiment-verification-monitoring: use when inclusion risks depend on assignment, exposure, device, geography, accessibility, or segment monitoring.
  • adaptive-experimentation-strategy: use cautiously when contextual bandits or personalization could create uneven user impact across groups.

Reference Routing

NeedRead
Inclusive experiment conceptsreferences/core/knowledge.md
Design and analysis rulesreferences/core/rules.md
Segment examplesreferences/core/examples.md
Review workflowworkflows/review-inclusive-impact.md

Workflow

  1. Identify which user groups could experience the change differently.
  2. Choose dimensions that are relevant, ethical, and available.
  3. Check test/control balance for important dimensions when possible.
  4. Include accessibility, bandwidth, device, privacy, geography, and usage-level concerns where relevant.
  5. Analyze subgroup outcomes without cherry-picking.
  6. Recommend launch, mitigation, follow-up testing, or deeper research.

Output Format

markdown
# Inclusive Experiment Review

## Change Under Review
[What is changing and who may be affected.]

## User Dimensions
| Dimension | Why It Matters | Data Available? | Use In Analysis? |
|-----------|----------------|-----------------|------------------|

## Balance And Impact
| Segment | Control | Test | Result | Concern |
|---------|---------|------|--------|---------|

## Risks
- Accessibility:
- Device or bandwidth:
- Privacy or consent:
- Representation:
- Data limitations:

## Recommendation
[Ship | Ship with mitigation | Do not ship | Investigate] because [reason].

Quality Bar

  • Do not use sensitive attributes casually; explain why a dimension is needed.
  • Do not claim inclusive impact when the data lacks relevant representation.
  • Do not average away harm to a meaningful subgroup.
  • Pair quantitative subgroup analysis with qualitative or accessibility review when metrics cannot capture the risk.

© 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

Files

SKILL.md and 5 other files (references) in plugins/LVTD-LLC/skills/skills/inclusive-experiment-analysis of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • guidelines.md
  • references/core/examples.md
  • references/core/knowledge.md
  • references/core/rules.md
  • workflows/review-inclusive-impact.md

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Inclusive Experiment 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.

Inclusive Experiment Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Inclusive Experiment Analysis this skillhashgraph-online/awesome-codex-plugins1.3k—~863Automated safety check: PassMIT
LaunchAuditbuildfastwithai/gen-ai-experiments785—~1.8kAutomated safety check: PassMIT
Autoresearchericosiu/ai-marketing-skills3.6k2 repos~2.2kAutomated safety check: PassMIT
Landing Optimizeraaron-he-zhu/aaron-marketing-skills2.9k—~3.3kAutomated safety check: PassApache-2.0
Custom Product Pagesappeeky/aso-skills2.2k—~1.7kAutomated safety check: PassMIT
Ads CreativeAgriciDaniel/claude-ads9.9k—~308Automated safety check: PassMIT

Similar skills

  • LaunchAudit

    buildfastwithai/gen-ai-experiments

    Audits a startup, app or landing page from a URL, localhost, repository, screenshots or copy, then gives a launch-readiness verdict, prioritized fixes and an HTML report.

    785 GitHub stars~1.8k tokensUpdated 17 days ago
    Marketing & SEOAuto-check passed
  • Autoresearch

    ericosiu/ai-marketing-skills

    Run Karpathy-style autoresearch optimization on any content.

    3.6k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed
  • Landing Optimizer

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "optimize our landing page for influencer traffic", "fix our promo-code landing page", or "improve conversion from a creator campaign"; produces a…

    2.9k GitHub stars~3.3k tokensUpdated today
    Marketing & SEOAuto-check passed
  • Custom Product Pages

    appeeky/aso-skills

    When the user wants to design, deploy, or measure Apple Custom Product Pages (CPP) — the alternate App Store product pages with different screenshots, preview videos, and promo text shown to users…

    2.2k GitHub stars~1.7k tokensUpdated 3 days ago
    Marketing & SEOAuto-check passed
  • Ads Creative

    AgriciDaniel/claude-ads

    Audit paid-ad copy, images, video, hooks, concepts, format coverage, platform-native fit, message match, creative fatigue, accessibility, and policy across supported platforms.

    9.9k GitHub stars~308 tokensUpdated 2 days ago
    Marketing & SEOAuto-check passed
  • Cro Methodology

    wondelai/skills

    Audit websites and landing pages for conversion issues and design evidence-based A/B tests.

    2.4k GitHub stars~4.3k tokensUpdated 29 days ago
    Marketing & SEOAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 716 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.3k GitHub stars~922 tokensUpdated today
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.3k GitHub stars~1k tokensUpdated today
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.3k GitHub stars~1.7k tokensUpdated today
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.3k GitHub stars~2.4k tokensUpdated today
    Auto-check passed
  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.3k GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.3k GitHub stars~618 tokensUpdated today
    Auto-check passed

Questions about Inclusive Experiment Analysis

What does Inclusive Experiment Analysis do?

Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments. Inclusive Experiment Analysis is an agent skill from hashgraph-online/awesome-codex-plugins. Evaluate A/B tests for inclusive product impact across user groups, accessibility needs, device constraints, privacy behavior, bandwidth, geography, and underrepresented segments.

When should I use Inclusive Experiment Analysis?

Inclusive Experiment Analysis fits situations like: checking whether an experiment benefits; harms different user groups; planning segmentation dimensions; auditing test/control balance.

How do I install Inclusive Experiment Analysis in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill inclusive-experiment-analysis -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/inclusive-experiment-analysis in hashgraph-online/awesome-codex-plugins) into .claude/skills/inclusive-experiment-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Inclusive Experiment Analysis in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill inclusive-experiment-analysis -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/inclusive-experiment-analysis in hashgraph-online/awesome-codex-plugins) into .agents/skills/inclusive-experiment-analysis in your project. Codex loads it when a task matches its description.

Can I use Inclusive Experiment 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 hashgraph-online/awesome-codex-plugins --skill inclusive-experiment-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/inclusive-experiment-analysis, .gemini/skills/inclusive-experiment-analysis, .github/skills/inclusive-experiment-analysis and .opencode/skills/inclusive-experiment-analysis in your project.

What does Inclusive Experiment Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Inclusive Experiment Analysis is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Inclusive Experiment 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 Inclusive Experiment 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. Review the folder before installing.

What licence does Inclusive Experiment Analysis use?

Inclusive Experiment Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Inclusive Experiment Analysis use?

About 863 tokens (SKILL.md is roughly 3.5k 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 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Inclusive Experiment Analysis?

Skills that share tags, products or a category with Inclusive Experiment Analysis: LaunchAudit (buildfastwithai/gen-ai-experiments, 785 stars), Autoresearch (ericosiu/ai-marketing-skills, 3.6k stars), Landing Optimizer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Custom Product Pages (appeeky/aso-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Inclusive Experiment Analysis?

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.