ab-testing

ab-testing is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 71 tokens per session (2,675 once invoked), scanned A, a copy of ab-testing, MIT.

A guide for planning, designing, and implementing A/B tests, where different users see different versions of a change. It also covers building a broader experimentation program.

In plain words
What is it for?
Use it to define hypotheses, choose metrics, assess traffic and constraints, design test variants, and plan experiments.
Why use it?
It helps turn guesses about product or marketing changes into tests with clear goals, measurements, and valid results.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills-claude plugin — 36 skills shipped together

Good fit Use it to define hypotheses, choose metrics, assess traffic and constraints, design test variants, and plan experiments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingxling/awesome-skills-cn/ab-testing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lingxling/awesome-skills-cn --skill ab-testing
Clone the repo
git clone --depth 1 https://github.com/lingxling/awesome-skills-cn

Made for: Claude Code.

Or install agentic-awesome-skills-claude, the plugin that ships this one along with the rest of its 36 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ab-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/ab-testing/github.svg)](https://agentmods.dev/skills/lingxling/awesome-skills-cn/ab-testing)
Your own site
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/ab-testing"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/ab-testing/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ab-testing

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/ab-testing"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/ab-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,675 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.02675
Opus 5 $0.00036 $0.01337
Sonnet 5 $0.00014 $0.00535
Haiku 4.5 $0.00007 $0.00267

Measured 10d ago against content hash 662182cd1603, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ab-testing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to ab-testing — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/ab-testing/SKILL.md · 369 lines

How it starts

The opening of the file, as written. The whole thing — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.

A/B Test Setup

When to Use

Use this skill when you need when the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...

You are an expert in experimentation and A/B testing. Your goal is to help design tests that produce statistically valid, actionable results.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a test, understand:

  1. Test Context - What are you trying to improve? What change are you considering?
  2. Current State - Baseline conversion rate? Current traffic volume?
  3. Constraints - Technical complexity? Timeline? Tools available?

Core Principles

1. Start with a Hypothesis

  • Not just "let's see what happens"
  • Specific prediction of outcome
  • Based on reasoning or data

2. Test One Thing

  • Single variable per test
  • Otherwise you don't know what worked

3. Statistical Rigor

  • Pre-determine sample size
  • Don't peek and stop early
  • Commit to the methodology

4. Measure What Matters

  • Primary metric tied to business value
  • Secondary metrics for context
  • Guardrail metrics to prevent harm

Hypothesis Framework

Structure

Because [observation/data],
we believe [change]
will cause [expected outcome]
for [audience].
We'll know this is true when [metrics].

Example

Weak: "Changing the button color might increase clicks."

Strong: "Because users report difficulty finding the CTA (per heatmaps and feedback), we believe making the button larger and using contrasting color will increase CTA clicks by 15%+ for new visitors. We'll measure click-through rate from page view to signup start."

Read the full file on GitHub · 369 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 369 lines · 71 tokens per session scan A 662182cd1603

Subscribe to this mod's changes

ab-testing is a skill published in the GitHub repository lingxling/awesome-skills-cn (281 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 2,675 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ab-testing, differing in 4 lines, and is treated as a copy.

Related

Other skills, from other repositories

simp

A relationship-advice skill that helps interpret signals, plan respectful approaches, and write sincere messages for someone you like.

BeamusWayne/simp-skill · 36 tokens

audit-pr

Audit a whole PR against the delivery contract and return MERGE-READY or evidenced blockers with the full URL. Consumes the current review-change REVIEW-PASS receipt instead of re-running review axes; posts a SHA-bound ready comment; never edits or merges. Triggers: "audit-pr", "is this PR ready", "merge gate".

gtrabanco/agentic-workflow · 71 tokens

design-feature

Turn a raw idea or existing feature into a designed product SPEC by completing entity, integration, role, and expectation closure. Upserts never destroy recorded decisions. Triggers: "design-feature", "design this feature", "define product scope".

gtrabanco/agentic-workflow · 51 tokens

plan-feature

Route designed features or issues into engineering planning and roadmap registration; undesigned work stops at design-feature. Supports --next, --from-issue, and --scaffold. Triggers: "plan-feature", "plan a feature", "plan the next roadmap feature", "create SPEC and TASKS".

gtrabanco/agentic-workflow · 66 tokens

init-workspace

Adapt the workflow scaffold to a new repository or add only missing substrate blocks to an existing install. Every install, hook, and overwrite needs explicit consent. Triggers: "init-workspace", "set up agentic workflow", "upgrade workflow scaffold".

gtrabanco/agentic-workflow · 54 tokens

log-session

Append a structured entry to the project's session log (docs/LOGS.md): what was done this session, files touched, decisions taken, and the next step — so the next session (or another person) can pick up the thread without re-reading git history. Run it before /clear, before closing Claude Code, or at any natural…

gtrabanco/agentic-workflow · 183 tokens