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ab-testing

ab-testing is a skill for Claude Code from iamwaqargulzar/Marketing-Agent-OS. It costs 27 tokens per session (851 once invoked), scanned A, a copy of impeccable, Apache-2.0.

A skill for planning controlled marketing experiments in which different versions are compared. A/B testing usually means showing two variants to similar users and measuring a chosen outcome.

In plain words
What is it for?
Use it to design experiments for marketing changes, select primary and guardrail metrics, estimate sample or traffic needs, check implementation, and decide what result means.
Why use it?
It helps prevent experiments from producing ambiguous results by defining the hypothesis, success metric, safety limits, traffic assumptions, quality checks, and decision rules first.

Skill for Claude Code

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

Part of the marketing-agent-os plugin — 175 skills shipped together

not rated 8repo changed 22d ago A scan 27 tokens copy · 63% Apache-2.0

Good fit Use it to design experiments for marketing changes, select primary and guardrail metrics, estimate sample or traffic needs, check implementation, and decide what result means.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iamwaqargulzar/marketing-agent-os/ab-testing
View source ↗ iamwaqargulzar/Marketing-Agent-OS
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 iamwaqargulzar/Marketing-Agent-OS --skill ab-testing
Clone the repo
git clone --depth 1 https://github.com/iamwaqargulzar/Marketing-Agent-OS

Made for: Claude Code.

Or install marketing-agent-os, the plugin that ships this one along with the rest of its 175 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/iamwaqargulzar/marketing-agent-os/ab-testing/github.svg)](https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/ab-testing)
Your own site
<a href="https://agentmods.dev/skills/iamwaqargulzar/marketing-agent-os/ab-testing"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/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/iamwaqargulzar/marketing-agent-os/ab-testing"><img src="https://agentmods.dev/badge/skills/iamwaqargulzar/marketing-agent-os/ab-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 851 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 63% 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 $0.00027 $0.00851
Opus 5.5 $0.00011 $0.00340
Sonnet 5.5 $0.00005 $0.00170
Haiku 4.5 $0.00003 $0.00085

Measured 22d ago against content hash 9c4de978e697, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 22d 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

63% identical to impeccable — 316 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.

skills/ab-testing/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ab Testing

Quick Start

Use this skill for ab testing. Start from the user’s concrete objective and available evidence; do not substitute generic marketing advice for task-specific analysis.

Skill Contract

  • Reads: user-provided context; relevant project files; .agents/product-marketing.md when present; approved public or connected data sources.
  • Writes: recommendations and artifacts in the response by default. Persistent file/account changes require explicit request or authorization.
  • Evidence: label consequential claims as measured, user-provided, calculated, estimated, or proxy. Never upgrade uncertainty silently.
  • Side effects: do not publish, send, spend, delete, mutate accounts, or persist registry truth without user authorization.
  • Freshness: verify current platform rules, search eligibility, ad policies, model/tool capabilities, laws, pricing, and other time-sensitive claims before acting.

Instructions

  1. Define the exact ab testing objective, audience/scope, constraints and success metric before recommending action.
  2. Load shared product-marketing context when it materially changes the answer; ask only for missing facts that block a decision.
  3. Collect the minimum evidence needed for ab testing. Distinguish direct observations from assumptions and proxies.
  4. Execute the ab testing analysis or artifact using the domain checklist below; prefer specific outputs over generic best-practice lists.
  5. Prioritize actions by impact, confidence, effort and dependency. Identify what would falsify important assumptions.
  6. For external side effects, publishing, sending, spend changes, account changes or persistent writes, obtain authorization first.
  7. Finish with decision-ready output, evidence labels, open loops, and no more than three next-best skills.

Experiment interpretation

Plan the randomization unit, eligible traffic, exposure, allocation, outcome window, and stopping rule before starting. For each arm, estimate collection days as required participants / (daily eligible participants × exposure fraction × allocation fraction); the slowest arm sets duration. Repeated pageviews are not new participants.

Read the full file on GitHub · 80 lines

Files

What ships with it

4 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. 22d ago Changed · +6 lines 9c4de978e697
  2. 2mo ago First seen · 74 lines · 27 tokens per session scan A 1c521b28f57e

Subscribe to this mod's changes

ab-testing is a skill published in the GitHub repository iamwaqargulzar/Marketing-Agent-OS (8 stars, last pushed 3d ago), licensed Apache-2.0. It adds 27 tokens to every session and 851 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 63% identical to impeccable, differing in 316 lines, and is treated as a copy.

Analytics and metricsClaude CodeMarketing and SEOaeoagent-skillsai-agentsampanswer-engine-optimization
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