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.
npx skills add finsilabs/awesome-ecommerce-skills --skill ab-testing-ecommercegit clone --depth 1 https://github.com/finsilabs/awesome-ecommerce-skillsWrote 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.
[](https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/ab-testing-ecommerce)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/ab-testing-ecommerce"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/ab-testing-ecommerce/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.
<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/ab-testing-ecommerce"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/ab-testing-ecommerce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.02369 |
| Opus 5.5 | $0.00010 | $0.00948 |
| Sonnet 5.5 | $0.00005 | $0.00474 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade A, and why
ab-testing-ecommerce 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A/B Testing for E-commerce
Overview
A/B testing (split testing) runs controlled experiments where a random subset of visitors sees a variant while the rest see the control. Statistical analysis then determines whether any difference is real or due to chance. Good testing disciplines — calculating required sample size before starting, running tests for at least two full weeks, and never stopping early — separate genuine insights from noise.
This skill guides you through running A/B tests on your specific platform, choosing the right tools, and interpreting results correctly.
When to Use This Skill
- When making product page, checkout, or pricing changes and wanting data-driven validation
- When migrating from a client-side A/B testing tool to server-side assignment for accuracy
- When needing statistical power calculations before starting an experiment
- When analyzing experiment results and determining when to ship or kill a variant
- When running a pricing test and needing to ensure consistent pricing per customer
- When wanting to understand what sample size is needed before a test is meaningful
Core Instructions
Step 1: Determine your platform and choose the right testing tool
| Platform | Recommended Tool | Why |
|---|---|---|
| Shopify | Google Optimize (free, sunsetting) → Convert.com or Intelligems | Intelligems is built specifically for Shopify and supports pricing tests with sticky assignment; Convert integrates via Shopify's theme |
| Shopify (pricing tests) | Intelligems | The only tool that does true server-side price testing on Shopify without flickering |
| WooCommerce | Nelio A/B Testing plugin or Google Optimize | Nelio integrates natively with WordPress/WooCommerce; tracks WooCommerce conversion events automatically |
| BigCommerce | Convert.com or VWO (via script injection) | Both integrate via the BigCommerce storefront script manager |
| Custom / Headless | LaunchDarkly (feature flags + experiments) or build with GrowthBook (open source) | Server-side assignment with no flickering; GrowthBook is free and self-hostable |
What ships with it
7 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.
- evals/exposure-tracking-conversion-tracking-an/criteria.json 2.5 KB
- evals/exposure-tracking-conversion-tracking-an/task.md 2.0 KB
- evals/pricing-test-consistency-guardrail-metri/criteria.json 2.8 KB
- evals/pricing-test-consistency-guardrail-metri/task.md 2.1 KB
- evals/sample-size-calculation-and-server-side-/criteria.json 2.9 KB
- evals/sample-size-calculation-and-server-side-/task.md 1.9 KB
- tile.json 233 B
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.
- 1mo ago First seen · 206 lines · 26 tokens per session scan A bc69809a9b1e
ab-testing-ecommerce is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (60 stars, last pushed 5d ago), licensed MIT. It adds 26 tokens to every session and 2,369 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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