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-pricinggit 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-pricing)<a href="https://agentmods.dev/skills/finsilabs/awesome-ecommerce-skills/ab-testing-pricing"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/ab-testing-pricing/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-pricing"><img src="https://agentmods.dev/badge/skills/finsilabs/awesome-ecommerce-skills/ab-testing-pricing.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 | $0.00028 | $0.02605 |
| Opus 5 | $0.00014 | $0.01303 |
| Sonnet 5 | $0.00006 | $0.00521 |
| Haiku 4.5 | $0.00003 | $0.00261 |
Grade A, and why
ab-testing-pricing 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 9d 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 — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A/B Testing Pricing
Overview
Price A/B testing lets you run controlled experiments — showing one price to a segment of visitors and a different price to another — before committing to a permanent change. This is one of the highest-leverage optimizations available, but also one of the riskiest: a poorly executed test destroys customer trust and produces misleading data. Most platforms do not have native price A/B testing, so this requires either a dedicated app or a custom implementation. This skill walks you through setting up price experiments correctly on each major platform.
When to Use This Skill
- When you need data-driven evidence for a price change before rolling it out site-wide
- When testing price sensitivity across different customer segments or product categories
- When evaluating the revenue impact of a new pricing model (e.g., switching from $49.99 to $45.00)
- When running multiple concurrent price experiments on different products without interference
- When regulatory or ethical requirements demand that price tests are documented, time-limited, and reversible
Core Instructions
Step 1: Determine the merchant's platform and choose the right approach
| Platform | Recommended Tool | Why |
|---|---|---|
| Shopify | Intelligems or Neat A/B Testing app | Native Shopify apps that handle price variant assignment, session stickiness, and statistical reporting without custom code |
| Shopify Plus | Intelligems + Shopify Functions | Shopify Functions allow server-side price overrides — the most reliable approach on Plus |
| WooCommerce | Nelio A/B Testing plugin or Split Hero | WordPress-native experiment plugins with WooCommerce price testing support |
| BigCommerce | Intelligems (supports BigCommerce) or Google Optimize alternatives | BigCommerce's Price Lists API can set variant-specific prices per customer segment |
| Custom / Headless | Build with your own session bucketing + platform pricing API | Full control but requires custom statistical tracking |
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/conversion-event-tracking-and-variant-id/criteria.json 2.8 KB
- evals/conversion-event-tracking-and-variant-id/task.md 1.8 KB
- evals/database-schema-and-deterministic-varian/criteria.json 2.8 KB
- evals/database-schema-and-deterministic-varian/task.md 1.7 KB
- evals/statistical-significance-calculation-and/criteria.json 2.7 KB
- evals/statistical-significance-calculation-and/task.md 1.9 KB
- tile.json 241 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.
- 9d ago First seen · 236 lines · 28 tokens per session scan A b502efd5ae22
ab-testing-pricing is a skill published in the GitHub repository finsilabs/awesome-ecommerce-skills (52 stars, last pushed 6mo ago), licensed MIT. It adds 28 tokens to every session and 2,605 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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