shopify-admin-discount-ab-analysis

shopify-admin-discount-ab-analysis is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 26 tokens per session (1,781 once invoked), scanned A, original, MIT.

A read-only comparison of two or more Shopify discount codes over a selected date range. It compares how often each code was used and the revenue from those orders; this is a simple way to assess promotional alternatives.

In plain words
What is it for?
Use it to compare discount codes during an A/B test or review which promotion performed better.
Why use it?
It makes competing offers easier to compare without relying on a separate analytics app or manually combining order data. The comparison does not change the store.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex; mentions Gemini CLI.

Part of the shopify-admin-skills plugin — 57 skills shipped together

Good fit Use it to compare discount codes during an A/B test or review which promotion performed better.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis
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 40RTY-ai/shopify-admin-skills --skill shopify-admin-discount-ab-analysis
Clone the repo
git clone --depth 1 https://github.com/40RTY-ai/shopify-admin-skills

Made for: Claude Code.

Or install shopify-admin-skills, the plugin that ships this one along with the rest of its 57 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 shopify-admin-discount-ab-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis/github.svg)](https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis)
Your own site
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis/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 shopify-admin-discount-ab-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,781 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00026 $0.01781
Opus 5 $0.00013 $0.00890
Sonnet 5 $0.00005 $0.00356
Haiku 4.5 $0.00003 $0.00178

Measured 12d ago against content hash 31d688451565, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

shopify-admin-discount-ab-analysis 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 12d 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.

skills/conversion-optimization/shopify-admin-discount-ab-analysis/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Compares how different discount codes perform against each other by redemption count and revenue generated. Useful for A/B testing promotional offers without a dedicated analytics app — provide two or more codes and a date range, and the skill queries Shopify for discount metadata and order revenue, then produces a side-by-side comparison table. Read-only: no mutations are executed.

Prerequisites

  • Authenticated Shopify CLI session: shopify auth login --store <domain>
  • API scopes: read_discounts, read_orders

Parameters

Parameter Type Required Default Description
store string yes Store domain (e.g., mystore.myshopify.com)
format string no human Output format: human or json
dry_run bool no false Preview operations without executing mutations
discount_codes array yes Array of 2 or more discount code strings to compare (e.g., ["SAVE10", "WELCOME15"])
date_range_start string yes Start date in ISO 8601 (e.g., 2025-01-01)
date_range_end string yes End date in ISO 8601 (e.g., 2025-01-31)

Workflow Steps

  1. OPERATION: discountNodes — query Inputs: first: 50, query: "code:<code>" (one query per code in discount_codes) Expected output: Discount metadata: title, code strings, asyncUsageCount, status, startsAt, endsAt per code

  2. OPERATION: orders — query (one paginated query per discount code) Inputs: first: 250, query: "discount_code:<code> created_at:>='<date_range_start>' created_at:<='<date_range_end>'", pagination cursor Expected output: Orders containing the discount code with totalPriceSet; paginate until hasNextPage: false; aggregate: count, sum revenue, compute avg order value

GraphQL Operations

# discountNodes:query — validated against api_version 2025-01
query DiscountNodes($first: Int!, $query: String) {
  discountNodes(first: $first, query: $query) {
    edges {
      node {
        id
        discount {
          ... on DiscountCodeBasic {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            usageLimit
            status
            startsAt
            endsAt
          }
          ... on DiscountCodeBxgy {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            status
          }
          ... on DiscountCodeFreeShipping {
            title
            codes(first: 10) {
              edges {
                node {
                  code
                  asyncUsageCount
                }
              }
            }
            status
          }
        }
      }
    }
  }
}

Read the full file on GitHub · 210 lines

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. 12d ago First seen · 210 lines · 26 tokens per session scan A 31d688451565

Subscribe to this mod's changes

shopify-admin-discount-ab-analysis is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (185 stars, last pushed 28d ago), licensed MIT. It adds 26 tokens to every session and 1,781 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 2026-08-30.

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