shopify-admin-discount-roi-calculator

shopify-admin-discount-roi-calculator is a skill for Claude Code from 40RTY-ai/shopify-admin-skills. It costs 32 tokens per session (1,699 once invoked), scanned A, original, MIT.

A read-only calculator for measuring how worthwhile Shopify discount codes and automatic discounts were. It compares extra revenue with discount cost and examines orders, average order value, customer acquisition, and sales that may have happened without a discount.

In plain words
What is it for?
Use it to evaluate discount performance over a chosen lookback period, with optional minimum-use and output-format settings.
Why use it?
A discount can increase orders while reducing profit or replacing full-price sales. This helps separate genuinely useful promotions from discounts that mainly reduce revenue.

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 evaluate discount performance over a chosen lookback period, with optional minimum-use and output-format settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-roi-calculator
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-roi-calculator
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-roi-calculator

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-roi-calculator"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-discount-roi-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,699 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 $0.00032 $0.01699
Opus 5 $0.00016 $0.00849
Sonnet 5 $0.00006 $0.00340
Haiku 4.5 $0.00003 $0.00170

Measured 13d ago against content hash ebe8215298ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

shopify-admin-discount-roi-calculator 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 13d 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-roi-calculator/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Evaluates the true return on investment for each discount code and automatic discount by measuring revenue generated, number of orders, average order value with vs. without discount, customer acquisition attributed to discounts, and whether discounted orders cannibalized full-price sales. Goes beyond discount-hygiene-cleanup (which finds broken/unused codes) to answer "was this discount worth it?" Read-only — no mutations.

Prerequisites

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

Parameters

Parameter Type Required Default Description
store string yes Store domain
days_back integer no 90 Lookback window
min_uses integer no 3 Minimum uses for a discount to be analyzed
format string no human Output format: human or json

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

  1. OPERATION: discountNodes — query Inputs: first: 250, select discount details (title, code, type, value, usageCount, startsAt, endsAt), pagination cursor Expected output: All discount codes and automatic discounts

  2. Filter to discounts with usageCount >= min_uses and active within lookback window

  3. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>' discount_code:<code>", first: 250 for each active discount code, select totalPriceSet, totalDiscountsSet, subtotalPriceSet, customer { id, numberOfOrders }, pagination cursor Expected output: All orders using each discount

  4. Also query orders WITHOUT any discount in same period for baseline AOV comparison

  5. For each discount, calculate:

    • Total Discount Cost = Σ(totalDiscountsSet for orders with this code)
    • Revenue Generated = Σ(totalPriceSet for orders with this code)
    • Discounted AOV = revenue / orders
    • Baseline AOV = AOV of non-discounted orders in same period
    • AOV Lift/Drop = discounted AOV - baseline AOV
    • New Customer % = orders where customer.numberOfOrders == 1 / total
    • Gross ROI = (revenue - discount_cost) / discount_cost × 100
    • Cannibalization Risk = high if discount AOV < baseline AOV and new customer % < 20%

Read the full file on GitHub · 193 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. 13d ago First seen · 193 lines · 32 tokens per session scan A ebe8215298ce

Subscribe to this mod's changes

shopify-admin-discount-roi-calculator is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 29d ago), licensed MIT. It adds 32 tokens to every session and 1,699 once invoked, about $0.0002 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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