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 40RTY-ai/shopify-admin-skills --skill shopify-admin-discount-ab-analysisgit clone --depth 1 https://github.com/40RTY-ai/shopify-admin-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/40rty-ai/shopify-admin-skills/shopify-admin-discount-ab-analysis)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.01781 |
| Opus 5 | $0.00013 | $0.00890 |
| Sonnet 5 | $0.00005 | $0.00356 |
| Haiku 4.5 | $0.00003 | $0.00178 |
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.
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
-
OPERATION:
discountNodes— query Inputs:first: 50,query: "code:<code>"(one query per code indiscount_codes) Expected output: Discount metadata: title, code strings,asyncUsageCount, status,startsAt,endsAtper code -
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 withtotalPriceSet; paginate untilhasNextPage: 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
}
}
}
}
}
}
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.
- 12d ago First seen · 210 lines · 26 tokens per session scan A 31d688451565
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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