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-customer-acquisition-cost-by-sourcegit 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-customer-acquisition-cost-by-source)<a href="https://agentmods.dev/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-acquisition-cost-by-source"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-acquisition-cost-by-source/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-customer-acquisition-cost-by-source"><img src="https://agentmods.dev/badge/skills/40rty-ai/shopify-admin-skills/shopify-admin-customer-acquisition-cost-by-source.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 | $0.00039 | $0.01638 |
| Opus 5 | $0.00019 | $0.00819 |
| Sonnet 5 | $0.00008 | $0.00328 |
| Haiku 4.5 | $0.00004 | $0.00164 |
Grade A, and why
shopify-admin-customer-acquisition-cost-by-source 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Estimates customer acquisition cost (CAC) for each traffic source by combining the number of new-customer orders attributed to a landing page / referrer with a configurable ad spend input per source. Output answers: "for every dollar spent on source X, how many new customers did we acquire and at what unit cost?" Read-only — no mutations. Provides the data foundation for paid-media budget reallocation.
Prerequisites
- Authenticated Shopify CLI session:
shopify store auth --store <domain> --scopes read_orders,read_customers - API scopes:
read_orders,read_customers
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain (e.g., mystore.myshopify.com) |
| days_back | integer | no | 30 | Lookback window for orders to attribute |
| ad_spend | object | no | {} | Map of source name → spend in store currency, e.g. {"google": 4500, "meta": 3200, "tiktok": 1800} |
| new_customers_only | bool | no | true | Count only first-order customers as "acquired" |
| min_orders_per_source | integer | no | 5 | Minimum orders for a source to be reported |
| format | string | no | human | Output format: human or json |
Safety
ℹ️ Read-only skill — no mutations are executed. Safe to run at any time. Ad spend values are caller-provided; this skill does not pull from any ad platform.
Workflow Steps
-
OPERATION:
orders— query Inputs:query: "created_at:>='<NOW - days_back days>'",first: 250, selectcustomer { id, numberOfOrders },customerJourneySummary { firstVisit { landingPage referrerUrl source } },landingPageUrl,referrerUrl,totalPriceSet, pagination cursor Expected output: All orders in the window with referral and customer attribution; paginate untilhasNextPage: false -
Group orders by normalized source. Resolution order:
customerJourneySummary.firstVisit.sourceif present- Else parse domain from
referrerUrl - Else parse
landingPageUrlUTM params (utm_source) - Else bucket as
direct
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 · 175 lines · 39 tokens per session scan A f310028c32b8
shopify-admin-customer-acquisition-cost-by-source is a skill published in the GitHub repository 40RTY-ai/shopify-admin-skills (187 stars, last pushed 28d ago), licensed MIT. It adds 39 tokens to every session and 1,638 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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