mock-shop-starter
AGENTS.md1 starsChanged 2 months agoMITView on GitHub
This storefront is scaffolded from Shopify's Hydrogen skeleton template. See the README for framework-specific details. Use the Shopify AI Toolkit for all Shopify API and platform work. If missing, install it in the agent host per that page (or npx skills add Shopify/shopify-ai-toolkit --list for skill-compatible hosts). Until you link a Shopify store, this project reads mock.shop: a public, auth-free Storefront API backed by fictional stores. It isn't one store but many, each on its own host with its own…
- Reads credentials
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository4 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- .cursor/rules/hydrogen-react-router.mdcCursor rule
- .cursor/rules/mock-shop.mdcCursor rule
- llms.txtllms.txt
The file
We split this AGENTS.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 5
Use the Shopify AI Toolkit for all Shopify API and platform work.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Shopify Hydrogen development
This storefront is scaffolded from Shopify's Hydrogen skeleton template. See the README for framework-specific details.
Use the Shopify AI Toolkit for all Shopify API and platform work. If missing, install it in the agent host per that page (or npx skills add Shopify/shopify-ai-toolkit --list for skill-compatible hosts).
No store yet?
Until you link a Shopify store, this project reads mock.shop: a public, auth-free Storefront API backed by fictional stores. It isn't one store but many, each on its own host with its own catalog.
- The directory at https://mock.shop/llms.txt lists every store with what it sells and its API URL. The default,
mock.shopitself, is apparel basics. - To build against a different store, set
PUBLIC_STORE_DOMAINin.envto that store's host (for examplepets.mock.shop) and leavePUBLIC_STOREFRONT_API_TOKENempty. Each store describes its own catalog athttps://<store>.mock.shop/llms.txt. - Carts work. Checkout is mocked (no payment, no real order). The Customer Account API isn't available, so
/accountroutes error. Products, prices, and inventory are fictional. - Query mock.shop instead of inventing product data or mocking the Storefront API locally. A query written against mock.shop runs unchanged against a real store.
- To connect a real store, run
npx shopify hydrogen linkand thennpx shopify hydrogen env pull.
The full guide is at https://shopify.dev/docs/storefronts/headless/mock-shop.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

