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 agentmods add skills/wake-engineering/ai-plugin/wake-storefront-reference-patternsnpx skills add wake-engineering/ai-plugin --skill wake-storefront-reference-patternsgit clone --depth 1 https://github.com/wake-engineering/ai-pluginWhat 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 | $0.00061 | $0.00682 |
| Opus 5 | $0.00030 | $0.00341 |
| Sonnet 5 | $0.00012 | $0.00136 |
| Haiku 4.5 | $0.00006 | $0.00068 |
Grade A, and why
wake-storefront-reference-patterns 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 yesterday.
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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wake Storefront Reference Patterns
Forbidden: api.fbits.net (and any *.fbits.net). Canonical source: https://wakecommerce.readme.io/docs/schema
Mapping Wake Storefront reference implementations (Queries/, Snippets) to headless Storefront API patterns. Use when migrating from templates or aligning with production query patterns.
When to Use
- Migrating from Wake Storefront reference to headless
- Porting Queries/.graphql or SnippetQueries/.graphql
- Understanding productId vs handle, attributeSelections vs options
- Aligning headless code with production reference
Key Mappings
productId vs handle
| Wake Native (Queries/) | Shopify-like (src/graphql/) | Notes |
|---|---|---|
| productId (Long) | id, handle | Wake uses Long IDs; no handle |
| productVariantId (Long) | variant id | Wake uses Long |
| attributeSelections(selected) | options, selectedOptions | Wake has matrix, selections |
Rule: Target native Wake schema first. If reference uses Shopify-like layer, map to native (productId, productVariantId) for Storefront API calls.
attributeSelections
Reference uses attributeSelections(selected: $selections) with AttributeFilterInput. Pass { attributeId, value } per attribute. Resolves selectedVariant. See wake-product-variants skill for detail.
SingleProductData Fragment
Reference Queries often use SingleProductData or similar fragment. Contains: attributeSelections, matrix, selectedVariant, prices, images, customizations, subscriptionGroups. Extract fragment from reference and adapt for headless.
addToCartFromSpot
Wake-specific boolean on product. When true, product supports direct add-to-cart. Use with productVariantId and selections. Not in Shopify schema.
partnerAccessToken
When querying in partner/wholesale context, pass partnerAccessToken to product, search, hotsite. Reference may omit; add for headless when needed.
Reference Structure
| Path | Purpose |
|---|---|
| Queries/*.graphql | Native Wake queries (product, search, hotsite, common, home) |
| SnippetQueries/*.graphql | Checkout, wishlist, shipping, etc. |
| Snippets/ | UI snippets (HTML) |
| src/graphql/ | May use Shopify-like schema; different layer |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 70 lines · 61 tokens per session scan A 954c9c42dab0
wake-storefront-reference-patterns is a skill published in the GitHub repository wake-engineering/ai-plugin (2 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 682 once invoked, about $0.0003 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 2026-08-31.
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