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 SalesforceCommerceCloud/b2c-developer-tooling --skill b2c-querying-datagit clone --depth 1 https://github.com/SalesforceCommerceCloud/b2c-developer-toolingWrote 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/salesforcecommercecloud/b2c-developer-tooling/b2c-querying-data)<a href="https://agentmods.dev/skills/salesforcecommercecloud/b2c-developer-tooling/b2c-querying-data"><img src="https://agentmods.dev/badge/skills/salesforcecommercecloud/b2c-developer-tooling/b2c-querying-data/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/salesforcecommercecloud/b2c-developer-tooling/b2c-querying-data"><img src="https://agentmods.dev/badge/skills/salesforcecommercecloud/b2c-developer-tooling/b2c-querying-data.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 | $0.00108 | $0.02349 |
| Opus 5.5 | $0.00043 | $0.00940 |
| Sonnet 5.5 | $0.00022 | $0.00470 |
| Haiku 4.5 | $0.00011 | $0.00235 |
Grade A, and why
b2c-querying-data 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 21d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Querying Data in B2C Commerce
Efficient data querying is critical for storefront performance and job stability. B2C Commerce provides index-backed search APIs and database query APIs—choosing the right one for each use case avoids performance problems.
Product Search (Storefront)
Use ProductSearchModel for all storefront product searches. It is index-backed and designed for high-traffic pages.
Basic Product Search
var ProductSearchModel = require('dw/catalog/ProductSearchModel');
var psm = new ProductSearchModel();
psm.setCategoryID('electronics');
psm.setOrderableProductsOnly(true); // Only in-stock products
psm.setSearchPhrase('laptop');
psm.search();
var hits = psm.getProductSearchHits();
while (hits.hasNext()) {
var hit = hits.next();
var productID = hit.productID;
var minPrice = hit.minPrice;
var maxPrice = hit.maxPrice;
}
hits.close();
Paging Search Results
Always page results—never load the full result set:
var ProductSearchModel = require('dw/catalog/ProductSearchModel');
var PagingModel = require('dw/web/PagingModel');
var psm = new ProductSearchModel();
psm.setCategoryID('mens-clothing');
psm.setOrderableProductsOnly(true);
psm.search();
var pagingModel = new PagingModel(psm.getProductSearchHits(), psm.count);
pagingModel.setPageSize(12);
pagingModel.setStart(0); // page offset
var pageElements = pagingModel.pageElements;
while (pageElements.hasNext()) {
var hit = pageElements.next();
// Render product tile
}
Getting Variation Data from Search Hits
Use ProductSearchHit methods instead of loading full product objects:
// GOOD: Get variation info from the search hit (index-backed)
var representedColors = hit.getRepresentedVariationValues('color');
var representedIDs = hit.getRepresentedProductIDs();
var minPrice = hit.getMinPrice();
var maxPrice = hit.getMaxPrice();
// BAD: Loading the full product and iterating variants (database-intensive)
var product = hit.product;
var variants = product.getVariants(); // Expensive!
var priceModel = product.getPriceModel(); // Expensive!
What ships with it
2 files 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.
- 21d ago Changed 3a5a1aac36cd
- 1mo ago First seen · 290 lines · 108 tokens per session scan A 5908b8b8d320
b2c-querying-data is a skill published in the GitHub repository SalesforceCommerceCloud/b2c-developer-tooling (56 stars, last pushed today), licensed Apache-2.0. It adds 108 tokens to every session and 2,349 once invoked, about $0.0004 per session on Opus 5.5. 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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