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 taurgis/sfcc-dev-mcp --skill sfcc-performancegit clone --depth 1 https://github.com/taurgis/sfcc-dev-mcpWrote 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/taurgis/sfcc-dev-mcp/sfcc-performance)<a href="https://agentmods.dev/skills/taurgis/sfcc-dev-mcp/sfcc-performance"><img src="https://agentmods.dev/badge/skills/taurgis/sfcc-dev-mcp/sfcc-performance.svg" alt="Measured on agentmods" 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 | $0.00043 | $0.04539 |
| Opus 5 | $0.00022 | $0.02269 |
| Sonnet 5 | $0.00009 | $0.00908 |
| Haiku 4.5 | $0.00004 | $0.00454 |
Grade A, and why
sfcc-performance 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 8d 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 — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Salesforce B2C Commerce Cloud: Performance Best Practices
This document outlines key performance optimization strategies for Salesforce B2C Commerce Cloud, focusing on caching and efficient data retrieval.
Performance and Stability Coding Standards
Ecommerce applications built on Salesforce B2C Commerce can run fast and perform reliably. Use B2C Commerce within its capabilities and ensure that your customizations follow coding best practices. Identify permissible designs that ensure the scalability and robustness of your customizations.
Data Transfer Volume
B2C Commerce imposes limits on incoming and outgoing network traffic for B2C Commerce instances and the Content Delivery Network.
These limits are relative to the Gross Merchandise Value (GMV) and are defined in the Main Subscription Agreement (MSA). Data transfers within the limits are at no additional charge (are included in the subscription fee). There is a fee for data transfers exceeding the limits.
Storefront Development for Performance and Stability
When developing your storefront, consider storefront development best practices:
Search and Product Processing
-
Don't post-process product or content search results. Search results can be large sets. Instead, all search criteria must go into the query for efficiency execution. Don't post-process with custom code.
-
Don't iterate over variations of a base product on a search result page (or any page where multiple base products appear). This approach can significantly increase the number of touched business objects. Instead, use native Salesforce B2C Commerce features:
- Use pipelet Search with input parameter
OrderableProductsOnlyto deal with variation product availability - Use
dw.catalog.ProductSearchHit.getRepresentedVariationValues()to determine available variation values - Use
dw.catalog.ProductSearchHit.minPriceorProduct.priceMode.minPriceto determine price ranges
- Use pipelet Search with input parameter
-
Break search results into pages before processing or displaying in the storefront (pipelet Paging, class PagingModel). Limit the maximum page size, for example, a maximum of 120 products per page, especially if the "View All" functionality is provided.
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.
- 8d ago First seen · 425 lines · 43 tokens per session scan A 0621a09fc0de
sfcc-performance is a skill published in the GitHub repository taurgis/sfcc-dev-mcp (27 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 4,539 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.
Other skills, from other repositories
nebula-logger-plugin-development
Use this skill when the user wants to build a new plugin that extends Nebula Logger - for example, custom trigger handlers on LogEntryEvente / Logc / LogEntryc, custom purge actions, or Slack-style outbound integrations. Covers the plugin framework interfaces, LoggerPluginmdt configuration, package layout, and testing…
seller-research
Use when researching a merchant, storefront, marketplace seller, or merchant of record for a buying decision, especially when identity, refund terms, fulfillment, counterfeit risk, domain history, or independent buyer outcomes are uncertain.
nebula-logger-install
Use this skill when the user wants to install and configure Nebula Logger in a Salesforce org for the first time. Covers package selection, installation paths, permissions, LoggerSettingsc hierarchy, and first-run troubleshooting.
nebula-logger-best-practices
Use this skill when the user wants to review, harden, or standardize Nebula Logger usage across a Salesforce team. Covers operational logging standards, environment-aware settings, limit-aware design, and governance guardrails.
scraperapi-price-monitoring
Use this skill whenever the user wants to check, track, or be alerted about product prices on Amazon, Walmart, or via Google Shopping. Trigger on: "monitor the price of this Amazon product", "did the price drop on [Walmart URL]?", "track these ASINs", "compare today's prices to last week", "alert me if [product] goes…
dsers-mcp-product-py
Automate DSers product import from AliExpress/Alibaba/1688 to Shopify/Wix/WooCommerce. Use when the user wants to import, edit, price, or push dropshipping products to their store via DSers. (Python version — TypeScript version is primary).