sfnext-performance

sfnext-performance is a skill for Claude Code from SalesforceCommerceCloud/b2c-developer-tooling. It costs 217 tokens per session (1,859 once invoked), scanned A, original, Apache-2.0.

A performance guide for Storefront Next shops that covers bundle size checks, image handling, page-load measurement, and progressive streaming.

In plain words
What is it for?
Use it to analyze bundles, optimize images, run Lighthouse audits, measure server and client work, and fetch data in parallel.
Why use it?
It helps find oversized browser files, slow data loading, and rendering delays that can make shop pages feel slow.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the storefront-next plugin — 24 skills shipped together

Good fit Use it to analyze bundles, optimize images, run Lighthouse audits, measure server and client work, and fetch data in parallel.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance
Install

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.

Any agent
npx skills add SalesforceCommerceCloud/b2c-developer-tooling --skill sfnext-performance
Clone the repo
git clone --depth 1 https://github.com/SalesforceCommerceCloud/b2c-developer-tooling

Made for: Claude Code.

Or install storefront-next, the plugin that ships this one along with the rest of its 24 skills.

Wrote 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.

agentmods badge for sfnext-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance/github.svg)](https://agentmods.dev/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance)
Your own site
<a href="https://agentmods.dev/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance"><img src="https://agentmods.dev/badge/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance/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.

agentmods 80×15 button for sfnext-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance"><img src="https://agentmods.dev/badge/skills/salesforcecommercecloud/b2c-developer-tooling/sfnext-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 217 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,859 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00217 $0.01859
Opus 5.5 $0.00087 $0.00744
Sonnet 5.5 $0.00043 $0.00372
Haiku 4.5 $0.00022 $0.00186

Measured 15d ago against content hash 7ada21242208, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sfnext-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 15d 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.

skills/storefront-next/skills/sfnext-performance/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Storefront Next Performance

Performance rules are part of AGENTS.md ("Performance & Data Rules") and detailed in docs/README-PERFORMANCE.md, docs/README-SUSPENSE.md, docs/README-IMAGES.md and docs/README-PERFORMANCE-METRICS.md in your project. This skill is the working summary plus a checklist to run on your own diff: PERFORMANCE-REVIEW-CHECKLIST.md.

Core rules

  1. Server-load data. Await only what SEO, LCP, layout or the HTTP status needs; return promises for the rest (see storefront-next:sfnext-data-fetching).
  2. One <Suspense> per async operation, with a skeleton that reserves the final size. No fallback={null} above the fold unless space is reserved.
  3. Promise identity must be stable across renders: compose in the loader, read from loaderData/props, never Promise.all/.then/new Promise in render, never useMemo around a promise. Escape hatches: useState(() => ...) pinning or useRef re-pinning.
  4. Every use()/<Await> consumer needs a <Suspense> ancestor; otherwise it blocks the first byte of the streamed shell.
  5. Heavy or hidden UI (modals, drawers, dialogs, rich editors) is React.lazy and mounted only while needed.
  6. Shape data in the loader, not in render.
  7. Hints and third-party scripts cost: preconnect only to origins used on every page; load scripts async/defer.

Lazy modals and drawers

import { lazy, Suspense, useState } from 'react';
import { useDeferredUnmount } from '@/hooks/use-deferred-unmount';

const SizeGuide = lazy(() => import('@/components/size-guide').then((m) => ({ default: m.SizeGuide })));

export function SizeGuideButton() {
    const [open, setOpen] = useState(false);
    const mounted = useDeferredUnmount(open); // stays mounted briefly after close for the exit animation
    return (
        <>
            <button onClick={() => setOpen(true)}>Size guide</button>
            {mounted && (
                <Suspense fallback={null}>
                    <SizeGuide open={open} onOpenChange={setOpen} />
                </Suspense>
            )}
        </>
    );
}

Read the full file on GitHub · 103 lines

Files

What ships with it

3 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.

Changes

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.

  1. 15d ago Changed · -30 lines · +161 tokens per session 7ada21242208
  2. 1mo ago First seen · 133 lines · 56 tokens per session scan A cd9f73aa0643

Subscribe to this mod's changes

sfnext-performance is a skill published in the GitHub repository SalesforceCommerceCloud/b2c-developer-tooling (56 stars, last pushed today), licensed Apache-2.0. It adds 217 tokens to every session and 1,859 once invoked, about $0.0009 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 2026-09-03.

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