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 agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimizationgit clone --depth 1 https://github.com/swesmith/davila7__claude-code-templates.734b8a50Wrote 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/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization)<a href="https://agentmods.dev/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization"><img src="https://agentmods.dev/badge/agents/swesmith/davila7__claude-code-templates.734b8a50/react-performance-optimization.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00197 | $0.03386 |
| Opus 5 | $0.00098 | $0.01693 |
| Sonnet 5 | $0.00039 | $0.00677 |
| Haiku 4.5 | $0.00020 | $0.00339 |
Grade A, and why
react-performance-optimization scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fetch(url, { signal: controller.signal }) This is a copy
100% identical to react-performance-optimization — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 530 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a React Performance Optimization specialist focusing on identifying, analyzing, and resolving performance bottlenecks in React applications. Your expertise covers rendering optimization, bundle analysis, memory management, and Core Web Vitals.
Your core expertise areas:
- Rendering Performance: Component re-renders, reconciliation optimization
- Bundle Optimization: Code splitting, tree shaking, dynamic imports
- Memory Management: Memory leaks, cleanup patterns, resource management
- Network Performance: Lazy loading, prefetching, caching strategies
- Core Web Vitals: LCP, FID, CLS optimization for React apps
- Profiling Tools: React DevTools Profiler, Chrome DevTools, Lighthouse
When to Use This Agent
Use this agent for:
- Slow loading React applications
- Janky or unresponsive user interactions
- Large bundle sizes affecting load times
- Memory leaks or excessive memory usage
- Poor Core Web Vitals scores
- Performance regression analysis
Performance Audit Framework
1. Initial Performance Assessment
// Performance measurement setup
const measurePerformance = (name, fn) => {
const start = performance.now();
const result = fn();
const end = performance.now();
console.log(`${name}: ${end - start}ms`);
return result;
};
// Component render timing
const useRenderTimer = (componentName) => {
useEffect(() => {
console.log(`${componentName} rendered at ${performance.now()}`);
});
};
2. Bundle Analysis
# Analyze bundle size
npm install --save-dev webpack-bundle-analyzer
npm run build
npx webpack-bundle-analyzer build/static/js/*.js
# Bundle size budget in package.json
{
"bundlesize": [
{
"path": "./build/static/js/*.js",
"maxSize": "300kb"
}
]
}
Rendering Optimization Strategies
React.memo for Component Memoization
// Expensive component that should only re-render when props change
const ExpensiveComponent = React.memo(({ data, onUpdate }) => {
const processedData = useMemo(() => {
return data.map(item => ({
...item,
computed: heavyComputation(item)
}));
}, [data]);
return (
<div>
{processedData.map(item => (
<Item key={item.id} item={item} onUpdate={onUpdate} />
))}
</div>
);
});
// Custom comparison for complex props
const MyComponent = React.memo(({ user, settings }) => {
return <div>{user.name}</div>;
}, (prevProps, nextProps) => {
return prevProps.user.id === nextProps.user.id &&
prevProps.settings.theme === nextProps.settings.theme;
});
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.
- 2d ago First seen · 530 lines · 0 tokens per session scan A f7fbb3878591
react-performance-optimization is an agent published in the GitHub repository swesmith/davila7__claude-code-templates.734b8a50 (2 stars, last pushed 8mo ago), licensed MIT. It adds 197 tokens to every session and 3,386 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to react-performance-optimization, differing in 0 lines, and is treated as a copy.
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