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.
git clone --depth 1 https://github.com/wangqiqi/cursor-ai-rulesWrote 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/rules/wangqiqi/cursor-ai-rules/react-advanced-performance)<a href="https://agentmods.dev/rules/wangqiqi/cursor-ai-rules/react-advanced-performance"><img src="https://agentmods.dev/badge/rules/wangqiqi/cursor-ai-rules/react-advanced-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.
<a href="https://agentmods.dev/rules/wangqiqi/cursor-ai-rules/react-advanced-performance"><img src="https://agentmods.dev/badge/rules/wangqiqi/cursor-ai-rules/react-advanced-performance.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00638 |
| Opus 5.5 | $0.00000 | $0.00255 |
| Sonnet 5.5 | $0.00000 | $0.00128 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
react-advanced-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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React 性能优化 (Performance)
本规则由
@react-advanced引用
React.memo 和 useMemo
const TodoItem = memo(({ todo, onToggle, onDelete }) => (
<div className={`todo-item ${todo.completed ? 'completed' : ''}`}>
<input type="checkbox" checked={todo.completed} onChange={() => onToggle(todo.id)} />
<span>{todo.title}</span>
<button onClick={() => onDelete(todo.id)}>删除</button>
</div>
))
const TodoList = ({ todos, onToggle, onDelete }) => {
const filteredTodos = useMemo(() => todos.filter(t => !t.completed), [todos])
const handleToggle = useCallback((id) => onToggle(id), [onToggle])
const handleDelete = useCallback((id) => onDelete(id), [onDelete])
return (
<ul>
{filteredTodos.map(todo => (
<TodoItem key={todo.id} todo={todo} onToggle={handleToggle} onDelete={handleDelete} />
))}
</ul>
)
}
虚拟化列表
import { FixedSizeList as List } from 'react-window'
const VirtualizedTodoList = ({ todos, onToggle, onDelete }) => {
const Row = ({ index, style }) => (
<div style={style}>
<TodoItem todo={todos[index]} onToggle={onToggle} onDelete={onDelete} />
</div>
)
return (
<List height={400} itemCount={todos.length} itemSize={50} width="100%">
{Row}
</List>
)
}
代码分割和懒加载
import { Suspense, lazy } from 'react'
const Home = lazy(() => import('./pages/Home'))
const About = lazy(() => import('./pages/About'))
function App() {
return (
<Suspense fallback={<div>加载中...</div>}>
<Routes>
<Route path="/" element={<Home />} />
<Route path="/about" element={<About />} />
</Routes>
</Suspense>
)
}
状态管理优化 (Zustand 选择器)
const useFilteredTodos = () => useStore(state => state.filteredTodos())
const useTodoActions = () => useStore(state => ({
addTodo: state.addTodo,
toggleTodo: state.toggleTodo
}), shallow)
原则
- NEVER 在 render 中创建新函数(用 useCallback)
- MUST 对列表项使用 memo
- MUST 对昂贵计算使用 useMemo
引用: @react-advanced
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.
- 1mo ago First seen · 96 lines · 0 tokens per session scan A 9ebce2c5a7f0
react-advanced-performance is a cursor rule published in the GitHub repository wangqiqi/cursor-ai-rules (17 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 638 tokens. 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 cursor rules, from other repositories
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Create detailed components with these requirements.
state-management
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backend
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tanstack-start-guide
TanStack Start best practices emphasizing client-first architecture, type safety, and modern React patterns.
new-component
Workflow for creating new React components.
tanstack-react-router_routing
TanStack Router: Routing.