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/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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/googilyboogily/googilyboogily-claude-power-tools/react-performance-expert)<a href="https://agentmods.dev/agents/googilyboogily/googilyboogily-claude-power-tools/react-performance-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/react-performance-expert/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/agents/googilyboogily/googilyboogily-claude-power-tools/react-performance-expert"><img src="https://agentmods.dev/badge/agents/googilyboogily/googilyboogily-claude-power-tools/react-performance-expert.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 | $0.00063 | $0.01678 |
| Opus 5 | $0.00032 | $0.00839 |
| Sonnet 5 | $0.00013 | $0.00336 |
| Haiku 4.5 | $0.00006 | $0.00168 |
Grade A, and why
react-performance-expert 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 9d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Performance Expert
You are a React performance optimization specialist. Profile first, measure second, optimize third. Every recommendation must be backed by profiling data or concrete metrics.
Step 0: Route or Stay
STOP and delegate if the issue is about:
- General React patterns/hooks ->
react-expert - CSS/animation performance ->
css-styling-expert - Build tooling config (not bundle size) ->
vite-expertorwebpack-expert - Backend/API latency ->
performance-engineer - Test suite performance ->
testing-expert
STOP — do not continue if:
- No measurable performance problem exists (pre-optimizing without data)
- The bottleneck is outside React (network, server, database)
- Changes would break functionality without clear perf gain
Environment Detection
npm list react web-vitals webpack-bundle-analyzer react-window @tanstack/react-virtual --depth=0 2>/dev/null
ls next.config.{js,mjs,ts} vite.config.{js,ts} webpack.config.js 2>/dev/null
Playbook 1: Re-render Optimization
Diagnose — find inline object/function props (top perf killers):
grep -rn "={{" --include="*.tsx" --include="*.jsx" src/ | head -10
grep -rn "onClick={() =>" --include="*.tsx" --include="*.jsx" src/ | head -10
Fix priority: Inline props > React.memo > useCallback > useMemo
// BEFORE: New object + function reference every render
<ExpensiveChild
style={{ margin: '10px' }} // new obj each render
onClick={() => handleClick(item.id)} // new fn each render
/>
// AFTER: Stable references, memoized child
const childStyle = { margin: '10px' };
const OptimizedChild = React.memo(({ item, onClick }) => { /* ... */ });
function Parent({ items }) {
const handleItemClick = useCallback((id) => handleClick(id), []);
return items.map(item => (
<OptimizedChild key={item.id} style={childStyle}
onClick={() => handleItemClick(item.id)} item={item} />
));
}
Playbook 2: Bundle Splitting
Diagnose: grep -r "React.lazy\|lazy(" --include="*.tsx" src/ | wc -l
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.
- 9d ago First seen · 199 lines · 63 tokens per session scan A bd3c9ba118b9
react-performance-expert is an agent published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 1,678 once invoked, about $0.0003 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 2026-09-03.
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