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 beel-collab/presets.dev --skill react-component-performancegit clone --depth 1 https://github.com/beel-collab/presets.devWrote 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/beel-collab/presets.dev/react-component-performance)<a href="https://agentmods.dev/skills/beel-collab/presets.dev/react-component-performance"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/react-component-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/skills/beel-collab/presets.dev/react-component-performance"><img src="https://agentmods.dev/badge/skills/beel-collab/presets.dev/react-component-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 | $0.00011 | $0.01227 |
| Opus 5.5 | $0.00004 | $0.00491 |
| Sonnet 5.5 | $0.00002 | $0.00245 |
| Haiku 4.5 | $0.00001 | $0.00123 |
Grade A, and why
react-component-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.
This is a copy
91% identical to react-component-performance — 19 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Component Performance
Overview
Identify render hotspots, isolate expensive updates, and apply targeted optimizations without changing UI behavior.
When to Use
- When the user asks to profile or improve a slow React component.
- When you need to reduce re-renders, list lag, or expensive render work in React UI.
Workflow
- Reproduce or describe the slowdown.
- Identify what triggers re-renders (state updates, props churn, effects).
- Isolate fast-changing state from heavy subtrees.
- Stabilize props and handlers; memoize where it pays off.
- Reduce expensive work (computation, DOM size, list length).
- Validate: open React DevTools Profiler → record the interaction → inspect the Flamegraph for components rendering longer than ~16 ms → compare against a pre-optimization baseline recording.
Checklist
- Measure: use React DevTools Profiler or log renders; capture baseline.
- Find churn: identify state updated on a timer, scroll, input, or animation.
- Split: move ticking state into a child; keep heavy lists static.
- Memoize: wrap leaf rows with
memoonly when props are stable. - Stabilize props: use
useCallback/useMemofor handlers and derived values. - Avoid derived work in render: precompute, or compute inside memoized helpers.
- Control list size: window/virtualize long lists; avoid rendering hidden items.
- Keys: ensure stable keys; avoid index when order can change.
- Effects: verify dependency arrays; avoid effects that re-run on every render.
- Style/layout: watch for expensive layout thrash or large Markdown/diff renders.
Optimization Patterns
Isolate ticking state
Move a timer or animation counter into a child so the parent list never re-renders on each tick.
// ❌ Before – entire parent (and list) re-renders every second
function Dashboard({ items }: { items: Item[] }) {
const [tick, setTick] = useState(0);
useEffect(() => {
const id = setInterval(() => setTick(t => t + 1), 1000);
return () => clearInterval(id);
}, []);
return (
<>
<Clock tick={tick} />
<ExpensiveList items={items} /> {/* re-renders every second */}
</>
);
}
// ✅ After – only <Clock> re-renders; list is untouched
function Clock() {
const [tick, setTick] = useState(0);
useEffect(() => {
const id = setInterval(() => setTick(t => t + 1), 1000);
return () => clearInterval(id);
}, []);
return <span>{tick}s</span>;
}
function Dashboard({ items }: { items: Item[] }) {
return (
<>
<Clock />
<ExpensiveList items={items} />
</>
);
}
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 · 141 lines · 11 tokens per session scan A 2978c62ad5a5
react-component-performance is a skill published in the GitHub repository beel-collab/presets.dev (3 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 1,227 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to react-component-performance, differing in 19 lines, and is treated as a copy.
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