react-component-performance

react-component-performance is a skill for Codex from tmolavi/mcp-agent-skills-hub. It costs 15 tokens per session (1,217 once invoked), scanned A, a copy of react-component-performance, MIT.

A guide for finding why React components render slowly or render more often than needed. It uses the React DevTools Profiler, which records component timing during interactions.

In plain words
What is it for?
Use it to profile slow React interfaces, reduce unnecessary re-renders, isolate changing state, and apply targeted memoization and component changes.
Why use it?
It helps locate the specific state changes, properties, lists, or calculations causing lag instead of guessing at optimizations.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to profile slow React interfaces, reduce unnecessary re-renders, isolate changing state, and apply targeted memoization and component changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmolavi/mcp-agent-skills-hub/react-component-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 tmolavi/mcp-agent-skills-hub --skill react-component-performance
Clone the repo
git clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hub

Made for: Codex.

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 react-component-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/react-component-performance/github.svg)](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/react-component-performance)
Your own site
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/react-component-performance"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/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.

agentmods 80×15 button for react-component-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/react-component-performance"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/react-component-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,217 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.
Origin 89% copy Near-identical to another mod 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 $0.00015 $0.01217
Opus 5 $0.00008 $0.00609
Sonnet 5 $0.00003 $0.00243
Haiku 4.5 $0.00002 $0.00122

Measured 9d ago against content hash e5ed04f3693f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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.

Origin

This is a copy

89% identical to react-component-performance — 14 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.

skills/react-component-performance/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 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

  1. Reproduce or describe the slowdown.
  2. Identify what triggers re-renders (state updates, props churn, effects).
  3. Isolate fast-changing state from heavy subtrees.
  4. Stabilize props and handlers; memoize where it pays off.
  5. Reduce expensive work (computation, DOM size, list length).
  6. 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 memo only when props are stable.
  • Stabilize props: use useCallback/useMemo for 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} />
    </>
  );
}

Read the full file on GitHub · 140 lines

Files

What ships with it

2 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. 9d ago First seen · 140 lines · 15 tokens per session scan A e5ed04f3693f

Subscribe to this mod's changes

react-component-performance is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 17d ago), licensed MIT. It adds 15 tokens to every session and 1,217 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to react-component-performance, differing in 14 lines, and is treated as a copy.

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