React Rerender Audit logo

React Rerender Audit

Community
Innei
react-rerender-audit

Use when a React page re-renders far more than it should — "everything re-renders on every tick", live-data dashboards, Electron/Vite apps that feel heavy under a 1s push stream. Measures render counts from outside the app over CDP (react-scan injected, no source changes), localizes the exact hook that fires, fixes it by lowering state to the consumers instead of sprinkling memo, and locks the result with a Profiler regression test.

Overview

PublisherInnei
RepositorySKILL
Skill namereact-rerender-audit
Stars
81
Forks
2
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Innei on GitHub. Read the source before you install it.

Installation

Install the React Rerender Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Innei/SKILL.git /tmp/SKILL
mkdir -p .claude/skills
cp -r /tmp/SKILL/skills/automation/react-rerender-audit .claude/skills/react-rerender-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Rerender Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads React Rerender Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so React Rerender Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

react-rerender-audit

A page under a live data stream re-renders wholesale: a per-second quote push repaints a chart, a sidebar, a chat dock, and thirty tooltips that consume none of it. The instinct is to scatter memo() and useCallback until the flashing stops. That treats the symptom — the real cause is almost always a single useState sitting too high in the tree, prop-drilled through unmemoized intermediates.

This skill measures first, names the exact hook, then moves state down.

When to use

  • In scope: React 18/19 apps with a push stream (WebSocket, SSE, polling, setInterval), Vite dev server, Electron renderers, browser tabs.
  • Out of scope: slow individual renders (one component taking 300ms) — that is a flamegraph problem, use the DevTools Profiler timeline. Production builds — react-scan and <Profiler> both want dev.

Prerequisites: react-scan importable from the app (a devDependency is enough under Vite), a CDP endpoint, and agent-browser (or any CDP client that can eval a string and return it).

Workflow

text
[0] Frame           steady-state storm or boot storm? they need different rigs
[1] Attach          launch with a remote-debugging port, confirm the target
[2] Count           arm react-scan, sample, rank BY INSTANCE
[3] Localize        re-run filtered on suspects, dump changed props/contexts
[4] Name the hook   diff fiber.memoizedState vs alternate -> hook index
[5] Fix             lower state to consumers; delete the prop chain
[6] Prove           regression test + re-measure the same page

[0] Frame the question first

Sample the settled page for 10s before anything else. Two different bugs hide behind "this page re-renders constantly":

  • Steady-state storm — the idle sample is non-zero. A live stream drives the tree. Inject over CDP after load; everything below applies as written.
  • Boot storm — the idle sample is zero and all the churn is in the first seconds. Injecting after load measures nothing. You must arm the counter before React mounts, which the CDP-injection route cannot do.

For a boot storm, look for an arming point the app already has: a REACT_SCAN=true env flag, a devtools dock toggle, a dev-only entry import. lobe-chat ships REACT_SCAN -> __REACT_SCAN__ -> scan() in src/initialize.ts; restarting dev with that flag arms the instrumentation at boot with zero diff. Failing that, add the collector to the app's entry module temporarily and revert it when the audit is done — react-scan's getReport() does not backfill what happened before it was armed.

[1] Attach

bash
ELECTRON_REMOTE_DEBUGGING_PORT=9222 pnpm dev:desktop   # or: --remote-debugging-port=9222
agent-browser --cdp 9222 get url                       # must be the app URL
agent-browser --cdp 9222 navigate "http://localhost:5173/the/page"

get url returning devtools:// means you attached to the auto-opened DevTools window, not the renderer. Close all targets and reconnect.

[2] Count

The whole method rests on this one script. onRender(fiber, renders) gives both the render count and react-scan's unnecessary flag (props identical to last render — the component was dragged along, it did not need to run).

js
// count.js — pipe with: agent-browser --cdp 9222 eval --stdin < count.js
(async () => {
  const { scan } = await import('/@id/react-scan'); // Vite dev id; else 'react-scan'
  const counts = {};
  scan({ enabled: true, showToolbar: false, onRender(fiber, renders) {
    const name = fiber.type?.displayName || fiber.type?.name ||
      (typeof fiber.type === 'string' ? fiber.type : '?');
    for (const r of renders) {
      const c = (counts[name] ??= { total: 0, unnecessary: 0 });
      c.total++; if (r.unnecessary) c.unnecessary++;
    }
  }});
  await new Promise((r) => setTimeout(r, 10000));
  scan({ enabled: true, showToolbar: true, onRender: undefined });
  const rows = Object.entries(counts).sort((a, b) => b[1].total - a[1].total);
  return rows.length + ' components\n' +
    rows.slice(0, 60).map(([n, c]) => `${c.total}\t${c.unnecessary}\t${n}`).join('\n');
})()

Key by instance, not by name. The snippet above aggregates every <ConfigProvider> in the tree under one row. That is fine for a steady-state stream and actively misleading for a boot storm: it inflates counts, it makes a child look like it renders more often than its parent (React cannot do that), and it hides the most important boot finding of all — the same component mounted twice. Assign each fiber a stable id and key on it:

js
const ids = new WeakMap(); let next = 1;
const idOf = (f) => {
  let id = ids.get(f) ?? (f.alternate && ids.get(f.alternate)) ?? next++;
  ids.set(f, id); if (f.alternate) ids.set(f.alternate, id);   // alternates share one id
  return id;
};
const key = nameOf(fiber) + '#' + idOf(fiber);

Record first/last timestamps per instance too — mount waves are visible in the timestamps long before you understand the cause.

Reading the table. Compare each count against sample seconds × tick rate. A 10s sample under a 1Hz push should show ~10 for the handful of components that display the value, and ~0 for everything else.

ShapeMeaning
A wide band of unrelated components all at the same countOne state owner above them, prop-drilled. Take their common ancestor.
One component 10× the tick rateIts own timer. Look for setInterval per instance.
High total, high unnecessaryDragged along by a parent — a victim, not the cause.
High total, zero unnecessaryIts props really do change every tick — either legitimate, or an object rebuilt upstream.

Chase the ancestor, never the leaves with the biggest numbers.

The other failure class: it is not re-rendering, it is remounting. Group the instance rows by component name. A provider that should be a singleton appearing as two instances, with first-render timestamps in two clusters, means the tree below some point was torn down and rebuilt:

inst=2 renders=9  | MarketAuthProvider   | firstMs=72/215
inst=2 renders=7  | LobeThemeProvider    | firstMs=71/215
inst=2 renders=11 | ElectronAppStateSync | firstMs=72/215

Memo and state-lowering do nothing here. Walk up from the highest duplicated instance to the first ancestor that is NOT duplicated — the remount boundary sits between them, and the cause is a tree-shape change: some component conditionally wraps its children, so a falsy-to-truthy flip inserts a node and React unmounts everything below.

jsx
if (locale) child = <LocaleProvider locale={locale}>{child}</LocaleProvider>;  // antd ConfigProvider

A boot storm hides real costs the render count understates: every provider, every store init, and every fetch below the boundary runs twice.

[3] Localize

Re-run filtered to the suspects and dump react-scan's changes array — which prop or hook it believes changed, with before/after values:

js
scan({ enabled: true, showToolbar: false, onRender(fiber, renders) {
  const name = fiber.type?.displayName || fiber.type?.name;
  if (!['SuspectA', 'SuspectB'].includes(name)) return;
  for (const r of renders) out.push(name + ' ' + JSON.stringify(
    (r.changes || []).map((c) => ({ t: c.type, n: c.name,
      prev: String(c.prevValue).slice(0, 60), next: String(c.nextValue).slice(0, 60) }))));
}});

[4] Name the hook

When the suspect is a large page component (100+ hooks), changes is not enough — ask the fiber directly. Walking memoizedState against alternate.memoizedState gives the hook index that differs, in declaration order, so it maps to a line number.

js
scan({ enabled: true, showToolbar: false, onRender(fiber) {
  if ((fiber.type?.displayName || fiber.type?.name) !== 'SuspectA') return;
  let a = fiber.memoizedState, b = fiber.alternate?.memoizedState, i = 0;
  const diff = [];
  while (a && b) {
    if (a.memoizedState !== b.memoizedState) {
      const isEffect = a.memoizedState && typeof a.memoizedState === 'object' &&
        'tag' in a.memoizedState && 'create' in a.memoizedState;
      if (!isEffect) diff.push(i + ': ' + String(b.memoizedState).slice(0, 40) +
        ' -> ' + String(a.memoizedState).slice(0, 40));
    }
    a = a.next; b = b.next; i++;
  }
  out.push('hooks=' + i + ' changed: ' + diff.join(' | '));
}});

Context reads are not in this list. useContext records into fiber.dependencies, not memoizedState, so a component driven entirely by context shows hooks=0 and no diff. Walk both:

js
let da = fiber.dependencies?.firstContext, db = alt.dependencies?.firstContext, j = 0;
while (da && db) {
  if (da.memoizedValue !== db.memoizedValue)
    ctx[j + ':' + (da.context?.displayName || 'ctx')] = (ctx[...] || 0) + 1;
  da = da.next; db = db.next; j++;
}

A row like hooks=0 ctxChg=EmotionThemeContext=18 says it plainly: nothing this component owns changed, a theme object above it was rebuilt 18 times.

Skip effect hooks (create/tag shape) — their memoizedState churns on every render by design and drowns the signal. hooks=122, changed: 0:... means: of 122 hooks, only the first one moved. Count 122 use* calls down from the top of the component and read that line.

This is the step that ends the argument. Everything before it is correlation.

[5] Fix

Root cause is nearly always state owned above its consumers. The fix is React's own answer, not a memo barrier:

  1. Delete the subscription/state from the page component.
  2. Each leaf that actually displays the value subscribes itself (useLiveQuote(sym) inside TopbarQuote, not passed in).
  3. Delete the whole prop chain. Pass a scalar (live: boolean) if the leaves need to know whether the stream is on.
  4. Derived-value logic that several leaves shared moves into a hook they each call (useLiveBuilt(built, tf, symbol, live)), not into the parent.
  5. Children passed as elements (dock={<Foo />}) need nothing — once the parent stops re-rendering, React skips them for free.
Root causeFix
Page holds useState for a stream, drills it downSubscribe in each consuming leaf
Context value={{ a, b }} rebuilt every renderSplit context, or useMemo the value, or move to an external store
Per-instance setInterval in a widget used N timesOne shared subscribable clock, useSyncExternalStore
Object/array prop rebuilt inline every renderHoist, or derive inside the child from scalars
Conditional wrapper (if (x) child = <W>{child}</W>) flips after an async loadKeep the shape stable — always render the wrapper, pass a fallback value
One giant component subscribing to N stores to run init hooksSplit per concern; each init hook in its own leaf component
Global event subscription in a shared hook (bindI18nStore, a store's subscribe) fires per batchDrop the broad binding; emit one refresh after the batch settles
A hidden pane (<Activity mode="hidden">, a collapsed panel, a display:none tab) mounts its full subtreeThread the existing enabled flag all the way to the leaves — including sibling components the flag never reached

Reach for memo() only when a leaf genuinely receives changing props and is expensive. memo on a component whose parent should not have rendered is a bandage over the real bug.

[6] Prove

Two artifacts, both required.

For a remount, count mounts, not commits. A <Profiler> cannot tell a remount from a re-render; a child with useEffect(() => { mounts++ }, []) can. Assert it stays at 1 across the async transition that used to remount:

tsx
render(<Locale defaultLang="zh-CN"><MountCounter /></Locale>);
expect(mounts).toBe(1);
resolveLocale({ locale: 'zh-cn' });      // the async load that flipped the wrapper
await waitFor(() => expect(getAntdLocale).toHaveBeenCalled());
expect(mounts).toBe(1);                  // was 2 before the fix

Regression test. <Profiler> around the subtree that must not move. Mock the transport, push one message, assert zero commits:

tsx
let dockCommits = 0;
render(<Sidebar live dock={<Profiler id="dock" onRender={() => dockCommits++}><Dock /></Profiler>} />);
dockCommits = 0;                                  // discard mount
act(() => subs[0].onPayload({ quotes: [{ symbol: 'NVDA.US', last: 123.45 }] }));
expect(screen.getByText('$123.45')).toBeTruthy(); // the value did arrive
expect(dockCommits).toBe(0);                      // and nobody else moved

Assert both halves. dockCommits === 0 alone also passes when the feature is broken.

Re-measure. Run count.js again on the same page, same sample length, and report before → after per component. Numbers, not "feels faster".

Assert the page actually loaded before you trust a sample. A boot sample taken from a run that stalled on a skeleton, an error boundary, or a failed request measures the shell and nothing else — and it looks like a clean, small number. Return a loaded flag alongside the counts and refuse any sample where it is false:

js
const loaded = !document.querySelector('[class*=keleton]') && document.body.innerText.length > 500;

Cross-check the component names too: if the user can see a sidebar full of rows and your top-30 is nothing but providers, you measured a different page than the one they are complaining about.

Then ask whether the mounted components are even on screen. Group the instances by mount timestamp; a late wave is usually one list. Resolve each one's DOM node and measure it:

js
const el = domOf(fiber);   // walk fiber.child until stateNode is an Element
const r = el.getBoundingClientRect();
const hidden = r.width === 0 || r.height === 0 || el.offsetParent === null;

72 rows, visible=0 turns a vague "the page is heavy" into a specific bug. Walk that node's DOM ancestors printing display / visibility / box size to find which wrapper hides it, then map that element back to a component (el[Object.keys(el).find(k => k.startsWith('__reactFiber$'))]) to name the owner. Burned once — a local database version mismatch held the app on its skeleton, and a 454-render sample got reported as the fix's before/after when the real boot was 27,000.

<Profiler> vs react-scan

onRender(id, phase, actualDuration, baseDuration, startTime, commitTime) reports commits of the wrapped subtree — not per-component counts, not why. React 19 dropped the old interactions argument.

  • Use react-scan to explore: it enumerates every component and flags unnecessary, with zero source changes.
  • Use Profiler to assert: it is a plain React API, works in vitest, and survives in the repo as a regression guard.
  • Profiler as a fallback explorer: no react-scan available → wrap 4-5 page regions with distinct ids, count commits, bisect into the loser. Coarse, but it needs no tooling.

Profiler is a no-op in production builds unless you alias react-dom/profiling.

Traps

  • Auto-opened DevTools steals the CDP target. Verify with get url first.
  • The Vite dev import specifier is /@id/react-scan; a bare 'react-scan' fails inside an eval'd dynamic import.
  • Restore the toolbar and clear onRender at the end of every script — a live onRender closure keeps accumulating and skews the next sample.
  • Sample the same page state before and after. A page with the stream off (live=false) still re-renders on every tick when the bug is present; that is a diagnosis, not an excuse to switch pages mid-audit.
  • HMR after the fix inflates the first sample by a few renders. Reload, wait, then sample.
  • Effect hooks make step [4] noisy. Filter them, or the real change hides among fifty churning effect objects.
  • getReport() only covers what happened after react-scan was armed. There is no way to recover a boot storm you did not instrument in advance.
  • Anonymous rows (?) are usually context providers, memo, or forwardRef. Stash a sample fiber on the row (c.f = fiber) and read fiber.type.toString().slice(0, 200) afterwards — the first line of source identifies it, then grep the repo for that line.
  • HMR-triggered reloads inflate a sample. Take the before/after numbers from full reloads only, and state which page state you sampled.
  • useTranslation with react-i18next's bindI18nStore: 'added' subscribes every consuming component to every resource-bundle load. An app that lazy- loads namespaces then calls reloadResources re-renders every translated component once per bundle — dozens of full-tree passes with no state of your own changing. The tell: propsSame high, own useState slots unchanged, and the useTranslation state slot ({t,ready,lng,keyPrefix}) changing on nearly every render.
  • A useMemo/useCallback slot (arr[2]) changing every render is a symptom, not a trigger — it means deps are unstable, but something else scheduled the render. Look for the useState/store slot that moved, or for no moved slot at all (then it is context or an external subscription).

Frequently asked questions

What does the React Rerender Audit AI skill do?

Use when a React page re-renders far more than it should — "everything re-renders on every tick", live-data dashboards, Electron/Vite apps that feel heavy under a 1s push stream. Measures render counts from outside the app over CDP (react-scan injected, no source changes), localizes the exact hook that fires, fixes it by lowering state to the consumers instead of sprinkling memo, and locks the result with a Profiler regression test.

Why use React Rerender Audit on TypingMind?

Because you install it once and use it with any model. React Rerender Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install React Rerender Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Innei/SKILL/tree/main/skills/automation/react-rerender-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use React Rerender Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with React Rerender Audit?

As many as you like. As long as a model supports skills, you can use React Rerender Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the React Rerender Audit AI skill free?

It is published on GitHub by Innei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇