react-perf

react-perf is a skill for Claude Code, Codex from tonyghiani/ai-essentials. It costs 66 tokens per session (757 once invoked), scanned A, original, MIT.

A React performance review guide for finding slow rendering in components and lists. It focuses on causes that can be measured or checked in the code.

In plain words
What is it for?
Use it when a React interface feels slow or jerky, when components render again unexpectedly, or when reviewing memo, useMemo, useCallback, state, context, and effects.
Why use it?
It helps avoid guessing that memoisation will fix a slow interface. It directs attention to larger causes, such as rendering too much data, misplaced work, or unnecessary state updates.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when a React interface feels slow or jerky, when components render again unexpectedly, or when reviewing memo, useMemo, useCallback, state, context, and effects.

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Install with agentmods
npx agentmods add skills/tonyghiani/ai-essentials/react-perf
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 tonyghiani/ai-essentials --skill react-perf
Clone the repo
git clone --depth 1 https://github.com/tonyghiani/ai-essentials

Made for: Claude Code, 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-perf

README.md
[![agentmods](https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/react-perf/github.svg)](https://agentmods.dev/skills/tonyghiani/ai-essentials/react-perf)
Your own site
<a href="https://agentmods.dev/skills/tonyghiani/ai-essentials/react-perf"><img src="https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/react-perf/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-perf

Your own site · 80×15
<a href="https://agentmods.dev/skills/tonyghiani/ai-essentials/react-perf"><img src="https://agentmods.dev/badge/skills/tonyghiani/ai-essentials/react-perf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 757 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 original No closer match found 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 $0.00066 $0.00757
Opus 5.5 $0.00026 $0.00303
Sonnet 5.5 $0.00013 $0.00151
Haiku 4.5 $0.00007 $0.00076

Measured 1mo ago against content hash e3bded5c584e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

react-perf 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.

skills/react-perf/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React render perf audit

Most React perf advice is cargo cult. This skill only reports things with a plausible mechanism and a way to confirm.

Order of operations

Do not skip to memoisation. Work down this list; the earlier items are where real wins live.

1. Are you rendering too much data? A 5,000-row table with no virtualisation dwarfs every other cause. Look for unbounded .map() over server data, missing pagination, and lists without windowing.

2. Is the work in the wrong place? Expensive computation in a component body that runs on every parent render, when it could be computed once at the data layer, on the server, or in the query's select.

3. Is state too high in the tree? State in a common ancestor forces siblings to re-render. Moving it down, or splitting a context, removes the render instead of memoising it. Prefer this over memo.

4. Is a context value unstable? A provider whose value is a fresh object every render re-renders every consumer, and memo on consumers won't help. useMemo the value; that's referential stability, a real reason.

5. Are effects causing extra render passes? State set in an effect means render → commit → set → render again. react-patterns covers this; derived-in-render removes the second pass entirely.

6. Only now: memoisation. And only with an answer to "what re-render does this prevent, and why does that render cost enough to matter?"

Reporting rules

For each finding, give:

  • file:line
  • The mechanism: what triggers the render, what re-renders as a result
  • Estimated impact: how many components, how often
  • The fix, in the house style
  • How to confirm it: React DevTools Profiler flame chart, <Profiler> onRender timings, or a Performance panel recording

If you can't name the mechanism, don't report it. "This could be memoised" is not a finding.

Severity:

  • Critical: unbounded render work, or a render loop
  • Important: an unstable context or provider value, state too high causing wide re-renders
  • Minor: a genuinely expensive computation that could be memoised

Read the full file on GitHub · 56 lines

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. 1mo ago First seen · 56 lines · 66 tokens per session scan A e3bded5c584e

Subscribe to this mod's changes

react-perf is a skill published in the GitHub repository tonyghiani/ai-essentials (7 stars, last pushed 19d ago), licensed MIT. It adds 66 tokens to every session and 757 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

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