performance-profiler

performance-profiler is a skill for Claude Code, Codex from OneWave-AI/ClaudeCodeUnleashed. It costs 33 tokens per session (1,085 once invoked), scanned A, a copy of performance-profiler, MIT.

A method for measuring where an application spends time, memory, network activity, or rendering work. It covers web metrics, bundle size, and React component profiling.

In plain words
What is it for?
Investigating slow pages, large web bundles, rendering delays, memory problems, and expensive React components.
Why use it?
It replaces guesses about slowness or memory leaks with measurements that identify the likely bottleneck before and after changes.

Skill for Claude CodeCodex

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

Good fit Investigating slow pages, large web bundles, rendering delays, memory problems, and expensive React components.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/onewave-ai/claudecodeunleashed/performance-profiler
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 OneWave-AI/ClaudeCodeUnleashed --skill performance-profiler
Clone the repo
git clone --depth 1 https://github.com/OneWave-AI/ClaudeCodeUnleashed

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 performance-profiler

README.md
[![agentmods](https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/performance-profiler/github.svg)](https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/performance-profiler)
Your own site
<a href="https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/performance-profiler"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/performance-profiler/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 performance-profiler

Your own site · 80×15
<a href="https://agentmods.dev/skills/onewave-ai/claudecodeunleashed/performance-profiler"><img src="https://agentmods.dev/badge/skills/onewave-ai/claudecodeunleashed/performance-profiler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,085 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 100% 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 $0.00033 $0.01085
Opus 5.5 $0.00013 $0.00434
Sonnet 5.5 $0.00007 $0.00217
Haiku 4.5 $0.00003 $0.00109

Measured 1mo ago against content hash e4072b6db7ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

performance-profiler 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.

Origin

This is a copy

100% identical to performance-profiler — 0 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.

assets/starter-skills/performance-profiler/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Performance Profiler

Instructions

When profiling performance:

  1. Identify the bottleneck type: Network, rendering, memory, or compute
  2. Measure baseline before optimizing
  3. Profile with appropriate tools
  4. Apply optimizations
  5. Measure improvement

Web Performance

Core Web Vitals

# Lighthouse CLI
npx lighthouse https://yoursite.com --view

# With specific metrics
npx lighthouse https://yoursite.com --only-categories=performance

Target Metrics:

Metric Good Needs Work Poor
LCP (Largest Contentful Paint) < 2.5s 2.5-4s > 4s
INP (Interaction to Next Paint) < 200ms 200-500ms > 500ms
CLS (Cumulative Layout Shift) < 0.1 0.1-0.25 > 0.25

Bundle Analysis

# Next.js
ANALYZE=true npm run build

# Webpack
npx webpack-bundle-analyzer stats.json

# Vite
npx vite-bundle-visualizer

React Performance

React DevTools Profiler

  1. Install React DevTools browser extension
  2. Open DevTools → Profiler tab
  3. Click Record, interact with app, stop recording
  4. Analyze flame graph for slow components

Common React Optimizations

// 1. Memoize expensive components
const MemoizedList = React.memo(function List({ items }) {
  return items.map(item => <Item key={item.id} {...item} />);
});

// 2. Use useMemo for expensive calculations
const sortedItems = useMemo(() => {
  return [...items].sort((a, b) => a.name.localeCompare(b.name));
}, [items]);

// 3. Use useCallback for stable function references
const handleClick = useCallback((id: string) => {
  setSelected(id);
}, []);

// 4. Virtualize long lists
import { FixedSizeList } from 'react-window';

function VirtualList({ items }) {
  return (
    <FixedSizeList
      height={400}
      itemCount={items.length}
      itemSize={50}
      width="100%"
    >
      {({ index, style }) => (
        <div style={style}>{items[index].name}</div>
      )}
    </FixedSizeList>
  );
}

// 5. Lazy load components
const HeavyComponent = React.lazy(() => import('./HeavyComponent'));

function App() {
  return (
    <Suspense fallback={<Loading />}>
      <HeavyComponent />
    </Suspense>
  );
}

Read the full file on GitHub · 182 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 · 182 lines · 33 tokens per session scan A e4072b6db7ba

Subscribe to this mod's changes

performance-profiler is a skill published in the GitHub repository OneWave-AI/ClaudeCodeUnleashed (5 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 1,085 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to performance-profiler, differing in 0 lines, and is treated as a copy.

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