web-performance

web-performance is a skill for Codex from san-npm/skills-ws. It costs 64 tokens per session (3,336 once invoked), scanned A, original, MIT.

A guide to making websites and web apps load faster and respond more quickly. It covers Core Web Vitals, browser and server work, caching, asset loading, bundle analysis, and real-user measurement.

In plain words
What is it for?
Use it to investigate LCP, INP, and CLS, set performance budgets, improve image and font loading, reduce JavaScript work, tune caching, and measure performance from real visitors.
Why use it?
It helps identify why pages render slowly, respond late to input, or shift while loading, then suggests ways to measure and fix those problems.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to investigate LCP, INP, and CLS, set performance budgets, improve image and font loading, reduce JavaScript work, tune caching, and measure performance from real visitors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/san-npm/skills-ws/web-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 san-npm/skills-ws --skill web-performance
Clone the repo
git clone --depth 1 https://github.com/san-npm/skills-ws

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 web-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/san-npm/skills-ws/web-performance/github.svg)](https://agentmods.dev/skills/san-npm/skills-ws/web-performance)
Your own site
<a href="https://agentmods.dev/skills/san-npm/skills-ws/web-performance"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/web-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 web-performance

Your own site · 80×15
<a href="https://agentmods.dev/skills/san-npm/skills-ws/web-performance"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/web-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,336 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00064 $0.03336
Opus 5.5 $0.00026 $0.01334
Sonnet 5.5 $0.00013 $0.00667
Haiku 4.5 $0.00006 $0.00334

Measured 2mo ago against content hash 1928fa6b1fa4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

web-performance scanned grade A with 1 finding 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 2mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -so /dev/null -w '%{size_download}' https://example.com
skills/web-performance/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Performance

Core Web Vitals

Metric Good Needs Work Poor What it measures
LCP ≤2.5s ≤4.0s >4.0s Largest visible content render
INP ≤200ms ≤500ms >500ms Input responsiveness
CLS ≤0.1 ≤0.25 >0.25 Visual stability

LCP Fixes

  1. Preload LCP image: <link rel="preload" as="image" href="/hero.webp">
  2. Inline critical CSS (eliminate render-blocking)
  3. Server response <200ms (TTFB): optimize DB queries, use edge caching
  4. Avoid lazy-loading above-fold images — use loading="eager" or omit attribute
  5. Use fetchpriority="high" on LCP element

INP Fixes

  1. Break long tasks (>50ms) by yielding to the main thread. There is no standalone yield() in browsers; use scheduler.yield() where available (Chromium 129+ and Firefox 142+; not in Safari as of Jul 2026) with a setTimeout(0) fallback.
  2. Defer non-critical JS: <script defer> or dynamic import()
  3. Use requestIdleCallback for analytics/telemetry — but it is unsupported in Safari (use a setTimeout shim) and always pass a timeout so the work runs even if the page never goes idle.
  4. Debounce input handlers: 100-150ms for search, immediate for buttons
// Yield to the main thread, with feature detection + fallback.
// scheduler.yield() resumes at high priority (front of queue);
// setTimeout(0) is the universal fallback (resumes after pending tasks).
function yieldToMain() {
  if ('scheduler' in window && 'yield' in scheduler) {
    return scheduler.yield();
  }
  return new Promise(r => setTimeout(r, 0));
}

async function processItems(items) {
  let lastYield = performance.now();
  for (const item of items) {
    process(item);
    // Yield every ~50ms so input stays responsive.
    if (performance.now() - lastYield > 50) {
      await yieldToMain();
      lastYield = performance.now();
    }
  }
}

// requestIdleCallback with Safari shim + mandatory timeout.
const ric = window.requestIdleCallback
  || ((cb) => setTimeout(() => cb({ didTimeout: true, timeRemaining: () => 0 }), 1));
ric(() => sendTelemetry(), { timeout: 2000 }); // runs within 2s even if never idle

Read the full file on GitHub · 325 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 325 lines · 64 tokens per session scan A 1928fa6b1fa4

Subscribe to this mod's changes

web-performance is a skill published in the GitHub repository san-npm/skills-ws (4 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 3,336 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-07.

Related

web-performance compared with skills from other repositories

web-performance next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
web-performancesan-npm/skills-wsSkill41mo agoMITA64Codex
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code