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.
npx skills add cosmicstack-labs/mercury-agent-skills --skill web-performancegit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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.
[](https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/web-performance)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/web-performance"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/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.
<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/web-performance"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/web-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00024 | $0.00666 |
| Opus 5 | $0.00012 | $0.00333 |
| Sonnet 5 | $0.00005 | $0.00133 |
| Haiku 4.5 | $0.00002 | $0.00067 |
Grade A, and why
web-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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Performance
Systematic approach to measuring, analyzing, and optimizing web application performance.
Core Web Vitals
| Metric | Target | What It Measures |
|---|---|---|
| LCP (Largest Contentful Paint) | < 2.5s | Loading performance |
| FID (First Input Delay) | < 100ms | Interactivity |
| CLS (Cumulative Layout Shift) | < 0.1 | Visual stability |
| INP (Interaction to Next Paint) | < 200ms | Responsiveness |
Optimization Strategies
1. JavaScript Optimization
// Dynamic imports — code splitting
const Chart = dynamic(() => import('./Chart'), {
loading: () => <ChartSkeleton />,
ssr: false, // If chart needs browser APIs
});
// Bundle analysis
// next.config.js
const withBundleAnalyzer = require('@next/bundle-analyzer')({
enabled: process.env.ANALYZE === 'true',
});
module.exports = withBundleAnalyzer({});
2. Image Optimization
// Next.js Image component
import Image from 'next/image';
<Image
src="/hero.jpg"
alt="Hero"
width={1200}
height={600}
priority // Above-the-fold images
placeholder="blur"
blurDataURL="data:image/webp;base64,..."
/>
// Responsive images with srcSet
<picture>
<source media="(min-width: 1024px)" srcSet="/hero-lg.webp" />
<source media="(min-width: 640px)" srcSet="/hero-md.webp" />
<img src="/hero-sm.webp" alt="Hero" loading="lazy" />
</picture>
3. Caching Strategy
// Service Worker caching strategies
// Cache-First for static assets
self.addEventListener('fetch', (event) => {
if (event.request.url.includes('/static/')) {
event.respondWith(cacheFirst(event.request));
}
// Network-First for API calls
if (event.request.url.includes('/api/')) {
event.respondWith(networkFirst(event.request));
}
});
Common Mistakes
- Optimizing before measuring: Always measure first. Use Lighthouse, WebPageTest, and RUM data.
- Ignoring mobile performance: Test on real mobile devices, not just desktop DevTools.
- Blocking rendering with JavaScript: Defer non-critical JS. Use
async/deferon scripts. - Not optimizing images: Use WebP/AVIF, responsive images, and lazy loading.
- Missing performance budgets: Set budgets in your CI pipeline and fail builds that exceed them.
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.
- 8d ago First seen · 92 lines · 24 tokens per session scan A b1dfcca10524
web-performance is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 17d ago), licensed MIT. It adds 24 tokens to every session and 666 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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