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 agentmods add rules/farzannajipour/cursor-react-rules/seo-patternsgit clone --depth 1 https://github.com/Farzannajipour/cursor-react-rulesWhat 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 | $0.00000 | $0.01061 |
| Opus 5 | $0.00000 | $0.00531 |
| Sonnet 5 | $0.00000 | $0.00212 |
| Haiku 4.5 | $0.00000 | $0.00106 |
Grade A, and why
seo-patterns 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 2d 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Patterns
Metadata (Next.js App Router)
Static Metadata
import { Metadata } from 'next';
export const metadata: Metadata = {
title: 'Page Title',
description: 'Page description for search engines',
keywords: ['keyword1', 'keyword2'],
authors: [{ name: 'Author Name' }],
creator: 'Creator Name',
openGraph: {
title: 'OG Title',
description: 'OG Description',
url: 'https://example.com',
siteName: 'Site Name',
images: [{
url: 'https://example.com/og-image.jpg',
width: 1200,
height: 630,
}],
locale: 'en_US',
type: 'website',
},
twitter: {
card: 'summary_large_image',
title: 'Twitter Title',
description: 'Twitter Description',
images: ['https://example.com/twitter-image.jpg'],
},
};
Dynamic Metadata
export async function generateMetadata({ params }: PageProps): Promise<Metadata> {
const post = await getPost(params.slug);
return {
title: post.title,
description: post.excerpt,
openGraph: {
title: post.title,
description: post.excerpt,
images: [{ url: post.coverImage }],
},
};
}
Structured Data (JSON-LD)
Article
export default function BlogPost({ post }: Props) {
const jsonLd = {
'@context': 'https://schema.org',
'@type': 'Article',
headline: post.title,
image: post.coverImage,
author: {
'@type': 'Person',
name: post.author.name,
},
datePublished: post.publishedAt,
dateModified: post.updatedAt,
};
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
<article>{/* content */}</article>
</>
);
}
Organization
const jsonLd = {
'@context': 'https://schema.org',
'@type': 'Organization',
name: 'Company Name',
url: 'https://example.com',
logo: 'https://example.com/logo.png',
sameAs: [
'https://twitter.com/company',
'https://linkedin.com/company/name',
],
};
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.
- 2d ago First seen · 208 lines · 0 tokens per session scan A 53d4f203a65f
seo-patterns is a cursor rule published in the GitHub repository Farzannajipour/cursor-react-rules (3 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,061 tokens. 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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