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 medy-gribkov/arcana --skill seo-metagit clone --depth 1 https://github.com/medy-gribkov/arcanaWrote 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/medy-gribkov/arcana/seo-meta)<a href="https://agentmods.dev/skills/medy-gribkov/arcana/seo-meta"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/seo-meta/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/medy-gribkov/arcana/seo-meta"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/seo-meta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00029 | $0.02032 |
| Opus 5 | $0.00015 | $0.01016 |
| Sonnet 5 | $0.00006 | $0.00406 |
| Haiku 4.5 | $0.00003 | $0.00203 |
Grade A, and why
seo-meta scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Meta Skill
Implement modern SEO patterns using Next.js Metadata API, structured data, and dynamic meta tag generation.
Next.js Metadata API
BAD: Manual meta tags with duplicates and missing canonical.
export default function BlogPost() {
return (
<>
<head>
<title>My Blog Post</title>
<meta name="description" content="Post content" />
{/* missing canonical, og tags, twitter cards */}
</head>
</>
);
}
GOOD: Use generateMetadata with complete meta tags.
import { Metadata } from 'next';
export async function generateMetadata({ params }: Props): Promise<Metadata> {
const post = await getPost(params.slug);
const url = `https://example.com/blog/${params.slug}`;
const ogImage = `/api/og?title=${encodeURIComponent(post.title)}`;
return {
title: post.title,
description: post.excerpt,
authors: [{ name: post.author }],
openGraph: {
title: post.title,
description: post.excerpt,
url,
siteName: 'My Site',
images: [{ url: ogImage, width: 1200, height: 630 }],
type: 'article',
publishedTime: post.publishedAt,
},
twitter: { card: 'summary_large_image', images: [ogImage] },
alternates: { canonical: url },
};
}
JSON-LD Structured Data
BAD: Invalid JSON and wrong schema types.
<script type="application/ld+json">
{{ name: "Product", price: "$99.99" }} {/* missing @context, wrong types */}
</script>
GOOD: Type-safe JSON-LD with proper schema.org vocabulary.
// lib/structured-data.ts
import { WithContext } from 'schema-dts';
export function createArticleSchema(article: {
title: string; author: string; publishedAt: string; url: string;
}): WithContext<'Article'> {
return {
'@context': 'https://schema.org',
'@type': 'Article',
headline: article.title,
datePublished: article.publishedAt,
author: { '@type': 'Person', name: article.author },
publisher: {
'@type': 'Organization',
name: 'My Site',
logo: { '@type': 'ImageObject', url: 'https://example.com/logo.png' },
},
mainEntityOfPage: { '@type': 'WebPage', '@id': article.url },
};
}
export function createProductSchema(product: {
name: string; price: number; currency: string; availability: string;
}): WithContext<'Product'> {
return {
'@context': 'https://schema.org',
'@type': 'Product',
name: product.name,
offers: {
'@type': 'Offer',
price: product.price.toFixed(2),
priceCurrency: product.currency,
availability: `https://schema.org/${product.availability}`,
},
};
}
// Usage
export default function BlogPost({ article }: Props) {
const schema = createArticleSchema(article);
return (
<>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(schema) }}
/>
<article>{/* content */}</article>
</>
);
}
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.
- 9d ago First seen · 307 lines · 29 tokens per session scan A fa603c6cdc45
seo-meta is a skill published in the GitHub repository medy-gribkov/arcana (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 2,032 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.
Other skills, from other repositories
hue
Meta-skill that generates new design language skills. Works on Claude Code and Codex. Use when the user says 'create a design skill', 'generate design language', 'new design system skill', 'design skill inspired by X', 'design skill from this screenshot', '/hue', or 'use hue'. Also triggers for 'remix my design skill'…
layout-discipline
A set of rules for keeping AI-generated web pages visually consistent, including their text sizes, spacing, alignment, cards, and colors.
business-plan
Write comprehensive business plans — executive summary, market analysis, financial projections, and competitive positioning.
ab-test-designer
Design and analyze A/B tests — sample sizes, significance testing, multiple comparisons, and results interpretation.
accessibility-checker
Audit and fix accessibility issues — WCAG 2.2 compliance, ARIA labels, color contrast, keyboard navigation, and screen-reader compatibility.
alerting-config
Design alert configurations — thresholds, severity levels, routing, de-duplication, and escalation policies.