Borrowing it
Nothing to install: this file belongs to Piyush8296/claude-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Piyush8296/claude-workspace/main/.claude/skills/structured-data/SKILL.mdgit clone --depth 1 https://github.com/Piyush8296/claude-workspaceWrote 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/piyush8296/claude-workspace/structured-data)<a href="https://agentmods.dev/skills/piyush8296/claude-workspace/structured-data"><img src="https://agentmods.dev/badge/skills/piyush8296/claude-workspace/structured-data/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/piyush8296/claude-workspace/structured-data"><img src="https://agentmods.dev/badge/skills/piyush8296/claude-workspace/structured-data.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 | $0.00075 | $0.01622 |
| Opus 5.5 | $0.00030 | $0.00649 |
| Sonnet 5.5 | $0.00015 | $0.00324 |
| Haiku 4.5 | $0.00007 | $0.00162 |
Grade A, and why
structured-data 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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structured Data & Schema Markup
Why This Matters
Structured data tells search engines (and AI search) what your content IS, not just what it says. A product page with JSON-LD gets rich snippets (price, rating, availability). Without it, you're just another blue link.
JSON-LD Implementation in React
Next.js Pattern
// components/JsonLd.tsx
interface JsonLdProps {
data: Record<string, unknown>;
}
export function JsonLd({ data }: JsonLdProps) {
return (
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(data) }}
/>
);
}
Organization Schema (Site-wide)
// app/layout.tsx
const organizationSchema = {
'@context': 'https://schema.org',
'@type': 'Organization',
name: 'YourBrand',
url: 'https://yourdomain.com',
logo: 'https://yourdomain.com/logo.png',
sameAs: [
'https://twitter.com/yourbrand',
'https://linkedin.com/company/yourbrand',
'https://github.com/yourbrand',
],
contactPoint: {
'@type': 'ContactPoint',
email: '[email protected]',
contactType: 'customer support',
},
};
<JsonLd data={organizationSchema} />
WebSite with Search (Sitelinks Searchbox)
const websiteSchema = {
'@context': 'https://schema.org',
'@type': 'WebSite',
name: 'YourBrand',
url: 'https://yourdomain.com',
potentialAction: {
'@type': 'SearchAction',
target: {
'@type': 'EntryPoint',
urlTemplate: 'https://yourdomain.com/search?q={search_term_string}',
},
'query-input': 'required name=search_term_string',
},
};
Article / Blog Post
function articleSchema(post: BlogPost) {
return {
'@context': 'https://schema.org',
'@type': 'Article',
headline: post.title,
description: post.excerpt,
image: post.coverImage,
datePublished: post.publishedAt,
dateModified: post.updatedAt,
author: {
'@type': 'Person',
name: post.author.name,
url: post.author.profileUrl,
},
publisher: {
'@type': 'Organization',
name: 'YourBrand',
logo: { '@type': 'ImageObject', url: 'https://yourdomain.com/logo.png' },
},
mainEntityOfPage: {
'@type': 'WebPage',
'@id': `https://yourdomain.com/blog/${post.slug}`,
},
};
}
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.
- 1mo ago First seen · 241 lines · 75 tokens per session scan A 360b43a6653b
structured-data is a skill published in the GitHub repository Piyush8296/claude-workspace (2 stars, last pushed 6mo ago), licensed MIT. It adds 75 tokens to every session and 1,622 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
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