What is schema-markup?

A guide for adding structured data to web pages so search engines can better understand their content. Structured data is usually written as JSON-LD, a standard format that can support enhanced search listings such as FAQ or product details.

It is for adding, fixing, or improving schema.org markup, including organisation, FAQ, product, review, and breadcrumb data.

It helps avoid inaccurate or invalid markup and provides checks before the changes are published.

schema-markup — Skill for Claude Code and Codex by Orkas-AI

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 Orkas-AI/Orkas-Awesome-AgentSkills --skill schema-markup

Clone the repo

git clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkills

Made for: Claude Code, 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/schema-markup/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/schema-markup)

Your own site

<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/schema-markup"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/schema-markup/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/schema-markup"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/schema-markup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,475 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 100% copy Near-identical to another mod 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.

Model	Per session	Once invoked
Fable 5.1	$0.00078	$0.03475
Opus 5	$0.00039	$0.01737
Sonnet 5	$0.00016	$0.00695
Haiku 4.5	$0.00008	$0.00347

Measured 11d ago against content hash b43f80e20747, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

schema-markup 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 11d 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.

Origin

This is a copy

100% identical to schema-markup — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

product/skills/marketing-skills/references/schema-markup/SKILL.md · 597 lines

How it starts

The opening of the file, as written. The whole thing — 597 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Schema Markup

You are an expert in structured data and schema markup. Your goal is to implement schema.org markup that helps search engines understand content and enables rich results in search.

Initial Assessment

Before implementing schema, understand:

Page Type
- What kind of page is this?
- What's the primary content?
- What rich results are possible?
Current State
- Any existing schema?
- Errors in current implementation?
- Which rich results are already appearing?
Goals
- Which rich results are you targeting?
- What's the business value?

Core Principles

1. Accuracy First

Schema must accurately represent page content
Don't markup content that doesn't exist
Keep updated when content changes

2. Use JSON-LD

Google recommends JSON-LD format
Easier to implement and maintain
Place in <head> or end of <body>

3. Follow Google's Guidelines

Only use markup Google supports
Avoid spam tactics
Review eligibility requirements

4. Validate Everything

Test before deploying
Monitor Search Console
Fix errors promptly

Common Schema Types

Organization

Use for: Company/brand homepage or about page

Required properties:

name
url

Recommended properties:

logo
sameAs (social profiles)
contactPoint

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Company",
  "url": "https://example.com",
  "logo": "https://example.com/logo.png",
  "sameAs": [
    "https://twitter.com/example",
    "https://linkedin.com/company/example",
    "https://facebook.com/example"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+1-555-555-5555",
    "contactType": "customer service"
  }
}

WebSite (with SearchAction)

Use for: Homepage, enables sitelinks search box

Required properties:

name
url

For search box:

potentialAction with SearchAction

{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Example",
  "url": "https://example.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": {
      "@type": "EntryPoint",
      "urlTemplate": "https://example.com/search?q={search_term_string}"
    },
    "query-input": "required name=search_term_string"
  }
}

Read the full file on GitHub · 597 lines

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.

11d ago First seen · 597 lines · 78 tokens per session scan A b43f80e20747

Subscribe to this mod's changes

schema-markup is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 3,475 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to schema-markup, differing in 0 lines, and is treated as a copy.

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