seo-structured-data

seo-structured-data is a skill for Claude Code, Codex from jrr996shujin-png/openclaw-seo-aeo-skills. It costs 72 tokens per session (1,517 once invoked), scanned A, original, MIT.

A website check for structured data and sharing metadata. Structured data labels content for search services, while Open Graph and Twitter Card tags control how links appear when shared.

In plain words
What is it for?
It checks Schema Markup such as Organization, Article, FAQ, and Product, along with Open Graph, Twitter Card, and multilingual hreflang tags, and suggests suitable fixes.
Why use it?
It finds missing or incomplete labels that can make pages harder for search engines and AI systems to interpret or display correctly in search results and social previews.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It checks Schema Markup such as Organization, Article, FAQ, and Product, along with Open Graph, Twitter Card, and multilingual hreflang tags, and suggests suitable fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data
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 jrr996shujin-png/openclaw-seo-aeo-skills --skill structured-data
Clone the repo
git clone --depth 1 https://github.com/jrr996shujin-png/openclaw-seo-aeo-skills

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.

agentmods badge for seo-structured-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data/github.svg)](https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data)
Your own site
<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/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.

agentmods 80×15 button for seo-structured-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/structured-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,517 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 original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.01517
Opus 5 $0.00036 $0.00758
Sonnet 5 $0.00014 $0.00303
Haiku 4.5 $0.00007 $0.00152

Measured 12d ago against content hash 097d9245ed05, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

seo-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 12d 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.

seo-aeo-diagnostics/structured-data/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

结构化数据诊断模块

本模块负责检查网站的结构化数据实现,满分 15 分。结构化数据是让搜索引擎和 AI 引擎理解页面内容语义的关键——没有它,你的内容只是一堆文字;有了它,引擎能准确知道"这是一篇文章""这是一个 FAQ""这是一家公司"。

检查项

1. Schema Markup(6 分)

检查方法:

  1. web_fetch 获取页面 HTML
  2. 搜索 JSON-LD 块(<script type="application/ld+json">
  3. 搜索 Microdata 属性(itemscopeitemtypeitemprop
  4. 解析找到的 Schema,检查:
    • 使用了哪些 Schema 类型(Organization、WebSite、Article、FAQ、BreadcrumbList、Product、LocalBusiness 等)
    • 必填字段是否完整
    • 是否有嵌套 Schema(如 Article 内嵌 Author)
    • JSON-LD 语法是否正确
  5. 根据页面类型评估是否使用了合适的 Schema:
    • 首页:Organization + WebSite
    • 文章页:Article + Author + BreadcrumbList
    • FAQ 页:FAQPage
    • 产品页:Product
    • 本地商家:LocalBusiness

评分:

  • 6 分:有 JSON-LD + 使用了与页面类型匹配的 Schema + 必填字段完整
  • 4 分:有 Schema 但类型不够完整或缺少部分推荐字段
  • 2 分:有 Schema 但类型不匹配或语法有错误
  • 0 分:无任何 Schema Markup

输出格式:

状态:✅/⚠️/❌
Schema 格式:JSON-LD / Microdata / 无
检测到的 Schema 类型:
- Organization ✅(字段完整度 X%)
- Article ⚠️(缺少 datePublished)
- ...

推荐但缺失的 Schema:
- FAQPage(页面有 FAQ 内容但未标记)
- BreadcrumbList(有面包屑导航但未加结构化标记)

修复建议:(具体 JSON-LD 代码示例)

2. Open Graph 标签(4 分)

Open Graph 决定了你的页面在社交平台(Facebook、LinkedIn、微信等)分享时的展示效果,同时也是 AI 引擎理解页面元信息的参考。

检查方法:

  1. 检查以下必填 OG 标签:
    • og:title
    • og:description
    • og:image
    • og:url
    • og:type
  2. 检查 og:image 的 URL 是否可访问
  3. 检查 og:titleog:description 的长度是否合适
  4. 检查 og:locale 是否与页面语言一致

评分:

  • 4 分:5 个核心标签齐全 + 图片可访问 + 长度合适
  • 3 分:核心标签齐全但有小问题(如图片不可访问)
  • 1 分:有部分 OG 标签但不完整
  • 0 分:无任何 OG 标签

输出格式:

状态:✅/⚠️/❌
OG 标签检查:
| 标签 | 状态 | 值 |
|------|------|-----|
| og:title | ✅/❌ | "..." |
| og:description | ✅/❌ | "..." |
| og:image | ✅/❌ | URL(可访问/不可访问)|
| og:url | ✅/❌ | "..." |
| og:type | ✅/❌ | "..." |

修复建议:(具体建议)

3. Twitter Card 标签(2 分)

检查方法:

  1. 检查 twitter:card(summary / summary_large_image)
  2. 检查 twitter:title
  3. 检查 twitter:description
  4. 检查 twitter:image
  5. 如果缺少 twitter 专用标签,检查是否有 OG 标签可作为 fallback

评分:

  • 2 分:twitter:card 存在 + 核心标签齐全(或 OG fallback 充分)
  • 1 分:有部分标签但不完整
  • 0 分:无任何 Twitter Card 标签且 OG 标签也无法作为 fallback

Read the full file on GitHub · 152 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.

  1. 12d ago First seen · 152 lines · 72 tokens per session scan A 097d9245ed05

Subscribe to this mod's changes

seo-structured-data is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 72 tokens to every session and 1,517 once invoked, about $0.0004 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 2026-08-31.

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