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 jrr996shujin-png/openclaw-seo-aeo-skills --skill content-structuregit clone --depth 1 https://github.com/jrr996shujin-png/openclaw-seo-aeo-skillsWrote 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/jrr996shujin-png/openclaw-seo-aeo-skills/content-structure)<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-structure"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-structure/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/jrr996shujin-png/openclaw-seo-aeo-skills/content-structure"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-structure.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 | $0.00090 | $0.01752 |
| Opus 5 | $0.00045 | $0.00876 |
| Sonnet 5 | $0.00018 | $0.00350 |
| Haiku 4.5 | $0.00009 | $0.00175 |
Grade A, and why
seo-content-structure 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
内容结构诊断模块
本模块负责检查页面的内容结构是否利于搜索引擎和 AI 引擎解析，满分 15 分。内容结构的好坏直接决定了 AI 引擎能否准确提取和引用你的内容——一个结构清晰的页面，AI 能精准引用其中的段落；一个结构混乱的页面，AI 可能直接跳过它。
检查项
1. Meta 标签质量（4 分）
检查方法：
- 提取
<title>标签：- 是否存在
- 长度是否在 30-60 字符之间（中文 15-30 字）
- 是否包含目标关键词（如果能从内容推断）
- 是否唯一且描述性（非通用模板如"首页 - 公司名"）
- 提取
<meta name="description">：- 是否存在
- 长度是否在 120-160 字符之间（中文 60-80 字）
- 是否为具有行动号召力的摘要
- 是否与页面实际内容相关
- 检查是否有重复的 title 或 description 标签
评分：
- 4 分：title + description 均存在、长度合适、内容相关
- 3 分：均存在但有长度或质量问题
- 1 分：缺少其中一个或两者质量都差
- 0 分：title 和 description 都缺失
输出格式：
状态：✅/⚠️/❌
Title：「...」（X 字符）
- 长度：合适/过长/过短
- 关键词：包含/未包含
Description：「...」（X 字符）
- 长度：合适/过长/过短
- 行动力：强/弱
修复建议：（含改写示例）
2. H1-H4 标题层级（4 分）
标题层级是 AI 引擎理解页面内容组织结构的核心线索。一个语义清晰的标题层级就像一本书的目录——AI 可以据此快速定位和引用特定部分。
检查方法：
- 提取所有
<h1>到<h6>标签 - 检查：
- H1 是否唯一（一个页面应只有一个 H1）
- H1 是否在页面顶部
- 标题层级是否连续（不应从 H1 直接跳到 H4）
- 标题内容是否具有描述性（非通用文字如"更多"）
- 是否有空标题标签
- 标题是否过长（建议 < 70 字符）
- 生成标题大纲树，展示层级关系
评分：
- 4 分：H1 唯一 + 层级连续 + 内容描述性强
- 3 分：H1 唯一但有层级跳跃
- 1 分：多个 H1 或层级混乱
- 0 分：无任何标题标签或大量空标题
输出格式：
状态：✅/⚠️/❌
H1 数量：X 个
标题大纲：
H1: [标题内容]
H2: [标题内容]
H3: [标题内容]
H2: [标题内容]
H3: [标题内容]
H4: [标题内容]
层级连续性：✅ 连续 / ⚠️ 有跳跃（H1→H3）
修复建议：（具体建议）
3. 列表独立性（2 分）
AI 引擎特别善于提取格式化列表作为回答。但列表需要"独立可理解"——即脱离上下文也能看懂每一项。
检查方法：
- 提取所有
<ul>、<ol>列表 - 检查：
- 列表项是否自包含（每项是否有足够的上下文，不依赖前一项理解）
- 列表前是否有引导性标题或段落说明
- 列表项长度是否合适（太短可能缺乏信息，太长可能需要拆分）
- 是否有嵌套列表（适度嵌套可以，过深不好）
评分：
- 2 分：列表有引导、项目自包含、结构合理
- 1 分：有列表但可读性或独立性有问题
- 0 分：无列表或列表质量很差
4. 结构化表格（2 分）
表格是数据密集内容的最佳呈现方式，也是 AI 引擎最容易直接引用的格式之一。
检查方法：
- 提取所有
<table>标签 - 检查：
- 是否有
<thead>/<th>表头 - 是否有
<caption>或<summary>描述 - 表格是否用于布局而非数据（反模式）
- 表格是否在移动端可滚动（
overflow-x: auto等）
- 是否有
- 如果页面有比较性数据但未使用表格，标注为优化机会
评分：
- 2 分：表格有表头 + 描述 + 非布局用途
- 1 分：有表格但缺少表头或描述
- 0 分：数据适合表格但未使用，或表格用于布局
5. FAQ 格式（3 分）
FAQ 是 AEO 的黄金格式——问答形式天然匹配 AI 引擎的"问答"检索模式。
检查方法：
- 检查是否有 FAQPage Schema（与结构化数据模块联动）
- 检查页面中是否有问答格式的内容（即使未标记为 FAQ）：
- 以"？"结尾的标题后跟段落
- "Q: ... A: ..." 格式
<details>/<summary>折叠面板
- 如果有问答内容，检查：
- 问题是否自然、完整（像真实用户会问的）
- 答案是否在问题后立即给出（不要问了一页才回答）
- 答案的第一句话是否能独立作为回答
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.
- 12d ago First seen · 154 lines · 90 tokens per session scan A 9d86099454d7
seo-content-structure is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 90 tokens to every session and 1,752 once invoked, about $0.0005 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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