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-quality-signalsgit 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-quality-signals)<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-quality-signals"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-quality-signals/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-quality-signals"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-quality-signals.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 | $0.01505 |
| Opus 5.5 | $0.00036 | $0.00602 |
| Sonnet 5.5 | $0.00018 | $0.00301 |
| Haiku 4.5 | $0.00009 | $0.00151 |
Grade A, and why
seo-content-quality-signals 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 2mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
内容质量信号诊断模块
本模块负责检查页面的内容质量指标,满分 10 分。在 AI 搜索时代,引擎不仅要找到内容,还要判断"这个来源可信吗?"——作者信息、发布日期、内容深度等信号是 AI 引擎评估可信度的关键因素。
检查项
1. 作者信息(4 分)
E-E-A-T(Experience, Expertise, Authoritativeness, Trustworthiness)中,作者信息是最直接的信号。AI 引擎在引用内容时倾向于选择有明确作者归属的来源。
检查方法:
- 检查页面中的作者信息:
- 作者姓名是否可见
- 是否有作者简介/bio
- 是否有作者链接(个人页面、社交媒体)
- 是否有作者图片
- 检查结构化数据中的作者信息:
- Article Schema 中的
author字段 author是否为 Person 类型(而非纯字符串)- 是否有
author.url、author.sameAs
- Article Schema 中的
- 检查
<meta name="author">标签 - 对于企业/机构网站,检查是否有 "关于我们" 链接和团队页面
评分:
- 4 分:可见作者信息 + Schema 中有 Person 类型作者 + 有简介
- 3 分:有作者姓名但缺少详细信息或 Schema 不完整
- 1 分:仅有 meta author 或仅显示"管理员"
- 0 分:无任何作者信息
输出格式:
状态:✅/⚠️/❌
页面可见作者:有/无(姓名:...)
作者简介:有/无
作者 Schema:Person 类型 / 纯字符串 / 无
author.url:有/无
meta author:有/无
修复建议:(具体建议)
2. 发布/更新日期(3 分)
内容新鲜度是搜索引擎和 AI 引擎的重要排名信号。用户搜索"2026 最佳..."时,AI 引擎会优先选择有近期日期标记的内容。
检查方法:
- 检查页面可见的日期信息:
- 发布日期
- 最后更新日期(更重要)
- 日期格式是否清晰可读
- 检查结构化数据中的日期:
datePublisheddateModified- 日期格式是否为 ISO 8601(YYYY-MM-DD)
- 检查
<meta>标签中的日期:article:published_timearticle:modified_time
- 评估日期的合理性:
- 是否过旧(超过 2 年可能需要更新提示)
- dateModified 是否晚于 datePublished
- 是否所有页面都是同一日期(批量生成的信号)
评分:
- 3 分:页面可见日期 + Schema 日期 + 日期合理
- 2 分:有日期但仅在 Schema 或仅在页面可见处
- 1 分:有日期但格式不标准或缺少 dateModified
- 0 分:无任何日期信息
输出格式:
状态:✅/⚠️/❌
页面可见日期:
- 发布日期:YYYY-MM-DD / 无
- 更新日期:YYYY-MM-DD / 无
Schema 日期:
- datePublished:YYYY-MM-DD / 无
- dateModified:YYYY-MM-DD / 无
Meta 日期:
- article:published_time:... / 无
- article:modified_time:... / 无
新鲜度评估:最近(< 6 个月)/ 较旧(6-24 个月)/ 过期(> 24 个月)
修复建议:(具体建议)
3. 页面内容字数和可读性(3 分)
AI 引擎在评估内容深度时,字数是一个基础信号。过短的内容可能被认为"薄内容"(thin content),但更重要的是内容的信息密度和可读性。
检查方法:
- 提取页面主体内容(去除导航、页脚、侧边栏等模板元素)
- 统计:
- 纯文本字数(中文按字数,英文按词数)
- 段落数
- 平均段落长度
- 可读性评估:
- 段落是否过长(中文 > 300 字 / 英文 > 200 词的段落标记)
- 是否有"文字墙"(超长无分段内容)
- 句子平均长度
- 是否使用了小标题来分段
- 内容与广告/导航的比例(文本内容占页面 HTML 的比例)
评分:
- 3 分:内容 > 800 字(中文)/ > 500 词(英文)+ 分段合理 + 可读性好
- 2 分:内容量充足但可读性有改善空间
- 1 分:内容较少(300-800 字)或可读性差(大段落、无小标题)
- 0 分:薄内容 < 300 字或几乎无正文内容
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.
- 2mo ago First seen · 142 lines · 90 tokens per session scan A 7512e1c7aef3
seo-content-quality-signals is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (13 stars, last pushed 8mo ago), licensed MIT. It adds 90 tokens to every session and 1,505 once invoked, about $0.0004 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.
seo-content-quality-signals compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| seo-content-quality-signalsjrr996shujin-png/openclaw-seo-aeo-skills | Skill | 13 | 8mo ago | MIT | A | 90 | Claude Code, Codex |
| ansvisor-aeo-coach-standaloneansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 148 | Claude Code, Codex |
| ansvisor-aeo-coachansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 241 | Claude Code, Codex |
| aeroCanonry/canonry | Skill | 198 | yesterday | MIT | A | 93 | Claude Code |
| canonryCanonry/canonry | Skill | 198 | yesterday | MIT | A | 64 | Claude Code |
| promptsansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 25 | Claude Code, Codex |
| fanoutansvisor/ansvisor | Skill | 232 | yesterday | MIT | A | 23 | Claude Code, Codex |