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-performancegit 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-performance)<a href="https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-performance"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-performance/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-performance"><img src="https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-performance.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 | $0.00102 | $0.01675 |
| Opus 5 | $0.00051 | $0.00838 |
| Sonnet 5 | $0.00020 | $0.00335 |
| Haiku 4.5 | $0.00010 | $0.00168 |
Grade A, and why
seo-content-performance 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
品牌内容表现追踪模块
核心功能
追踪品牌网站每篇内容的搜索表现和用户行为，识别衰退内容并触发更新提醒。每周运行一次。
数据源与指标
来自 Google Search Console API
每篇页面的搜索表现：
- 曝光量（Impressions）：搜索结果中被展示了多少次
- 点击量（Clicks）：实际被点击了多少次
- CTR（点击率）：点击 / 曝光
- 平均排名（Average Position）：在搜索结果中的平均位置
- 搜索查询（Queries）：用户搜了什么词看到了这个页面
API 调用：/searchanalytics/query，按页面维度（page）拉取，时间范围为过去 7 天 + 过去 28 天（用于趋势对比）。
来自 Google Analytics API (GA4)
每篇页面的用户行为：
- 用户数（Active Users）
- 会话数（Sessions）
- 平均参与时间（Average Engagement Time）——GA4 中替代了老版的"停留时间"
- 跳出率（Bounce Rate）
- 转化事件（如有配置：注册、下载、购买等）
API 调用：GA4 Data API，按页面路径维度拉取。
来自 SEMrush API
补充数据：
- 该页面排名的关键词数量
- 估算自然流量
- 外链数量（其他网站链接到这个页面的数量）
执行流程
1. 内容清单建立
首次运行时，自动建立品牌网站的内容清单：
- 从 XML Sitemap 获取所有页面 URL
- 或从 Google Search Console API 拉取有曝光的所有页面
- 自动分类：
- Blog 文章：URL 含
/blog/或类似路径 - 产品页：URL 含
/product/、/features/等 - Help Center：URL 含
/help/、/docs/、/support/ - Landing Page：URL 含
/lp/、参数特征 - 其他
- Blog 文章：URL 含
分类后展示给用户确认。
2. 每周数据拉取
每周运行时：
Step 1 — 拉取本周数据
- Google Search Console：过去 7 天各页面的曝光、点击、排名
- Google Analytics：过去 7 天各页面的用户行为数据
- SEMrush：各页面的关键词数量和估算流量
Step 2 — 计算趋势
- 本周 vs 上周的变化率（需要存储历史数据或拉取更长时间范围做对比）
- 过去 28 天的滚动平均趋势
Step 3 — 识别异常
表现上升的内容（好消息）：
- 本周点击量比上周增长 > 20%
- 新进入关键词排名前 10
表现下滑的内容（关注）：
- 本周点击量比上周下降 > 20%
- 排名下滑 > 5 位
3. 内容衰退检测
这是本模块最重要的功能——自动识别需要更新的内容。
衰退判定规则：连续 30 天流量下降 10% 即自动标记。
具体实现：
- 拉取每篇文章过去 30 天的点击量
- 与前一个 30 天对比
- 如果下降 ≥ 10%，标记为 🟡 "衰退预警"
- 如果连续两个月（60 天）下降 ≥ 10%，升级为 🔴 "需要立即更新"
衰退标记后的输出：
🟡 衰退预警：/blog/best-ai-tools-2025
过去 30 天点击：1,240（前 30 天：1,450，下降 14.5%）
排名变化：核心词 "best AI tools" 从 #6 → #9
最后更新：2025-08-15（距今 6 个月）
外链数：23（无明显变化）
可能原因分析：
- 内容时效性下降（标题含 2025，但已进入 2026）
- 竞品可能发布了更新的同类文章
建议动作：
- 更新文章标题和内容为 2026 版本
- 检查竞品同主题最新内容 → 调用 competitor-content 模块
- 补充最新工具和数据
4. 新发布内容追踪
当品牌发布新文章时，进入"新内容观察期"：
| 时间节点 | 检查内容 |
|---|---|
| 第 7 天 | 是否被 Google 收录？初始排名在哪？ |
| 第 14 天 | 排名是否在上升？曝光量趋势 |
| 第 30 天 | 达到稳定排名了吗？点击量是否符合预期 |
| 第 60 天 | 与同类别文章的平均表现对比 |
| 第 90 天 | 长期表现评估，是否进入核心内容行列 |
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 · 171 lines · 102 tokens per session scan A fe38ee6f2d4d
seo-content-performance is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (11 stars, last pushed 6mo ago), licensed MIT. It adds 102 tokens to every session and 1,675 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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