What is seo-content-performance?

A weekly content-monitoring tool that compares website search traffic and visitor behavior over time. It uses Google Search Console, Google Analytics, and SEMrush data to find pages whose performance is declining.

Use it to catalogue website content, track impressions, clicks, rankings, visits, engagement, conversions, keywords, estimated search traffic, and backlinks, then flag pages for updates.

It helps identify content losing visibility or visitors before those pages are overlooked.

seo-content-performance — Skill by jrr996shujin-png

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 content-performance

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-performance/github.svg)](https://agentmods.dev/skills/jrr996shujin-png/openclaw-seo-aeo-skills/content-performance)

Your own site

<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.

Your own site · 80×15

<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>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,675 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.

Model	Per session	Once invoked
Fable 5.1	$0.00102	$0.01675
Opus 5.5	$0.00041	$0.00670
Sonnet 5.5	$0.00020	$0.00335
Haiku 4.5	$0.00010	$0.00168

Measured 2mo ago against content hash fe38ee6f2d4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 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.

seo-competitive-intel/content-performance/SKILL.md · 171 lines

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

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

Read the full file on GitHub · 171 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.

2mo ago First seen · 171 lines · 102 tokens per session scan A fe38ee6f2d4d

Subscribe to this mod's changes

seo-content-performance is a skill published in the GitHub repository jrr996shujin-png/openclaw-seo-aeo-skills (13 stars, last pushed 8mo ago), licensed MIT. It adds 102 tokens to every session and 1,675 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.

Analytics and metrics Marketing and SEO aeo agent-skills ai-agent ai-search answer-engine-optimization competitor-analysis

seo-content-performance next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
seo-content-performancejrr996shujin-png/openclaw-seo-aeo-skills	Skill	13	8mo ago	MIT	A	102	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