A powerful SEO analysis tool for Openclaw Skills that identifies technical gaps and content opportunities to improve search engine rankings.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pls-seo-audit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pls-seo-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SEO Audit skill is a comprehensive diagnostic toolkit designed for developers and marketers using Openclaw Skills. It automates the process of scanning websites and digital content to uncover critical SEO deficiencies, from broken meta tags and improper header hierarchies to technical bottlenecks like slow page speeds and missing SSL certificates.
By integrating this skill into your workflow, you can ensure every page is technically sound and perfectly optimized for both users and search engines. It provides the deep insights necessary to refine on-page elements, improve technical infrastructure, and verify that structured data is correctly implemented for maximum visibility.
To get started with this skill in your Openclaw Skills environment, ensure you have the necessary dependencies installed:
pip install beautifulsoup4 requests textstat
You can then run technical audits using built-in commands like:
npx lighthouse https://example.com --view
For SSL checks, use the following command:
openssl s_client -connect example.com:443 -servername example.com 2>/dev/null | openssl x509 -noout -dates
The SEO Audit skill organizes data into structured reports and objects to facilitate easy debugging within Openclaw Skills.
| Category | Data Points Captured | Format |
|---|---|---|
| Technical | Page Speed, SSL Dates, Sitemap XML, Robots.txt | JSON / Table |
| On-Page | Title, Meta Description, H1-H3 counts, Alt Text | Markdown List |
| Content | Keyword Density %, Flesch-Kincaid Grade, Word Count | Dictionary |
| Validation | Schema.org Type, Rich Result Status, Canonical Tags | Boolean / Text |
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