seo-audit-full

Audit webpage technical, on-page, structured data, and social SEO metrics.

696|91|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/JeffLi1993/seo-audit-skill --skill seo-audit-full
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: seo-audit-full
Source: https://github.com/JeffLi1993/seo-audit-skill/tree/main/seo-audit-full
Command: npx skills add https://github.com/JeffLi1993/seo-audit-skill --skill seo-audit-full

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables in-depth, full-spectrum SEO audits, providing detailed evaluations of website and page health to improve search performance.

Core Features & Use Cases

  • Comprehensive Audit Coverage: Checks technical SEO, on-page elements, structured data, social tags, and more for precise website assessment.
  • Use Case: Conduct a thorough SEO review of a client's homepage to identify critical issues and prioritize fixes for higher rankings.
  • Functional Requirements: Supports running multiple scripts, LLM-based analyses, and generating detailed HTML reports with risk tags, evidence, and recommendations.

Quick Start

Provide the target URL and optional Google Search Console API credentials to conduct an exhaustive SEO evaluation and generate the full report.

Frequently Asked Questions about seo-audit-full

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What are the limitations of using Python requests for a full SEO audit?โ–ผ

Using Python requests for a full SEO audit limits the analysis to the fetched HTML payload and specified APIs. It may not fully render JavaScript-heavy webpages or capture dynamic content, potentially missing technical issues requiring a real browser environment.

How do I perform a full SEO audit on a webpage to identify technical and on-page issues?โ–ผ

A full SEO audit runs scripted checks and LLM-based analyses on a specified webpage to evaluate technical SEO, on-page elements, and structured data. It generates a comprehensive HTML report with risk tags, evidence, and prioritized recommendations.

What is the best way to check structured data and social tags for search optimization?โ–ผ

Checking structured data and social tags is part of an end-to-end SEO health review. This process evaluates semantic quality metrics and social tag implementation, providing actionable insights to improve website search performance and compliance.

Can I use Google Search Console API credentials to conduct a comprehensive website analysis?โ–ผ

Yes, you can provide optional Google Search Console API credentials alongside a target URL. This enables an exhaustive SEO evaluation, combining external data with internal page analysis to generate a detailed health report.

Does this SEO review support generating detailed HTML reports with actionable insights for clients?โ–ผ

Yes, the SEO review generates detailed HTML reports designed for decision-making. These reports include risk tags, evidence, and specific recommendations, allowing marketing teams to prioritize site improvements for higher rankings.

What are the limitations of using Python requests for a full SEO audit?โ–ผ

Using Python requests for a full SEO audit limits the analysis to the fetched HTML payload and specified APIs. It may not fully render JavaScript-heavy webpages or capture dynamic content, potentially missing technical issues requiring a real browser environment.