audit-website

Audit websites with 200+ rules across SEO, performance, accessibility, security, and content.

13|Updated Feb 4, 2026

Search Tags:#performance #security #audit #llm #website #ci-cd #seo

Ready to run

npx skills add https://github.com/abeldotam/bmad-viewer --skill audit-website-abeldotam

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: audit-website
Source: https://github.com/abeldotam/bmad-viewer/tree/main/.agents/skills/audit-website
Command: npx skills add https://github.com/abeldotam/bmad-viewer --skill audit-website-abeldotam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates comprehensive website audits to identify SEO, performance, accessibility, security, and content issues across sites.

Core Features & Use Cases

200+ audit rules across 21 categories (SEO, technical, content, security, and more)
Output formats including console, text, json, markdown, llm, and html
Diff reports and regression analyses to detect changes over time
CI/CD friendly: integrates into automated workflows and pre-deployment checks
LLM-native output to facilitate AI-assisted debugging and optimization
Designed for developers, SEO teams, and AI agents to assess site health quickly
Supports auditing large sites with scalable results

Quick Start

Run a quick audit on a site using the squirrel CLI to obtain an initial health report.

Frequently Asked Questions about audit-website

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

FAQPage Schema

How do I automate website audits for SEO and performance in a CI/CD pipeline?▼

Automated website audits apply 200+ rules across SEO, performance, accessibility, and security to surface issues. The Skill integrates into CI/CD pipelines and pre-deployment checks, requiring the squirrel CLI in PATH to produce structured reports.

What is LLM-native output for website auditing and how does it help?▼

LLM-native output is a structured format generated during website audits to facilitate AI-assisted debugging and optimization. It provides results that AI agents can directly parse to assess site health and recommend fixes.

Can I generate diff reports and regression analyses for large websites?▼

Yes, you can generate diff reports and regression analyses to detect changes over time across large websites. The auditing tool scales to support large sites and outputs comparisons in formats like JSON, markdown, or HTML.

Do I need the squirrel CLI to run pre-deployment website checks?▼

Yes, you need the squirrel CLI in your PATH to execute automated website audits. It runs the 200+ rules across 21 categories and produces the structured audit reports needed for pre-deployment validation.

What output formats are available for website security and accessibility audit reports?▼

Website security and accessibility audit reports are available in console, text, JSON, markdown, LLM, and HTML formats. These options support developers, SEO teams, and AI agents evaluating site health across various workflows.