squirrelscan

Website audit tool built for your coding agent

Free CLI for SEO, performance & security audits. Built for Claude Code, Cursor, and AI workflows. 230+ rules, LLM-optimized reports, single binary install.

Features

230+ Rules, 21 Categories - Comprehensive coverage across SEO, accessibility, performance, and security
AI-Native Design - LLM-optimised output for Claude Code, Cursor, and any AI assistant
Smart Incremental Crawling - ETag, Last-Modified, content hashing. Resume from checkpoints.
Developer-First CLI - Single binary, zero dependencies, shell completions, self-update
E-E-A-T Auditing - Dedicated rules for Experience, Expertise, Authority, Trust
Crawl History & Changes - Track site evolution, compare crawls, spot regressions
Multiple Output Formats - Console, JSON, HTML, Markdown, Text, LLM, XML

Three Ways to Use

1. CLI for Humans

Run audits directly in your terminal:

squirrel audit example.com

2. AI Coding Agent Skill

Install the skill for autonomous workflows:

npx skills install squirrelscan/skills

Use the slash command:

/audit-website

Or prompt your AI agent more specifically:

Use the audit-website skill to audit this site and fix all issues but only crawl 10 pages

More information in the skills repository and our Getting started with AI Agents documentation.

3. Pipe to AI agent

Pipe clean output to any AI assistant:

squirrel audit example.com --format llm | claude

Installation

macOS / Linux:

curl -fsSL https://squirrelscan.com/install | bash

Windows:

iwr -useb https://squirrelscan.com/install.ps1 | iex

npm (all platforms):

npm install -g squirrelscan

npx (run without installing):

npx squirrelscan audit example.com

Quick Start

# Audit a website
squirrel audit https://example.com

# Generate HTML report
squirrel audit https://example.com -f html -o report.html

# Pipe to Claude for AI analysis
squirrel audit https://example.com --format llm | claude

# Limit pages for faster results
squirrel audit https://example.com -m 10

Resources

Website: squirrelscan.com
Documentation: docs.squirrelscan.com
AI Agent Skills: github.com/squirrelscan/skills

Rule Categories

| Category | Rules | Focus | |----------|-------|-------| | Accessibility | 56 | ARIA, button/input names, landmarks, lists, tables, focus | | Performance | 24 | Core Web Vitals, compression, caching, JS optimization | | Crawlability | 15 | Robots.txt, sitemaps, indexability | | Security | 15 | HTTPS, CSP, cookies, leaked secrets (96 patterns) | | Links | 15 | Broken links, redirects, anchor text | | Images | 15 | Alt text, formats, lazy loading, optimization | | Content | 15 | Readability, freshness, word count | | E-E-A-T | 14 | Authority, trust, expertise signals | | Core | 13 | Meta tags, canonical, doctype, charset | | Structured Data | 11 | JSON-LD, schema validation | | URL Structure | 8 | Length, format, parameters | | Mobile | 6 | Viewport, tap targets, responsive | | Social Media | 4 | Open Graph, Twitter Cards | | SEO | 4 | Meta robots, indexability | | Video | 3 | Schema, captions, thumbnails | | Local SEO | 3 | NAP, geo tags, service areas | | Legal | 3 | Privacy policy, cookie consent | | Internationalization | 2 | Hreflang, lang attribute | | Analytics | 2 | GTM, consent mode | | AI Detection | 2 | AI content signals | | Adblock Detection | 2 | Blocked elements, tracking |

Total: 230+ rules across 21 categories

See the rules reference for full details.

AI Agent Integration

squirrelscan is designed for autonomous AI workflows:

# Install the skill for Claude Code, Cursor, etc.
npx skills install squirrelscan/skills

Example AI prompts:

"Audit example.com and fix all critical issues"
"Check for SEO regressions after my recent changes"
"Generate a comprehensive audit report and enter plan mode to fix issues"
"Audit only the /blog section and focus on E-E-A-T signals"
"Run a security-focused audit and check for leaked secrets"

See AI Agent Integration docs for advanced workflows.

Output Formats

| Format | Flag | Use Case | |--------|------|----------| | Console | (default) | Human-readable terminal output | | JSON | -f json | CI/CD, programmatic processing | | HTML | -f html | Visual reports for sharing | | Markdown | -f markdown | Documentation, GitHub | | Text | -f text | Clean output for piping to LLMs | | LLM | -f llm | LLM optimized output |

Development Status

squirrelscan is in active beta. Expect rapid iteration and breaking changes. Feedback and issue reports welcome!

Squirrelscan

Install / Use

README