!squirrelscan

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

$3

Run audits directly in your terminal:

``bash
squirrel audit example.com
`

$3

Install the skill for autonomous workflows:

`bash
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 clean output to any AI assistant:

`bash
squirrel audit example.com --format llm | claude
`




Installation

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

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

npm (all platforms):
`bash
npm install -g squirrelscan
`

npx (run without installing):
`bash
npx squirrelscan audit example.com
`

Quick Start

`bash


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:

`bash


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!

Links

- Website
- Documentation
- AI Agent Skills
- Share Feedback
- Bugs, Issues & Feature Requests
- Twitter/X