Global Rank · of 600 Skills
audit-website AI Agent Skill
View Source: squirrelscan/skills
MediumInstallation
npx skills add squirrelscan/skills --skill audit-website 45.2K
Installs
squirrelscan Skills
CLI Website Audits for Humans, Agents & LLMs
What is squirrelscan?
squirrelscan is a comprehensive website audit tool designed for developers, SEO professionals, and AI coding assistants. Built specifically to integrate seamlessly into modern development workflows and AI-assisted coding environments.
Features:
- 200+ audit rules across SEO, performance, accessibility, content, and security
- Leaked secrets detection (96 patterns: OpenAI, Anthropic, AWS, Stripe, and more)
- Multiple output formats: console, text, json, markdown, llm, html
- Designed for both human developers and AI agents
- Optimized for CI/CD pipelines and automation
- LLM-native output for AI-assisted debugging and optimization
Whether you're debugging SEO issues, validating site health, or enabling your AI assistant to autonomously fix website problems, squirrelscan fits into your workflow.
Prerequisites
These skills require the squirrel CLI to be installed and accessible in your PATH.
Install: squirrelscan.com/download
Verify:
squirrel --versionInstalling Skills
Using Claude Code / Cowork
/plugin install squirrelscan/skillsUsing OpenAI Codex
Reference the agents/openai.yaml config from your skills setup.
Using npx
npx skills add squirrelscan/skillsThis will install all squirrelscan skills for your AI coding assistant.
Manual Installation
Clone this repository to your skills directory:
git clone https://github.com/squirrelscan/skills.git ~/.skills/squirrelscanRefer to your AI tool's documentation for skills directory configuration.
Available Skills
audit-website
Audit websites for SEO, technical, content, and security issues using squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations.
Use when: Analyzing websites, debugging SEO issues, checking site health, validating meta tags, finding broken links.
Example Usage
Once installed, you can prompt your AI assistant to use squirrelscan skills:
Basic Site Audit
Audit this website using the audit-website skill and make changes to fix all errors and warningsTargeted Analysis
Run an audit on example.com and show me the top 5 critical issuesAutomated Fixes
Audit my site and fix all broken linksPost-Deployment Validation
Check squirrelscan.com for SEO issues after deploymentYour AI assistant will automatically use the squirrel CLI through the installed skills to perform audits and suggest or implement fixes.
Contributing
Contributions are welcome! To suggest new skills or improvements:
- Open an issue to discuss your idea
- Fork this repository
- Create a feature branch
- Submit a pull request
All skills must follow the Agent Skills Standard.
License
MIT License — See LICENSE file for details.
Learn more: docs.squirrelscan.com | squirrelscan.com
Installs
Security Audit
View Source
squirrelscan/skills
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How to use this skill
Install audit-website by running npx skills add squirrelscan/skills --skill audit-website in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of audit-website, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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