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audit-website AI Agent Skill
Quellcode ansehen: squirrelscan/skills
MediumInstallation
npx skills add squirrelscan/skills --skill audit-website 45.2K
Installationen
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
Installationen
Sicherheitsprüfung
Quellcode ansehen
squirrelscan/skills
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So verwenden Sie diesen Skill
Install audit-website by running npx skills add squirrelscan/skills --skill audit-website in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für audit-website, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
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