Back to Skills

Analyzing Security Headers

jeremylongshore
Updated Yesterday
16 views
712
74
712
View on GitHub
Metawordaiautomation

About

This skill automatically analyzes a website's HTTP security headers to identify vulnerabilities and misconfigurations. It provides a detailed report with a grade, score, and actionable recommendations for improvement. Developers should use it when they need to audit a domain's security posture or check for header-related security issues.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/jeremylongshore/claude-code-plugins-plus
Git CloneAlternative
git clone https://github.com/jeremylongshore/claude-code-plugins-plus.git ~/.claude/skills/Analyzing Security Headers

Copy and paste this command in Claude Code to install this skill

Documentation

Overview

This skill allows Claude to automatically analyze a website's HTTP security headers and provide a comprehensive report. It identifies missing or misconfigured headers and offers actionable recommendations to improve security posture.

How It Works

  1. Receives URL: Claude receives a URL or domain name from the user.
  2. Analyzes Headers: The plugin fetches the HTTP headers from the specified URL and analyzes them against security best practices.
  3. Generates Report: The plugin generates a detailed report, including a security grade, score, and specific recommendations for missing or misconfigured headers.

When to Use This Skill

This skill activates when you need to:

  • Analyze the security posture of a website.
  • Identify missing or misconfigured HTTP security headers.
  • Get recommendations for improving website security.
  • Audit a website for compliance with security best practices.

Examples

Example 1: Security Audit

User request: "Analyze the security headers for example.com"

The skill will:

  1. Fetch the HTTP headers from example.com.
  2. Analyze the headers for common security vulnerabilities.
  3. Generate a report outlining the security grade, score, and any identified issues with recommendations.

Example 2: Quick Security Check

User request: "Check HTTP security for mywebsite.net"

The skill will:

  1. Fetch the HTTP headers from mywebsite.net.
  2. Analyze the headers for common security vulnerabilities.
  3. Generate a report outlining the security grade, score, and any identified issues with recommendations.

Best Practices

  • Prioritize HSTS: Ensure HSTS is properly configured to prevent downgrade attacks.
  • Implement CSP: Start with a strict Content Security Policy to mitigate XSS vulnerabilities.
  • Regularly Scan: Schedule regular scans to identify new vulnerabilities and misconfigurations.

Integration

This skill can be used in conjunction with other security plugins to provide a more comprehensive security assessment. For example, it can be paired with a vulnerability scanner to identify both header-related and code-level vulnerabilities.

GitHub Repository

jeremylongshore/claude-code-plugins-plus
Path: backups/plugin-enhancements/plugin-backups/security-headers-analyzer_20251019_143714/skills/skill-adapter
aiautomationclaude-codedevopsmarketplacemcp

Related Skills

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

llamaguard

Other

LlamaGuard is Meta's 7-8B parameter model for moderating LLM inputs and outputs across six safety categories like violence and hate speech. It offers 94-95% accuracy and can be deployed using vLLM, Hugging Face, or Amazon SageMaker. Use this skill to easily integrate content filtering and safety guardrails into your AI applications.

View skill

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill