HoneyBadger: Security Scanner for AI Skills and MCPs

HoneyBadger: Security Scanner for AI Skills and MCPs

HoneyBadger is a critical security scanning tool designed for developers working with AI skills and MCPs. It automates the detection of potential vulnerabilities within SKILL.md files, a common format for defining AI agent behaviors and configurations. By integrating HoneyBadger into your development workflow, you can proactively identify and mitigate security risks before deploying or installing new AI components. This tool is essential for maintaining the integrity and security of your AI projects and infrastructure.

What HoneyBadger Does

HoneyBadger scans SKILL.md files to identify three primary categories of security threats:

• Secrets Detection: It looks for hardcoded credentials, API keys, and other sensitive information that should never be exposed in configuration files.
• CVE Detection: The scanner checks for known Common Vulnerabilities and Exposures (CVEs) within dependencies or libraries referenced in your SKILL.md files.
• Prompt Injection Detection: It analyzes the structure and content of prompts to identify potential vulnerabilities that could allow malicious actors to manipulate AI behavior or extract sensitive data.

Key Features

HoneyBadger offers several key features to enhance the security of your AI development process:

• Automated Scanning: Integrates seamlessly into CI/CD pipelines for continuous security checks.
• Targeted Analysis: Specifically designed to parse and understand the structure of SKILL.md files.
• Comprehensive Threat Identification: Covers a broad spectrum of common AI security risks.
• Early Detection: Identifies vulnerabilities before installation, preventing potential breaches.
• Open Source: Available on GitHub, allowing for community contributions and transparency.

Who HoneyBadger is For

HoneyBadger is an indispensable tool for:

• AI Developers: Building and deploying AI skills and agents.
• MCP Developers: Managing and securing AI agent orchestrations.
• Security Engineers: Responsible for the security posture of AI systems.
• DevOps Engineers: Implementing secure development practices and pipelines.

If you are involved in the development, deployment, or management of AI skills and MCPs, HoneyBadger provides a vital layer of security to protect your projects from common and emerging threats.