Better Auth Best Practices

What it does

This skill provides guidance and recommendations for implementing robust authentication practices in AI agent applications. It focuses on security best practices to protect user data and prevent unauthorized access, covering topics from password management to multi-factor authentication. The goal is to help developers build secure and trustworthy AI agents.

When to use it

• When designing the authentication flow for a new AI agent application.
• During code reviews of existing AI agent applications to identify potential security vulnerabilities related to authentication.
• To evaluate and improve the current authentication methods used by an AI agent, particularly when dealing with sensitive user data.
• When integrating third-party services or APIs that require secure authentication protocols.

Key capabilities

• Provides recommendations for password storage and hashing techniques.
• Offers guidance on implementing multi-factor authentication (MFA).
• Suggests best practices for session management and token security.
• Covers strategies to prevent common authentication attacks like brute force and credential stuffing.

Example prompts

• "What are the most secure ways to store user passwords in my AI agent application?"
• "How can I implement multi-factor authentication for my AI agent?"
• "Can you review my current session management code and identify any potential security risks?"

Tips & gotchas

This skill assumes a basic understanding of web development and security principles. While it offers best practices, implementing them requires careful consideration of the specific application context and potential trade-offs between security and usability.