Agentaudit Skill

What it does

This skill provides auditing capabilities for AI agents. It can analyze agent behavior, identify potential issues or biases in responses, and generate reports on these findings. The goal is to improve the reliability and safety of deployed AI agents through continuous monitoring and assessment.

When to use it

• Post-Deployment Monitoring: Regularly audit an agent after deployment to ensure its performance remains consistent and aligns with expected behavior.
• Bias Detection: Identify potential biases in an agent's responses related to sensitive topics like gender, race, or religion.
• Security Vulnerability Assessment: Evaluate the agent’s susceptibility to prompt injection attacks or other security risks.
• Compliance Checks: Verify that the agent adheres to specific regulatory requirements or internal policies regarding data handling and output generation.

Key capabilities

• Behavior Analysis
• Bias Identification
• Report Generation
• Security Assessment

Example prompts

• "Audit this AI agent's responses for potential biases."
• "Generate a report on the security vulnerabilities of this agent."
• "Analyze this agent’s behavior over the last week and identify any anomalies."

Tips & gotchas

The effectiveness of the audit depends heavily on the quality and diversity of test prompts provided. Ensure you cover a wide range of scenarios to get a comprehensive assessment.