ai-testing

Automate AI testing for LLM systems using the Deepeval Framework.

2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/DTMC-marketplace/governance --skill ai-testing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-testing
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/ai-testing
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill ai-testing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires deepeval, openai, google-generativeai, pytest, and includes scripts (resource) and template (resource) components.

What problem does it solve?

This Skill addresses the critical need for robust, reliable, and secure AI systems by providing automated testing capabilities to identify and mitigate potential issues.

Core Features & Use Cases

  • Automated AI Testing: Integrates with the Deepeval Framework to test LLM-based systems.
  • Output Quality & Reliability: Evaluates the consistency and accuracy of AI responses.
  • Security & Compliance: Prevents injection attacks and ensures adherence to regulatory standards.
  • Fact-Checking: Generates structured reports for detailed analysis of test outcomes.
  • Use Case: Use this skill to test a customer service chatbot for vulnerabilities like prompt injection and ensure its responses are factually accurate and compliant with company policies before deployment.

Quick Start

Integrate your LLM system with the Deepeval Framework using the provided template to begin automated testing.

Frequently Asked Questions about ai-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate LLM evaluation and security testing for my chatbot?

Automating LLM evaluation and security testing involves integrating your system with the Deepeval Framework to run test cases and generate fact-check reports. This prevents injection attacks and ensures response compliance before deployment.

What is the best way to test LLM systems for prompt injection vulnerabilities?

Testing for prompt injection vulnerabilities is best handled by using automated AI testing tools like the Deepeval Framework. It evaluates system integrity, prevents injection attacks, and ensures regulatory compliance through structured test cases.

Does Deepeval work with pytest for running AI compliance tests?

Yes, Deepeval works with pytest to run AI compliance tests. This Skill uses the framework to execute test cases that evaluate output quality, assess system robustness, and generate structured fact-check reports for regulatory adherence.

Can I generate fact-check reports to evaluate AI output quality and reliability?

You can generate structured fact-check reports by integrating your LLM system with the Deepeval Framework. This process evaluates consistency, ensures accuracy, and validates output reliability for detailed analysis of test outcomes.

How do I ensure my AI chatbot meets company policies before deployment?

To ensure your AI chatbot meets company policies before deployment, use automated AI testing to evaluate factual accuracy and regulatory compliance. The Deepeval Framework runs targeted test cases to verify system integrity and prevent security vulnerabilities.