ai-testing
An AI tool for automated testing, focusing on output quality, reliability, user trust, regulatory compliance, and security. Use this skill to prevent injection attacks, ensure system integrity, and protect data by integrating LLM-based systems into the Deepeval Framework, running test cases, and generating structured fact-check reports.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Features and purpose
An AI tool for automated testing, focusing on output quality, reliability, user trust, regulatory compliance, and security. Use this skill to prevent injection attacks, ensure system integrity, and protect data by integrating LLM-based systems into the Deepeval Framework, running test cases, and generating structured fact-check reports.
Quick start
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
Guides ↗Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-21
- Index updated
- 2026-02-28
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!