skill-tester

Automated skill validation executes predefined test scenarios against a target AI skill, comparing its output to a baseline. It spawns parallel runners interacting as user personas to verify acceptance criteria and compliance.

Quality assurance reporting for AI skills utilizes grader agents to analyze runner transcripts and evaluate acceptance criteria objectively. It generates structured reports highlighting skill value, issues, and ambiguities.

To evaluate agent performance, you run predefined test scenarios against the target skill to compare its output with a baseline. The system spawns parallel runners and produces detailed reports on accuracy and compliance.

Yes, grader agents analyze runner transcripts to objectively evaluate compliance with defined acceptance criteria. They identify skill value, issues, and ambiguities, providing structured evaluation reports.

The best way to test AI skills against a baseline is by spawning parallel runners that interact as user personas. This automated testing compares skill-enabled runners against the baseline to grade compliance.

Automated skill testing works for verifying customer support query accuracy by running common user queries against the skill. It validates accuracy, helpfulness, and adherence to support protocols before deployment.