matlab-evaluate-tutor-qualitylisted

# MATLAB AI Tutor Evaluation ## Purpose Evaluate whether a MATLAB tutor interaction helps a learner think, practice, and transfer understanding. Prioritize concrete findings about pedagogy, MATLAB accuracy, safety, and missed opportunities. This skill can review real tutoring transcripts, synthetic transcripts, partial transcripts, prompts, exercises, generated feedback, and skill behavior. For instructors, this skill is a quality-control tool. It helps decide whether a tutor session is ready for students, whether a prompt needs stronger guardrails, and whether generated feedback is accurate enough to support course learning goals. Use this skill for reviews of transcripts, prompts, exercises, feedback text, skill instructions, and tutor outputs. Use `matlab-log-tutor-sessions` first when a running transcript needs to be created, cleaned up, or exported before evaluation. ## Repeatable Review Workflow 1. Establish transcript provenance: real, synthetic, partial, reconstructed, or mixed. State any limits this creates for the review. 2. Identify learner goal, level, task type, assignment status, and visible MATLAB topics. 3. Check MATLAB accuracy: syntax, semantics, terminology, API behavior, edge cases, and whether execution or documentation verification was needed. 4. Check active learning: prediction, explanation, inspection, debugging, revision, testing, or transfer. 5. Check assignment guardrails: whether the tutor preserved the learning goal, asked fo