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Learning Assessment Rubric

github-actions[bot] edited this page Jun 23, 2026 · 1 revision

Assessment Rubric

Use this rubric for self-study, onboarding, classroom review, or pull-request review of learning materials.

Area Beginner Competent Advanced Expert
Workflow execution Runs the documented commands Explains each command's purpose Adapts commands to a new local case Designs a repeatable workflow for a team
Evidence interpretation Finds outputs and basic fields Separates extracted facts from warnings Explains provenance and uncertainty Critiques evidence limits and missing review steps
Safety boundary Repeats that CaeReflex is not a validator Avoids validation, certification, and safety claims Corrects unsafe summaries Designs agent/developer prompts that preserve constraints
CLI and exports Creates JSON or Markdown outputs Chooses the right export for a user Compares full case JSON and agent context Traces exporter responsibilities in the architecture
REST/OpenAPI Recognizes health and schema endpoints Imports a case and retrieves context Designs a bounded tool-calling workflow Reviews API exposure, authentication, and workspace risks
Developer architecture Identifies adapters and services Explains the service layer's role Designs a safe adapter change Plans tests, docs, and safety validation for a new feature

Minimum completion standard

A learner should be able to provide:

  • the commands they ran;
  • the files or endpoints they inspected;
  • one extracted fact;
  • one limitation or inspection flag;
  • a safe summary that does not claim validation, convergence, mesh adequacy, certification, or design safety.

Instructor review prompts

Ask learners:

  1. What evidence came directly from files?
  2. What did CaeReflex infer or summarize?
  3. What would a qualified engineer still need to verify?
  4. Which output would you give to an LLM agent, and why?
  5. What statement would be unsafe or unsupported?

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