SkillEvaluator Mastery NVIDIA SkillEvaluator

Final exam

Fifteen questions across all eight modules. Score 80% (12 of 15) or more to pass. Answer every question, then check your answers.

  1. What does Skill Lift measure?
  2. Which tier is free and offline by default?
  3. Why does Tier 2 need an OpenAI (or compatible) key even for an all-Claude Tier 3 run?
  4. What does Tier 4 not supply?
  5. Which environment variable sets a separate judge model?
  6. Which easy-to-forget flag leaves the sandbox unable to find the repository's own tool bridge?
  7. Why pin an exact SkillEvaluator commit rather than install @main?
  8. What happens if Tier 2's embedding provider is missing?
  9. What does framework/adapters/nvidia_skillevaluator.py do?
  10. What support level should you expect from SkillEvaluator?
  11. Which frontmatter field does the author_format check need?
  12. In this repository's CI, which jobs block a pull request?
  13. Roughly what did a full 150-trial Tier 3 matrix cost per skill in this repository's runs?
  14. What bug did this repository patch locally in the pinned evaluator?
  15. Why is a Haiku-tier quick pass not certification evidence?