Intent-Code Divergence
High
- Confidence
- 88% confidence
- Finding
- The skill describes LLM-assisted semantic diffing and A/B evaluation as if they are real, while the implementation later states that outputs are simulated offline with deterministic metrics and no LLM API calls. This can mislead operators into trusting fabricated quality signals, causing unsafe prompt promotions, ineffective rollbacks, or false assurance around evaluation results.
