design-llm-eval-suite

Designs and implements an offline eval suite for an LLM feature: golden, edge, and negative cases per prompt template, the cheapest scoring strategy that can actually fail, pinned determinism, a regression gate against a committed baseline, and the CI job that runs it. Use when an LLM feature ships without evals, when prompt or model changes keep causing silent regressions, or before switching models. For prompt injection and runtime guardrail testing, use the test-llm-guardrails command.