Builds a versioned golden-dataset LLM regression suite for tracking quality across model upgrades: structures a versioned JSONL/CSV golden dataset, configures deterministic eval runs (temperature 0, seed), wires assertion layers (exact, semantic similarity, LLM-as-judge, rubric), enforces a pass-rate threshold with diff reporting vs the baseline model, and gates CI on regression. Use when upgrading an LLM provider model and needing a repeatable before/after quality gate, or when a prompt regression suite must track output quality across model versions over time.
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{
"name": "testland/llm-regression-suite-author",
"description": "Builds a versioned golden-dataset LLM regression suite for tracking quality across model upgrades: structures a versioned JSONL/CSV golden dataset, configures deterministic eval runs (temperature 0, seed), wires assertion layers (exact, semantic similarity, LLM-as-judge, rubric), enforces a pass-rate threshold with diff reporting vs the baseline model, and gates CI on regression. Use when upgrading an LLM provider model and needing a repeatable before/after quality gate, or when a prompt regression suite must track output quality across model versions over time.",
"private": false,
"skills": [
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"version": "1.3.5"
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