LLM Output Evaluation

Name: OpenModels
Creator: OpenModels
License: https://github.com/openmodelsrun/openmodels

AdvancedtestingMinimum 32K context

Defines repeatable quality evaluation for LLM outputs using representative datasets, scoring rubrics, model-graded checks, human review sampling, and regression thresholds.

llm evaluation quality regression-testing

Use cases

LLM quality gates
Prompt benchmarking
Model migration validation

Example prompt

Create an evaluation plan for this LLM feature, including representative cases, a scored rubric, automated checks, human-review sampling, and release thresholds.

Recommended models

claude-opus-4-6 gpt-5 gemini-2-5-pro

Compatible tools

claude-codecursorkiroany

Modalities

Input: text, file

→

Output: text, code

Author

OpenModels Community

@openmodelsrun