eval-authoring

Creating evaluation rubrics for text-based acceptance criteria is done by authoring rubric parameters and reference sets that define automated checking rules for project quality assurance, code review, or documentation evaluation.

To install evaluation criteria into a project harness, you freeze the authored rubrics and reference sets, which deploys them directly into the evaluation harness for automated acceptance criteria checking.

Yes, you need Python 3.9+ and access to the Anthropic Messages API or the claude CLI to author evaluation rubrics, as these dependencies provide the required judge transportation for criteria processing.

A reference set in text-judged acceptance criteria is a collection of evaluation components and parameters that defines the baseline for automated quality assurance checks and documentation evaluation.

Yes, you can evaluate technical documentation clarity by defining specific criteria such as grammatical correctness, clarity, and conciseness, then installing that rubric into the evaluation harness for automated checking.

The best way to automate code review evaluation criteria is to author text-based rubrics and reference sets, then freeze and install them into the project's evaluation harness for automated quality assurance checking.