home/categories/machine-learning/agentscope-ai-openjudge-skills-openjudge-skill-md
machine-learningdata-ai

openjudge

Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.

agentscope-ai
maintainer
agentscope-ai
更新日 3/10/2026
スター
537
フォーク
45
quick start

Installation and usage

Build custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.

インストール
$ install --globalskills.sh
使い方

インストール後、ターミナルで以下のコマンドを実行してこのスキルを使用できます:

skills use openjudge