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AI EngineeringPython

OpenJudge

by agentscope-ai

OpenJudge is an AI Engineering skill for Claude Code, published by agentscope-ai in OpenJudge.

797 stars64 forkson agentscope-ai/OpenJudgeAdded 2026/08/23+1% in starsRepository updated 2026/08/03
agentagent-skillsai-agentalignmentevaluationgraderllmrewardreward-modelrlhfskill-mdskills
Install in seconds
Install OpenJudge
Copy OpenJudge into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/agentscope-ai/OpenJudge/tree/main/skills/openjudge ~/.claude/skills/openjudge

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/agentscope-ai/OpenJudge.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/openjudge/SKILL.md in agentscope-ai/OpenJudge
Installs to
~/.claude/skills/openjudge
Collection
One of 18 skills cataloged from this repository
Category
AI Engineering2451 skills

What OpenJudge does

OpenJudge builds evaluation pipelines for LLM outputs using graders, batch runners, aggregators, and analysis tools. Use it to score responses, compare models, and inspect results statistically.

OpenJudge is cataloged under AI Engineering on DirSkills. OpenJudge comes from a repository tagged agent, agent-skills, ai-agent, alignment and evaluation.

Documentation

README

OpenJudge Skill

Build evaluation pipelines for LLM applications using the openjudge library.

When to Use This Skill

  • User wants to evaluate LLM output quality (correctness, relevance, hallucination, etc.)
  • User wants to compare two or more models and rank them
  • User wants to design a scoring rubric and automate evaluation
  • User wants to analyze evaluation results statistically
  • User wants to build a reward model or quality filter

Sub-documents — Read When Relevant

This is the opening of the README. Read the full README on GitHub.

Frequently asked about OpenJudge

  • What else does agentscope-ai publish alongside OpenJudge?

    OpenJudge is one of 18 skills that DirSkills catalogs from agentscope-ai/OpenJudge, the repository it ships in. Its siblings there include Align Human, Auto Arena and BibTeX Verification. Each one is a separate skill with its own page in this directory, installs the same way OpenJudge does, and is maintained by agentscope-ai in that same repository. The rest of the collection is listed on the agentscope-ai/OpenJudge page.

  • How does OpenJudge compare to other AI Engineering skills?

    OpenJudge ranks #1628 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of OpenJudge against them. Open each page to compare what they document and how they install.

More from agentscope-ai/OpenJudge

OpenJudge is one of 18 skills cataloged on DirSkills from agentscope-ai/OpenJudge.

See all 18 skills
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1w ago

Align Human

Align Human measures how well an automatic judge agrees with human labels, including TPR/TNR, kappa, AC1, and bias checks. Use it to validate a grader, find disagreement patterns, and decide how much human review can be reduced.
AI Engineering
79764
🏟️
1w ago

Auto Arena

Auto Arena automatically generates test queries, collects responses, and runs pairwise judging to compare multiple models or agents on a custom task. Use it to benchmark endpoints, resume evaluations, add endpoints incrementally, or swap the judge model.
AI Engineering
79764
📚
1w ago

BibTeX Verification

BibTeX Verification checks each .bib entry against CrossRef, arXiv, and DBLP to find fake or mis-cited references. Use it to audit bibliography files and report entries as verified, suspect, or not found.
Quality
79764
🧪
1w ago

Bootstrap

Bootstrap helps you create a first evaluation when you have no labels, no traces, and no criteria yet. It generates a v0 grader, synthetic test inputs, and a roadmap for collecting human labels and calibrating the evaluator.
AI Engineering
79764
🕵️
1w ago

Claude Authenticity

Claude Authenticity checks whether an API endpoint is backed by genuine Claude using weighted rule-based signals. Use it to audit Claude API keys, third-party providers, and optionally extract an injected system prompt.
AI Engineering
79764
🧪
1w ago

Eval Design

Eval Design helps create stratified evaluation datasets, adversarial test cases, and labeling guides from traces, specs, or interviews. It outputs OpenJudge-compatible datasets for GradingRunner.
AI Engineering
79764