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AI EngineeringPython

Metric Design

by agentscope-ai

Metric Design 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 Metric Design
Copy Metric Design 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/eval_pipeline/02-metric-design ~/.claude/skills/02-metric-design

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” 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 skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
skills/eval_pipeline/02-metric-design/SKILL.md in agentscope-ai/OpenJudge
Installs to
~/.claude/skills/02-metric-design
Collection
One of 18 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What Metric Design does

Metric Design helps choose graders, design evaluation metrics, write LLM-as-judge prompts, and combine scores into an OpenJudge grading pipeline. Use it when you need to evaluate outputs automatically with executable grading code.

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

Documentation

README

Metric Design

Select, configure, and combine evaluation graders into a working pipeline. You choose the right tool for each evaluation dimension โ€” from zero-cost code checks to LLM judges โ€” and produce executable GradingRunner code that runs on OpenJudge.

Requires OpenJudge (pip install py-openjudge). This skill is intentionally SDK-centric โ€” grader selection, GradingRunner, and aggregators are OpenJudge APIs. The design/decision logic still applies if you use another harness; only the code does not.

When to Activate

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

Frequently asked about Metric Design

  • What else does agentscope-ai publish alongside Metric Design?

    Metric Design 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 Metric Design 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 Metric Design compare to other AI Engineering skills?

    Metric Design ranks #1626 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 Metric Design against them. Open each page to compare what they document and how they install.

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

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