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metric-pack-designer Skill

AI Agent SkillJavaScriptOpen source

Design custom metric packs for plugin-eval so teams can add local evaluation rubrics that emit schema-compatible checks and metrics. Use when the user wants their own evaluation criteria or visualizations. Published by openai in plugins.

Decision snapshot

Is this a fit?

Best for

Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

20 days ago

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is metric-pack-designer Skill?

Design custom metric packs for plugin-eval so teams can add local evaluation rubrics that emit schema-compatible checks and metrics. Use when the user wants their own evaluation criteria or visualizations. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
92/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Design and media
  • Design and media use cases

Declared skill metadata

  • Source file: plugins/plugin-eval/skills/metric-pack-designer/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use metric-pack-designer Skill

  • Use it for design and media.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/plugin-eval/skills/metric-pack-designer/SKILL.md

What it does

Design custom metric packs for plugin-eval so teams can add local evaluation rubrics that emit schema-compatible checks and metrics. Use when the user wants their own evaluation criteria or visualizations.

Skill instructions

Metric Pack Designer Use this skill when the user wants to extend plugin-eval with a local rubric. Workflow 1. Clarify the custom rubric categories and target kinds. 2. Define the smallest useful checks[] and metrics[] payload. 3. Create a metric-pack manifest plus a script that prints JSON to stdout. 4. Run the pack through plugin-eval analyze <path --metric-pack <manifest.json. Design Rules - Keep IDs stable across runs so comparisons stay meaningful. - Emit only checks[], metrics[], and optional artifacts[]. - Do not try to overwrite the core score or summary. - Prefer deterministic local signals over subjective text generation. Reference - ../../references/metric-pack-manifest.md

Verified compatibility and discovery

Frequently asked questions

What is metric-pack-designer?

metric-pack-designer is a open-source AI agent skill with Copy skill directory. Design custom metric packs for plugin-eval so teams can add local evaluation rubrics that emit schema-compatible checks and metrics.

Who is metric-pack-designer best for?

metric-pack-designer is best for reusing agent instructions, scripts, and references, design and media workflows.

How do I install metric-pack-designer?

Install or run metric-pack-designer using Copy skill directory. Check metric-pack-designer for the latest setup command.

Is metric-pack-designer actively maintained?

metric-pack-designer may need a closer maintenance check before production use.

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5,140
Forks
717
Last commit
20 days ago
Last verified
Aug 24, 2026
Metadata fetched
Aug 24, 2026
Repository age
6 months
License
Unknown

Project health auto-fetched from the source repository.

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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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