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metric-pack-designer

✓ Official★ 4,081

by openai · part of openai/plugins

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.

🧩 One of 7 skills in the openai/plugins package — works on its own, and pairs well with its siblings.

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

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