# Evaluation Framework Builder

> Evaluation Framework Builder

- Skill: `uitbreidenos/evaluation-framework-builder` (Agent Skill)
- Install (CLI): `npx skillmds@latest add uitbreidenos/evaluation-framework-builder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/uitbreidenos/evaluation-framework-builder/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: UitbreidenOS (https://skillmd.com/u/uitbreidenos)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/uitbreidenos/evaluation-framework-builder

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# Evaluation Framework Builder

## When to activate
When a user needs to design, implement, or validate evaluation frameworks for ML/AI models — including metric selection, benchmark design, test harness setup, and quality assurance strategies for model outputs.

## When NOT to use
- For general model training or fine-tuning (use model-training or fine-tuning-orchestrator)
- For deployment health monitoring (use observability or monitoring skills)
- For data preparation or preprocessing workflows (use data-engineering skills)
- For prompt optimization without evaluation context (use prompt-engineering skills)

## Instructions
TBD — This skill covers:
- Evaluation metric design and selection
- Benchmark dataset construction
- Test harness architecture and automation
- Quality thresholds and regression testing
- A/B testing framework setup
- Quantitative and qualitative evaluation strategies

## Example
TBD — Example evaluation framework for a semantic search model (embedding quality, latency, recall metrics, benchmark construction).