# Nat Evaluation

> Use when designing, configuring, running, or troubleshooting NeMo Agent Toolkit evaluations, datasets, evaluator selection, ATIF surfaces, quality gates, custom evaluators, and `nat eval`.

- Skill: `nvidia/nat-evaluation` (Agent Skill, multi-file: 13 files)
- Install (CLI): `npx skillmds@latest add nvidia/nat-evaluation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nvidia/nat-evaluation/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: Apache-2.0
- Author: NVIDIA (https://skillmd.com/u/nvidia)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/nvidia/nat-evaluation

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# NeMo Agent Toolkit Evaluation

Use this skill for measuring agent quality and behavior.

## Workflow

1. Decide the evaluation surface and output format.
2. Decompose quality goals into separate evaluators.
3. Choose built-in evaluators before writing custom evaluators.
4. Keep datasets small and explicit for local validation.
5. Run `nat eval` and inspect generated artifacts.

## References

- `references/operating-mode.md`
- `references/methodology.md`
- `references/agent-eval-framework.md`
- `references/evaluation-surfaces.md`
- `references/evaluation-contract.md`
- `references/evaluators/`
- `references/code-patterns.md`