About this skill
Use when evaluating AI model outputs, prompts, and LLM application quality in .NET. Covers Microsoft.Extensions.AI.Evaluation for scoring, reporting, and automated test pipelines. USE FOR: evaluating LLM response quality, measuring prompt effectiveness, automated AI output scoring, building evaluation pipelines for chat applications, comparing model performance across providers DO NOT USE FOR: unit testing non-AI code (use xunit/nunit), load testing HTTP APIs (use k6 or NBomber), monitoring production metrics (use OpenTelemetry), training ML models (use mlnet)
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: c2165e5cb8e64cf8adc71821e60f0ca30f854435dabbf1b8c52520aefc681b6f
About this listing
- Category
- Engineering
- Reported license
- MIT
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.