AgentEvalHQ/AgentEval

AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET

Latest release v0.42.0-beta — v0.42.0-beta — MAF 1.23, Gatekeeper v1, over-refusal beside attack success, honest-scoring fixes · 1 Oct 2026

15 files for GitHub Copilot, Codex, OpenCode and Claude Code: AgentEval copilot-instructions.md, AgentEval assertions.instructions.md, AgentEval dependency-injection.instructions.md, AgentEval docfx.instructions.md and 11 more — 24,461 tokens loaded in every session.

157Stars on the repository
15Files it configures its agents with
24,461Tokens loaded in every session
4Agents configured

Instructions

These files are AgentEvalHQ/AgentEval's own configuration — they tell GitHub Copilot, Codex, OpenCode and Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.