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

138Stars on the repository
22Mods indexed here, across every type
yesterdayLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

dotnet-inspect

01

AgentEvalHQ/AgentEval

Skill Claude CodeCodex

Query .NET APIs across NuGet packages, platform libraries, and local files. Search for types, list API surfaces, compare and diff versions, find extension methods and implementors. Use whenever you need to answer questions about .NET library contents.

138 yesterday A 54 tokens original MIT

expense-report

02

AgentEvalHQ/AgentEval

Skill Claude CodeCodex

Summarizes and validates company expense reports against the corporate travel & meal policy, including per-meal spending caps. Use this skill whenever the user asks about expense-report policy limits, whether a specific expense complies with policy, or asks you to compute the overage amount for a meal expense.

138 yesterday A 61 tokens original MIT