What is AgentEval AGENTS.md?

Repository instructions for agents developing AgentEval, a .NET toolkit for testing AI agents. It explains the project structure, build and test commands, and the main areas for metrics, tool checks, policies, tracing, and data handling.

Use it when building, testing, or changing the AgentEval codebase. It is relevant to work on AI-agent evaluation, tool-use checks, response-quality measures, behavior rules, trace recording, and replayable tests.

It helps agents follow the project’s established structure and verify changes across its supported .NET versions. It also explains the difference between the toolkit’s public interfaces, core implementations, integrations, and sample projects.

How AgentEvalHQ/AgentEval configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to AgentEvalHQ/AgentEval. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/AgentEvalHQ/AgentEval/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/AgentEvalHQ/AgentEval

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/agentevalhq/agenteval/agents-md/github.svg)](https://agentmods.dev/instructions/agentevalhq/agenteval/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/agents-md"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/agents-md"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,217 This file is loaded in full into every session.

When invoked 2,217 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02217	$0.02217
Opus 5.5	$0.00887	$0.00887
Sonnet 5.5	$0.00443	$0.00443
Haiku 4.5	$0.00222	$0.00222

Measured 2mo ago against content hash 0773c21f2ad0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AgentEval AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentEval Development Instructions

This file provides instructions for AI agents working with the AgentEval codebase.

Project Overview

AgentEval is the comprehensive .NET evaluation toolkit for AI agents, built first for Microsoft Agent Framework (MAF). What RAGAS and DeepEval do for Python, AgentEval does for .NET:

Tool usage validation with fluent assertions
RAG quality metrics (faithfulness, relevance, groundedness)
stochastic evaluation and statistical model comparison
Behavioral policies (NeverCallTool, MustConfirmBefore)
Trace record/replay for deterministic CI testing

Quick Reference

Build & Test

dotnet build                    # Build all projects
dotnet test                     # Run all tests (×3 TFMs)
dotnet run --project samples/AgentEval.Samples

Key Directories

src/AgentEval/ - Umbrella packaging project (NuGet: AgentEval)
src/AgentEval.Abstractions/ - Public contracts: interfaces, models
src/AgentEval.Core/ - Implementations: metrics, assertions, comparison, tracing
src/AgentEval.DataLoaders/ - Data loaders, exporters, output formatting
src/AgentEval.MAF/ - Microsoft Agent Framework integration
src/AgentEval.Memory/ - Memory evaluation (retention, temporal, cross-session, benchmarks)
src/AgentEval.RedTeam/ - Security scanning, attack types, compliance
tests/AgentEval.Tests/ - Unit tests (mirrors src structure)
tests/AgentEval.Memory.Tests/ - Memory module unit tests
samples/AgentEval.Samples/ - 41 runnable samples
docs/ - Documentation

Core Interfaces

IMetric → IRAGMetric, IAgenticMetric
IEvaluableAgent → IStreamableAgent
IEvaluationHarness → MAFEvaluationHarness

Metric Naming

llm_* = LLM-evaluated (API cost)
code_* = Code-computed (free)
embed_* = Embedding-based

Assertions Entry Points

result.ToolUsage!.Should()    // Tool assertions
result.Performance!.Should()   // Performance assertions
result.ActualOutput!.Should()  // Response assertions

Read the full file on GitHub · 227 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 227 lines · 2,217 tokens per session scan A 0773c21f2ad0

Subscribe to this mod's changes

AgentEval AGENTS.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (157 stars, last pushed 4d ago), licensed MIT. It adds 2,217 tokens to every session, about $0.0089 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Testing agent agentic evals evaluations framework net

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

AgentEval: Instructions file for Codex