AgentEval documentation.instructions.md

A set of writing rules for AgentEval documentation. AgentEval is a .NET toolkit for evaluating AI agents, and the rules cover its terminology, tone, and document structure.

In plain words
What is it for?
Use it when writing or revising AgentEval guides, sample documentation, feature descriptions, and other project docs.
Why use it?
It keeps documentation consistent and prevents unsupported claims, repeated explanations, and references to information that should remain internal.

Instructions file for GitHub Copilot

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/agentevalhq/agenteval/documentation
Clone the repo
git clone --depth 1 https://github.com/AgentEvalHQ/AgentEval

Made for: GitHub Copilot.

Per session 1,257 This file is loaded in full into every session.
When invoked 1,257 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.01257 $0.01257
Opus 5 $0.00629 $0.00629
Sonnet 5 $0.00251 $0.00251
Haiku 4.5 $0.00126 $0.00126

Measured 2d ago against content hash 16a90b5c66a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AgentEval documentation.instructions.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 2d 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.

.github/instructions/documentation.instructions.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentEval Documentation Guidelines

🎯 Core Principles

1. Evaluation First, Testing Second

  • Lead with evaluation capabilities (quality metrics, LLM-as-judge)
  • Follow with testing infrastructure (assertions, CI/CD)
  • Frame testing as "automation of evaluation results"

2. Never Reveal Future Plans

Unless explicitly asked:

  • Do NOT discuss upcoming features or planned changes
  • Do NOT reference strategic direction or internal plans
  • Do NOT mention /strategy folder content
  • Focus on what IS available, not what WILL BE

3. No Redundancy - Point to Documents

  • Never repeat detailed information already in another document
  • Link to specific documents: "See assertions.md for details"
  • Only repeat key principles or critical safety information

4. No Specific Numbers or Versions

❌ Don't Use ✅ Use Instead
"3,015+ tests" "comprehensive test suite"
"21 samples" "detailed examples"
"v0.2.0-beta" "current version"

🏷️ Brand Identity

Primary Tagline: "The .NET Evaluation Toolkit for AI Agents"

AgentEval IS:

  • The .NET equivalent of RAGAS and DeepEval for Python
  • Built first for Microsoft Agent Framework (MAF)
  • An evaluation framework that also does testing

AgentEval is NOT:

  • Just a testing framework
  • A Python port or wrapper
  • A simple assertion library

Terminology Standards

✅ Preferred ❌ Avoid Context
evaluation testing Core purpose description
evaluate test When describing metrics
evaluation run test run Metric execution
evaluation result test result Metric outputs

Exception: "Testing" is acceptable when discussing xUnit/NUnit/MSTest or CI/CD.


📚 Documentation Structure

Folder Layout

  • docs/ - Main documentation folder
  • docs/adr/ - Architecture Decision Records
  • docs/api/ - Generated API reference
  • docs/showcase/ - Examples and case studies
  • README.md - Project overview
  • CONTRIBUTING.md - Contribution guidelines

Read the full file on GitHub · 202 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.

  1. 2d ago First seen · 202 lines · 1,257 tokens per session scan A 16a90b5c66a7

Subscribe to this mod's changes

AgentEval documentation.instructions.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (138 stars, last pushed 2d ago), licensed MIT. It adds 1,257 tokens to every session, about $0.0063 per session on Opus 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.