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.
npx agentmods add instructions/agentevalhq/agenteval/documentationgit clone --depth 1 https://github.com/AgentEvalHQ/AgentEvalWhat 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 | $0.01257 | $0.01257 |
| Opus 5 | $0.00629 | $0.00629 |
| Sonnet 5 | $0.00251 | $0.00251 |
| Haiku 4.5 | $0.00126 | $0.00126 |
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.
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 folderdocs/adr/- Architecture Decision Recordsdocs/api/- Generated API referencedocs/showcase/- Examples and case studiesREADME.md- Project overviewCONTRIBUTING.md- Contribution guidelines
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.
- 2d ago First seen · 202 lines · 1,257 tokens per session scan A 16a90b5c66a7
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.
Other instructions, from other repositories
zeroclaw CLAUDE.md
Instructions for zeroclaw-labs/zeroclaw, covering claude.md — zeroclaw (claude code), claude code settings, hooks and slash commands.
openagent CLAUDE.md
Claude Code instructions for the-open-agent/openagent, covering claude.md, commands, architecture, backend (go / beego) and frontend (react).
Tracely-ai CLAUDE.md
Claude Code instructions for Jwuthri/Tracely-ai, covering claude.md, commands, architecture, hard rules and gotchas.
nuwax AGENTS.md
Instructions for nuwax-ai/nuwax, covering ai agent system documentation, 系统概述, ai agent 架构, 核心组件 and ai 功能特性.
zhin zhin-plugin.instructions.md
Instructions for zhinjs/zhin, covering zhin plugin runtime authoring, package contract, convention directories, imports and native typescript and command routes.
OpenPersona AGENTS.md
Instructions for acnlabs/OpenPersona, covering agents.md, project overview, setup, project structure and architecture rules.