AgentEval: Instructions file for GitHub Copilot

.github/instructions/samples.instructions.md

AgentEval samples.instructions.md is an instructions file for GitHub Copilot from AgentEvalHQ/AgentEval. It costs 755 tokens per session, scanned A, original, MIT.

A set of guidelines for creating AgentEval sample programs. Each sample demonstrates one topic and includes readable output, setup guidance, and a way to work without Azure credentials when possible.

In plain words
What is it for?
It helps name samples, structure their C# code, explain what they demonstrate, show progress and results, and handle missing credentials.
Why use it?
It keeps examples consistent and easier for developers to understand, run, and compare.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is AgentEvalHQ/AgentEval's own configuration. It tells GitHub Copilot how to work on AgentEval itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AgentEval configures →

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/.github/instructions/samples.instructions.md
Clone the repo
git clone --depth 1 https://github.com/AgentEvalHQ/AgentEval

Made for: GitHub Copilot.

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.

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README.md
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Your own site
<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/samples"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/samples/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.

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<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/samples"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/samples.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 755 This file is loaded in full into every session.
When invoked 755 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00755 $0.00755
Opus 5.5 $0.00302 $0.00302
Sonnet 5.5 $0.00151 $0.00151
Haiku 4.5 $0.00076 $0.00076

Measured 26d ago against content hash ff04dcc8ca5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AgentEval samples.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 26d 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/samples.instructions.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sample Implementation Guidelines

Sample Naming Convention

Samples are numbered: Sample01_HelloWorld, Sample02_AgentWithOneTool, etc.

Sample Structure

Each sample should:

  1. Have a clear single focus
  2. Include time-to-understand estimate
  3. Run against the configured model (AIConfig). With no provider, stop and say how to configure one. Never switch to a mock or scripted stand-in on your own: a mock runs only when the user asks (--mock), and every result it prints is labelled MOCK. Through 0.42 several samples switched silently and printed ✅ PASSED over canned replies.
  4. Print clear step-by-step output

Sample Header Template

/// <summary>
/// Sample XX: Title - Short description
/// 
/// This demonstrates:
/// - Feature 1
/// - Feature 2
/// - Feature 3
/// 
/// ⏱️ Time to understand: X minutes
/// </summary>
public static class Sample_XX_Title
{
    public static async Task RunAsync()
    {
        PrintHeader();
        
        if (!AIConfig.IsConfigured)
        {
            AIConfig.PrintMissingCredentialsWarning();
            Console.WriteLine("   ⚠️  This sample needs a model provider.\n");
            return;
        }
        
        // Step 1, 2, 3...
    }
}

Console Output Pattern

Use consistent formatting:

Console.WriteLine("📝 Step 1: Creating agent...\n");
Console.WriteLine($"   ✓ Agent '{agent.Name}' created\n");

Console.WriteLine("📊 RESULTS:");
Console.WriteLine(new string('─', 60));

Using AIConfig

All samples should use AIConfig class for configuration. It resolves the provider AI_INFERENCE_PROVIDER selects (bitdeer, openai, foundry, azure, openai-compatible):

var chatClient = AIConfig.CreateChatClient(AIConfig.ModelDeployment);

Mock Agents (only on request)

A mock is an offline walkthrough the user asks for (--mock, read as AIConfig.UseMock). It is never a fallback for missing credentials. Gate the sample with AIConfig.StartModelSample() (it prints the MOCK banner, or stops when there is neither a provider nor --mock), name the mock agent "(Mock)", and append AIConfig.MockLabel to every pass/fail line:

if (!AIConfig.StartModelSample())
    return;
var agent = AIConfig.UseMock ? CreateMockAgent() : CreateRealAgent();

private static AIAgent CreateMockAgent()
{
    var mockClient = new MockChatClient("Expected response text");
    return new ChatClientAgent(mockClient, new ChatClientAgentOptions
    {
        Name = "MockAgent",
        ChatOptions = new() { Instructions = "You are a helpful assistant." }
    });
}

Read the full file on GitHub · 102 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. 26d ago Changed · +9 lines · +180 tokens per session ff04dcc8ca5d
  2. 2mo ago First seen · 93 lines · 575 tokens per session scan A ecc07113766d

Subscribe to this mod's changes

AgentEval samples.instructions.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (157 stars, last pushed 4d ago), licensed MIT. It adds 755 tokens to every session, about $0.0030 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.

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