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.
curl -O https://raw.githubusercontent.com/AgentEvalHQ/AgentEval/main/.github/instructions/dependency-injection.instructions.mdgit clone --depth 1 https://github.com/AgentEvalHQ/AgentEvalWrote 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.
[](https://agentmods.dev/instructions/agentevalhq/agenteval/dependency-injection)<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/dependency-injection"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/dependency-injection/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.
<a href="https://agentmods.dev/instructions/agentevalhq/agenteval/dependency-injection"><img src="https://agentmods.dev/badge/instructions/agentevalhq/agenteval/dependency-injection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00850 | $0.00850 |
| Opus 5.5 | $0.00340 | $0.00340 |
| Sonnet 5.5 | $0.00170 | $0.00170 |
| Haiku 4.5 | $0.00085 | $0.00085 |
Grade A, and why
AgentEval dependency-injection.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 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.
What it actually says
---
applyTo: "src/AgentEval/DependencyInjection/**/*.cs"
description: Guidelines for dependency injection and service registration
---
# Dependency Injection Guidelines
## Core Principle: Interface-First Development
All core services must depend on abstractions, not concretions. See ADR-006 for full details.
## Service Registration Pattern
```csharp
public static class AgentEvalServiceCollectionExtensions
{
public static IServiceCollection AddAgentEval(
this IServiceCollection services,
Action<AgentEvalServiceOptions>? configure = null)
{
var options = new AgentEvalServiceOptions();
configure?.Invoke(options);
// Register singleton services (stateless)
services.AddSingleton<IStatisticsCalculator, DefaultStatisticsCalculator>();
services.AddSingleton<IToolUsageExtractor, DefaultToolUsageExtractor>();
// Register scoped services (stateful per-operation)
services.AddScoped<IStochasticRunner, StochasticRunner>();
services.AddScoped<IModelComparer>(sp =>
new ModelComparer(sp.GetRequiredService<IStochasticRunner>()));
return services;
}
}
Service Lifetime Guidelines
Singleton (stateless)
Use for services that:
- Have no mutable state
- Are thread-safe
- Can be shared across all requests
Examples: IStatisticsCalculator, IToolUsageExtractor
Scoped (stateful per-operation)
Use for services that:
- Maintain state during a single operation
- Need fresh instance per test run
- Have dependencies on other scoped services
Examples: IStochasticRunner, IModelComparer
Transient (new each time)
Use sparingly for:
- Lightweight, disposable objects
- Objects with very short lifecycles
When NOT to Register as Services
Per service-gap-analysis.md, these should NOT be in DI:
- Builders:
AgentEvalBuilder(fluent API - direct instantiation) - Configuration POCOs:
StochasticOptions,ModelComparisonOptions - Test-time tools:
PerformanceBenchmark,SnapshotComparer
Adding a New Service
-
Define interface in
Core/or domain folder:public interface IMyService { Task<Result> DoWorkAsync(Input input); } -
Implement interface:
public class MyService : IMyService { private readonly IDependency _dependency; public MyService(IDependency dependency) { _dependency = dependency; } public async Task<Result> DoWorkAsync(Input input) { ... } } -
Register in DI:
services.AddScoped<IMyService, MyService>(); -
Inject via constructor (never resolve manually):
public class Consumer(IMyService myService) { }
SOLID Principles in DI
Dependency Inversion (D in SOLID)
// ❌ BAD: Depending on concretion
public class ModelComparer
{
private readonly StochasticRunner _runner; // concrete!
}
// ✅ GOOD: Depending on abstraction
public class ModelComparer : IModelComparer
{
private readonly IStochasticRunner _runner; // interface!
}
Interface Segregation (I in SOLID)
// ✅ GOOD: Separate interfaces for distinct capabilities
public interface ITestableAgent { Task<string> ExecuteAsync(string prompt); }
public interface IStreamableAgent : ITestableAgent { IAsyncEnumerable<string> StreamAsync(string prompt); }
Testing with DI
For unit tests, inject mocks directly:
var mockRunner = new Mock<IStochasticRunner>();
var comparer = new ModelComparer(mockRunner.Object);
For integration tests, use the full DI container:
var services = new ServiceCollection();
services.AddAgentEval();
var provider = services.BuildServiceProvider();
var runner = provider.GetRequiredService<IStochasticRunner>();
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 · 144 lines · 850 tokens per session scan A 0f889f36cb04
AgentEval dependency-injection.instructions.md is an instructions file published in the GitHub repository AgentEvalHQ/AgentEval (157 stars, last pushed 4d ago), licensed MIT. It adds 850 tokens to every session, about $0.0034 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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