Helps write and run ad hoc BenchmarkDotNet tests to validate performance changes in .NET.
Install
mkdir -p .claude/skills/performance-benchmark && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1034" && unzip -o skill.zip -d .claude/skills/performance-benchmark && rm skill.zipInstalls to .claude/skills/performance-benchmark
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Generate and run ad hoc performance benchmarks to validate code changes. Use this when asked to benchmark, profile, or validate the performance impact of a code change in dotnet/runtime.Key capabilities
- →Generate BenchmarkDotNet microbenchmarks
- →Trigger EgorBot for automated performance runs
- →Isolate setup logic using GlobalSetup
- →Return values to prevent dead code elimination
- →Benchmark hot paths and typical usage
How it works
Developers write a BenchmarkDotNet class with specific attributes, then trigger EgorBot via a PR comment to execute the code against the base branch.
Inputs & outputs
When to use performance-benchmark
- →Creating performance benchmarks
- →Profiling code change impact
- →Validating runtime performance
- →Identifying performance bottlenecks
About this skill
Ad Hoc Performance Benchmarking Locally (or with @EgorBot)
When you need to validate the performance impact of a code change, follow this process to write a BenchmarkDotNet benchmark and compare local baseline and changed builds.
Step 1: Write the Benchmark
Create a BenchmarkDotNet benchmark that tests the specific operation being changed. Follow these guidelines:
Benchmark Structure
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
BenchmarkSwitcher.FromAssembly(typeof(Bench).Assembly).Run(args);
public class Bench
{
// Add setup/cleanup if needed
[GlobalSetup]
public void Setup()
{
// Initialize test data
}
[Benchmark]
public void MyOperation()
{
// Test the operation
}
}
Best Practices
For comprehensive guidance, see the Microbenchmark Design Guidelines.
Key principles:
- Move initialization to
[GlobalSetup]: Separate setup logic from the measured code to avoid measuring allocation/initialization overhead - Return values from benchmark methods to prevent dead code elimination
- Avoid loops: BenchmarkDotNet invokes the benchmark many times automatically; adding manual loops distorts measurements
- No side effects: Benchmarks should be pure and produce consistent results
- Focus on common cases: Benchmark hot paths and typical usage, not edge cases or error paths
- Use consistent input data: Always use the same test data for reproducible comparisons
- Avoid
[DisassemblyDiagnoser]: It causes crashes on Linux. Use--envvars DOTNET_JitDisasm:MethodNameinstead - Benchmark class requirements: Must be
public, notsealed, notstatic, and must be aclass(not struct)
Example: String Operation Benchmark
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
BenchmarkSwitcher.FromAssembly(typeof(Bench).Assembly).Run(args);
[MemoryDiagnoser]
public class Bench
{
private string _testString = default!;
[Params(10, 100, 1000)]
public int Length { get; set; }
[GlobalSetup]
public void Setup()
{
_testString = new string('a', Length);
}
[Benchmark]
public int StringOperation()
{
return _testString.IndexOf('z');
}
}
Example: Collection Operation Benchmark
using System.Linq;
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
BenchmarkSwitcher.FromAssembly(typeof(Bench).Assembly).Run(args);
[MemoryDiagnoser]
public class Bench
{
private int[] _array = default!;
private List<int> _list = default!;
[Params(100, 1000, 10000)]
public int Count { get; set; }
[GlobalSetup]
public void Setup()
{
_array = Enumerable.Range(0, Count).ToArray();
_list = _array.ToList();
}
[Benchmark]
public bool AnyArray() => _array.Any();
[Benchmark]
public bool AnyList() => _list.Any();
[Benchmark]
public int SumArray() => _array.Sum();
[Benchmark]
public int SumList() => _list.Sum();
}
Step 2: Prepare Baseline and Changed Runtime Builds
At this point the change is typically already present in the working tree.
- Save only the intended changes safely in a commit, patch, or separate worktree. Do not stash or revert unrelated changes.
- Temporarily remove the changes and return the source to the baseline state.
- Build Release runtime and testhost artifacts. For JIT, VM, and shared-framework library changes, run the repository build script for the current operating system with:
./build.cmd|.sh clr+libs -rc Release -lc Release
The libs subset includes libs.pretest, which constructs and updates the testhost. The libs.tests subset is not needed for benchmarking.
- Copy the generated testhost directory next to itself as
testhost_baseline:
artifacts/bin/testhost -> artifacts/bin/testhost_baseline
- Restore the changes and run exactly the same Release build again. You can save time by just copying the changed bit to the artifacts/bin/testhost if you know exactly which component was changed.
The baseline remains in artifacts/bin/testhost_baseline, while the normal artifacts/bin/testhost directory now contains the changed runtime. Use the corresponding CoreRun executable under each directory.
Copying the directory preserves the baseline while leaving the normal testhost and other artifacts available for an incremental changed build. If the changed runtime was already built before restoring the baseline source, clean or explicitly rebuild the affected component to avoid capturing stale binaries.
For libraries outside the shared framework, build the library in Release and place the exact baseline or changed assembly, plus required dependencies, beside the corresponding CoreRun. Use the same layout for both testhosts.
Step 3: Run the Benchmark Locally
Run the benchmark created in Step 1 against both hosts. The first CoreRun is the baseline:
dotnet run -c Release -- --filter "*" --coreRun "<baseline-corerun>" "<changed-corerun>"
Use a BenchmarkDotNet version compatible with the repository's current target framework. If it fails with GetRuntimeVersion not implemented for NotRecognized, update BenchmarkDotNet to a compatible preview or nightly version.
Optionally, you can pass additional environment variables to the benchmark process using --envvars. For example, to enable JIT disassembly for a specific method:
--envvars DOTNET_JitDisasm:MethodName
@EgorBot Usage
@EgorBot is a GitHub bot that runs BenchmarkDotNet snippets against dotnet/runtime PR changes and reports comparisons with the PR's base branch. It is only useful on GitHub for PRs in the dotnet/runtime repository.
Only use @EgorBot when the user explicitly asks for it. Prefer the local workflow above otherwise. The bot will notify you when results are ready, so do not wait for them.
Post a comment on the PR to trigger EgorBot with the benchmark. The general format is:
📝 AI-generated content disclosure: When posting benchmark comments to GitHub under a user's credentials — i.e., the account is not a dedicated "copilot" or "bot" account/app (e.g.,
github-actions[bot],copilot) — you MUST include a concise, visible note (e.g. a> [!NOTE]alert) at the bottom of the content indicating the content was AI/Copilot-generated. Skip this if the user explicitly asks you to omit it.
@EgorBot [targets] [options] [BenchmarkDotNet args]
// Your benchmark code here
Note: When using @EgorBot, follow these formatting rules:
- The @EgorBot command must not be inside the code block.
- Only the benchmark code should be inside the code block.
- Do not place any additional text between the @EgorBot command line and the code block, as EgorBot will treat it as additional command arguments.
Target Flags
-linux_amd-linux_intel-windows_amd-windows_intel-linux_arm64-osx_arm64(baremetal, feel free to always include it)
The most common combination is -linux_amd -osx_arm64. Do not include more than 3 targets.
Common Options
Use -profiler when absolutely necessary along with -linux_arm64 and/or -linux_amd to include perf profiling and disassembly in the results.
Example: Basic PR Benchmark
To benchmark the current PR changes against the base branch:
@EgorBot -linux_amd -osx_arm64
using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
BenchmarkSwitcher.FromAssembly(typeof(Bench).Assembly).Run(args);
[MemoryDiagnoser]
public class Bench
{
[Benchmark]
public int MyOperation()
{
// Your benchmark code
return 42;
}
}
Important Notes
- Bot response time: EgorBot uses polling and may take up to 30 seconds to respond
- Supported repositories: EgorBot monitors
dotnet/runtimeandEgorBot/runtime-utils - PR mode (default): When posting in a PR, EgorBot automatically compares the PR changes against the base branch
- Results variability: Results may vary between runs due to VM differences. Do not compare results across different architectures or cloud providers
- Check the manual: EgorBot replies include a link to the manual for advanced options
Additional Resources
- Microbenchmark Design Guidelines - Essential reading for writing effective benchmarks
- BenchmarkDotNet CLI Arguments
- EgorBot Manual
When not to use it
- →Benchmarking edge cases or error paths
- →Comparing results across different cloud providers
- →Using DisassemblyDiagnoser on Linux
Prerequisites
Limitations
- →Results vary between runs due to VM differences
- →EgorBot polling can take up to 30 seconds
- →Maximum of 4 target flags per run
How it compares
Unlike manual local benchmarking, this workflow uses a bot to run standardized tests across specific hardware targets and automatically compares results against the base branch.
Compared to similar skills
performance-benchmark side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| performance-benchmark (this skill) | 3 | 4mo | No flags | Intermediate |
| mutation-testing | 0 | — | Review | Advanced |
| dotnet-testing-nsubstitute-mocking | 0 | 5mo | No flags | Beginner |
| asynkron-profiler | 0 | 1mo | Review | Intermediate |
Try saying
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