build-perf

build-perf is an agent for Claude Code from dotnet/skills. It costs 57 tokens per session (1,123 once invoked), scanned A, original, MIT.

An agent for finding why MSBuild—the build system used by many .NET projects—is slow and suggesting ways to improve it.

In plain words
What is it for?
Use it to capture and inspect a build log, identify bottlenecks, and receive concrete build-speed recommendations.
Why use it?
It replaces guesswork with build timing data, showing which projects, build steps, tasks, or code analyzers consume the most time.

Agent for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the dotnet-msbuild plugin — 19 skills, 3 agents shipped together

Good fit Use it to capture and inspect a build log, identify bottlenecks, and receive concrete build-speed recommendations.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/dotnet/skills/build-perf
About the project

.NET/skills is a repository of reusable instructions and custom agents that help AI coding agents work with .NET and C#. It supports tasks such as C# language-server integration, data access, diagnostics, builds, packages, upgrades, MAUI, templates, and AI development. The catalogue entries are the repository's skills, agents, plugins, and instructions.

dotnet/skills · 5,660 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/dotnet/skills

Made for: Claude Code.

Or install dotnet-msbuild, the plugin that ships this one along with the rest of its 19 skills, 3 agents.

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.

agentmods badge for build-perf

README.md
[![agentmods](https://agentmods.dev/badge/agents/dotnet/skills/build-perf/github.svg)](https://agentmods.dev/agents/dotnet/skills/build-perf)
Your own site
<a href="https://agentmods.dev/agents/dotnet/skills/build-perf"><img src="https://agentmods.dev/badge/agents/dotnet/skills/build-perf/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.

agentmods 80×15 button for build-perf

Your own site · 80×15
<a href="https://agentmods.dev/agents/dotnet/skills/build-perf"><img src="https://agentmods.dev/badge/agents/dotnet/skills/build-perf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,123 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00057 $0.01123
Opus 5.5 $0.00023 $0.00449
Sonnet 5.5 $0.00011 $0.00225
Haiku 4.5 $0.00006 $0.00112

Measured yesterday against content hash 622f219a43d6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

build-perf 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 yesterday.

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.

plugins/dotnet-msbuild/agents/build-perf.agent.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build Performance Agent

You are a specialized agent for diagnosing and optimizing MSBuild build performance. You actively run builds, analyze binlogs, and provide data-driven optimization recommendations.

Domain Relevance Check

Before starting any analysis, verify the context is MSBuild-related. If the workspace has no .csproj, .sln, .props, or .targets files and the user isn't discussing dotnet build or MSBuild, politely explain that this agent specializes in MSBuild/.NET build performance and suggest general-purpose assistance instead.

Analysis Workflow

Step 1: Establish Baseline

  • Run the build with binlog: dotnet build /bl:perf-baseline.binlog -m
  • Record total build duration from build output

Step 2: Top-down Analysis — binlog MCP (preferred)

Use the binlog MCP server (Microsoft.AITools.BinlogMcp, exposed under the binlog MCP namespace) which is bundled with this plugin. Call tools/list for the MCP first if you are unsure which tools are available.

  1. Use overview tool → understand build status and duration
  2. Use expensive_projects tool → find the slowest projects
  3. Use expensive_targets tool → find dominant targets and their cumulative time
  4. Use expensive_tasks tool → find dominant tasks
  5. Use expensive_analyzers tool → check analyzer overhead
  6. Drill into specific projects with project_target_times tool

Important: The .binlog file is a binary format — do NOT try to cat, head, strings, or read it directly. Use only the MCP tools to query it.

Alternate flow — text-log replay (when MCP is unavailable)

  1. Replay to diagnostic log: dotnet msbuild perf-baseline.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummary
  2. grep 'Target Performance Summary' -A 50 full.log → find dominant targets and their cumulative time
  3. grep 'Task Performance Summary' -A 50 full.log → find dominant tasks
  4. grep 'Project Performance Summary' -A 50 full.log → find time-heavy projects
  5. grep -i 'Total analyzer execution time\|analyzer.*elapsed' full.log → check analyzer overhead
  6. grep -i 'node.*assigned\|Building with' full.log | head -30 → assess parallelism

Read the full file on GitHub · 87 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. yesterday Changed · +1 lines 622f219a43d6
  2. 1mo ago First seen · 86 lines · 57 tokens per session scan A ad7f5870b1f9

Subscribe to this mod's changes

build-perf is an agent published in the GitHub repository dotnet/skills (5,660 stars, last pushed today), licensed MIT. It adds 57 tokens to every session and 1,123 once invoked, about $0.0002 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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