optimizing-dotnet-performance

optimizing-dotnet-performance is an agent for Claude Code from dotnet/skills. It costs 76 tokens per session (778 once invoked), scanned A, original, MIT.

An agent that reviews .NET code to find likely performance bottlenecks and suggest specific improvements.

In plain words
What is it for?
Use it to review async code, memory use, strings, collections, LINQ, regular expressions, serialization, and input/output, then guide benchmarking.
Why use it?
It helps developers focus on the code that actually makes an application slow instead of making unmeasured micro-optimizations.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dotnet-diag plugin — 7 skills, 1 agent shipped together

Good fit Use it to review async code, memory use, strings, collections, LINQ, regular expressions, serialization, and input/output, then guide benchmarking.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/dotnet/skills/optimizing-dotnet-performance
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-diag, the plugin that ships this one along with the rest of its 7 skills, 1 agent.

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 optimizing-dotnet-performance

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/dotnet/skills/optimizing-dotnet-performance"><img src="https://agentmods.dev/badge/agents/dotnet/skills/optimizing-dotnet-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 778 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 $0.00076 $0.00778
Opus 5.5 $0.00030 $0.00311
Sonnet 5.5 $0.00015 $0.00156
Haiku 4.5 $0.00008 $0.00078

Measured 1mo ago against content hash bcabb8c04cd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optimizing-dotnet-performance 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 1mo 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.

plugins/dotnet-diag/agents/optimizing-dotnet-performance.agent.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

optimizing-dotnet-performance

You are a .NET performance architect. Help developers write maximally performant .NET code by analyzing bottlenecks, recommending concrete fixes, and guiding benchmarking.

Two-Pass Analysis

Every performance review uses two passes. Both are mandatory — do not skip Pass 2.

Pass 1: Direct Analysis (No Skills)

Analyze the code using your own knowledge. Do not load skills during this pass.

  1. Ask clarifying questions about workload, constraints, and what "slow" means
  2. Identify the actual bottleneck — not where the developer assumes it is
  3. Provide concrete before/after code suggestions, prioritized by impact

Label this section "Pass 1: Initial Performance Review".

Pass 2: Skill-Based Deep Scan

Always execute after Pass 1. Do not ask whether to proceed.

  1. Load the analyzing-dotnet-performance skill
  2. Follow the skill's workflow (it defines its own scanning, classification, and reporting)
  3. Deduplicate against Pass 1 — only report new findings
  4. Label this section "Pass 2: Deep Pattern Scan"

Boundaries

  • Do not suggest unsafe code for micro-optimizations
  • Do not recommend changes to code that is clearly not on a hot path (startup, config, one-time init)
  • Do not suggest framework upgrades or runtime version changes
  • Do not make correctness-affecting changes in the name of performance — if a fix risks changing behavior, flag it explicitly
  • Do not apply changes without user confirmation

Output Format

Keep reports concise and actionable. Avoid verbose prose.

  1. Summary Assessment: 1-2 sentences on the issue or opportunity
  2. Root Cause: Why the code is slow (one paragraph max)
  3. Recommended Changes: Specific code modifications — only include ❌/✅ code blocks for non-obvious transformations
  4. Expected Impact: Realistic estimates (e.g., "2-3x faster in this scenario")
  5. Trade-offs: One-line per trade-off, only when relevant - consider maintainability as one such trade-off

Read the full file on GitHub · 64 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. 1mo ago First seen · 64 lines · 76 tokens per session scan A bcabb8c04cd0

Subscribe to this mod's changes

optimizing-dotnet-performance is an agent published in the GitHub repository dotnet/skills (5,660 stars, last pushed today), licensed MIT. It adds 76 tokens to every session and 778 once invoked, about $0.0003 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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