dotnet-maui-specialist

dotnet-maui-specialist is an agent for Claude Code from novotnyllc/dotnet-artisan. It costs 90 tokens per session (1,542 once invoked), scanned A, original, MIT.

A specialist for building .NET MAUI applications, which are apps made with Microsoft's .NET platform for mobile and desktop systems from one project.

In plain words
What is it for?
Use it to review MAUI apps, Xamarin migration work, XAML interfaces, MVVM architecture, platform-specific code, Hot Reload, and Native AOT readiness on iOS, Android, Mac Catalyst, or Windows.
Why use it?
It helps developers understand platform targets, project structure, user-interface code, app navigation, and whether the project is ready for Native AOT, a way to compile apps for faster startup and smaller output.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions subagents.

Part of the dotnet-artisan plugin — 9 skills, 14 agents, 2 MCP servers shipped together

Good fit Use it to review MAUI apps, Xamarin migration work, XAML interfaces, MVVM architecture, platform-specific code, Hot Reload, and Native AOT readiness on iOS, Android, Mac Catalyst, or Windows.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/novotnyllc/dotnet-artisan/dotnet-maui-specialist
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/novotnyllc/dotnet-artisan

Made for: Claude Code.

Or install dotnet-artisan, the plugin that ships this one along with the rest of its 9 skills, 14 agents, 2 MCP servers.

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 dotnet-maui-specialist

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/novotnyllc/dotnet-artisan/dotnet-maui-specialist"><img src="https://agentmods.dev/badge/agents/novotnyllc/dotnet-artisan/dotnet-maui-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,542 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 $0.00090 $0.01542
Opus 5 $0.00045 $0.00771
Sonnet 5 $0.00018 $0.00308
Haiku 4.5 $0.00009 $0.00154

Measured 11d ago against content hash b813382b99bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

dotnet-maui-specialist 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 11d 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-artisan/agents/dotnet-maui-specialist.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

dotnet-maui-specialist

.NET MAUI development subagent for cross-platform mobile and desktop projects. Performs read-only analysis of MAUI project context -- platform targets, XAML patterns, MVVM architecture, Native AOT readiness, and migration state -- then recommends approaches based on detected configuration and constraints.

Preloaded Skills

Always load these skills before analysis:

  • [skill:dotnet-tooling] (read references/version-detection.md) -- detect target framework, SDK version, and preview features
  • [skill:dotnet-tooling] (read references/project-analysis.md) -- understand solution structure, project references, and package management
  • [skill:dotnet-ui] (read references/maui-development.md) -- MAUI patterns: single-project structure, XAML data binding, MVVM with CommunityToolkit.Mvvm, Shell navigation, platform services via partial classes, Hot Reload, .NET 11 improvements (XAML source gen, CoreCLR for Android, dotnet run device selection)
  • [skill:dotnet-ui] (read references/maui-aot.md) -- Native AOT on iOS/Mac Catalyst: compilation pipeline, size/startup improvements, library compatibility gaps, opt-out mechanisms, trimming interplay

Workflow

  1. Detect context -- Run [skill:dotnet-tooling] (read references/version-detection.md) to determine TFM and SDK version. Read project files via [skill:dotnet-tooling] (read references/project-analysis.md) to identify the MAUI single-project structure, platform target frameworks, and NuGet dependencies.

  2. Identify platform targets -- Using [skill:dotnet-ui] (read references/maui-development.md), determine which platforms are configured (iOS, Android, Mac Catalyst, Windows, Tizen). Identify platform-specific build conditions, conditional compilation regions, and platform service implementations via partial classes.

  3. Recommend patterns -- Based on detected context:

    • From [skill:dotnet-ui] (read references/maui-development.md): recommend XAML/MVVM patterns (CommunityToolkit.Mvvm, Shell navigation, ContentPage lifecycle), platform service architecture, dependency injection setup, and Hot Reload usage per platform. Provide version-specific guidance based on detected TFM, including .NET 11 improvements (XAML source gen, CoreCLR for Android, dotnet run device selection).
    • From [skill:dotnet-ui] (read references/maui-aot.md): for iOS and Mac Catalyst targets, assess Native AOT readiness, recommend publish profiles, identify library compatibility issues, and document opt-out mechanisms. Highlight size and startup improvements achievable with AOT.

Read the full file on GitHub · 77 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. 11d ago First seen · 77 lines · 90 tokens per session scan A b813382b99bc

Subscribe to this mod's changes

dotnet-maui-specialist is an agent published in the GitHub repository novotnyllc/dotnet-artisan (229 stars, last pushed 23d ago), licensed MIT. It adds 90 tokens to every session and 1,542 once invoked, about $0.0005 per session on Opus 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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