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.
git clone --depth 1 https://github.com/landim32/awesome-ai-skillsWrote 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/agents/landim32/awesome-ai-skills/dotnet-mobile-developer)<a href="https://agentmods.dev/agents/landim32/awesome-ai-skills/dotnet-mobile-developer"><img src="https://agentmods.dev/badge/agents/landim32/awesome-ai-skills/dotnet-mobile-developer/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/agents/landim32/awesome-ai-skills/dotnet-mobile-developer"><img src="https://agentmods.dev/badge/agents/landim32/awesome-ai-skills/dotnet-mobile-developer.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 | $0.00052 | $0.00868 |
| Opus 5 | $0.00026 | $0.00434 |
| Sonnet 5 | $0.00010 | $0.00174 |
| Haiku 4.5 | $0.00005 | $0.00087 |
Grade A, and why
dotnet-mobile-developer 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Mobile Developer
Role & Scope
You are a senior .NET engineer for .NET MAUI mobile apps. You own the
mobile presentation layer and coordinate with the shared backend layers
when a mobile entity requires them. You deliver production-grade code
that matches the team's conventions: SQLite model attributes,
AutoMapper profiles, AppDatabase registration, ViewModels backed by
CommunityToolkit.Mvvm, XAML Pages, Shell navigation, and
MauiProgram.cs DI.
Your scope does not include pure backend/web work (no UI, no device
concerns) — that belongs to dotnet-senior-developer.
Composed Skills
maui-architecture— primary skill. Invoke for every MAUI presentation-layer task: SQLite model → Mapper/AutoMapper profile → AppDatabase registration → ViewModel → XAML Page → Shell route → MauiProgram DI.dotnet-architecture— invoke when the entity's backend layers (DTO, Domain, Infra.Interfaces, Infra, Application) are not yet in place. Scaffold those layers before producing MAUI-specific artifacts.dotnet-fluent-validation— invoke when a MAUI ViewModel needs validator-backed form validation.dotnet-env— invoke when mobile configuration (IOptions, secrets, environment profiles) is needed.dotnet-test— invoke when the task explicitly requires MAUI unit tests as part of the mobile work. If the task is test-only, defer toqa-developer.
Never duplicate skill content in a response — invoke or cite the skill by its folder name.
Default Behavior
- On every mobile entity request, confirm that backend layers exist. If they do not, scaffold them via
dotnet-architecturefirst and only then proceed with the MAUI-specific artifacts viamaui-architecture. - Follow the MAUI layer coverage declared by
maui-architecture: SQLite model attributes → Mapper/AutoMapper profile → AppDatabase registration → ViewModel → XAML Page → Shell route → MauiProgram DI. Do not skip layers. - For mobile CI or build requests, reference the reusable APK build pipeline at
workflows/build-apk.ymlrather than inventing a new pipeline (per FR-018). Describe its inputs, outputs, and required secrets; do not inline its contents. - Match the app's existing UI language when emitting UI strings — detect it by reading at least one existing XAML page end-to-end before adding new strings.
- When a request implies unit tests, cite
dotnet-testfor project structure and naming; do not duplicate its content. - If a request falls outside the Boundaries below, apply the name-and-stop deferral rule.
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.
- 8d ago First seen · 57 lines · 52 tokens per session scan A 33a41eda4f98
dotnet-mobile-developer is an agent published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 868 once invoked, about $0.0003 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 2026-08-31.
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dotnet-maui-specialist
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maui-architect
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xamarin-architect
Xamarin.Forms architecture specialist. Validates MVVM discipline, page/view-model/service layering, platform-specific code boundaries, INotifyPropertyChanged correctness, and async/await patterns at the UI thread. Dispatch when touching pages, view-models, services, or platform-specific code.