Borrowing it
Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet/SKILL.mdgit clone --depth 1 https://github.com/managedcode/PrompterOneWrote 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/skills/managedcode/prompterone/dotnet)<a href="https://agentmods.dev/skills/managedcode/prompterone/dotnet"><img src="https://agentmods.dev/badge/skills/managedcode/prompterone/dotnet/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/skills/managedcode/prompterone/dotnet"><img src="https://agentmods.dev/badge/skills/managedcode/prompterone/dotnet.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 | $0.00044 | $0.01105 |
| Opus 5.5 | $0.00018 | $0.00442 |
| Sonnet 5.5 | $0.00009 | $0.00221 |
| Haiku 4.5 | $0.00004 | $0.00111 |
Grade A, and why
dotnet 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
.NET Router Skill
Trigger On
- the user asks for general
.NEThelp without naming a narrower framework or tool - implementing, debugging, reviewing, or refactoring C# or
.NETcode in a repo with multiple app models or frameworks - deciding which
.NETskill should own a task before editing code - tasks that combine platform work with testing, quality, architecture, setup, or migration decisions
Workflow
- Detect the real stack first:
- target frameworks and SDK version
LangVersion- project SDKs and workload hints
- hosting model and app entry points
- test framework and runner
- analyzers, formatters, coverage, and CI quality gates
- Route to the narrowest platform skill as soon as the stack is known:
- Web:
dotnet-aspnet-core,dotnet-minimal-apis,dotnet-web-api,dotnet-blazor,dotnet-signalr,dotnet-grpc - Cloud and hosting:
dotnet-aspire,dotnet-azure-functions,dotnet-worker-services - Desktop and client:
dotnet-maui,dotnet-wpf,dotnet-winforms,dotnet-winui - Data and distributed:
dotnet-entity-framework-core,dotnet-entity-framework6,dotnet-orleans - AI and agentic:
dotnet-semantic-kernel,dotnet-microsoft-extensions-ai,dotnet-microsoft-agent-framework,dotnet-mlnet,dotnet-mixed-reality - Legacy:
dotnet-legacy-aspnet,dotnet-wcf,dotnet-workflow-foundation
- Web:
- Route cross-cutting work to the companion skill instead of keeping it inside generic
.NETadvice:- project bootstrap or repo shape:
dotnet-project-setup,dotnet-architecture - frontend asset analysis in mixed
.NETplus Node repos:dotnet-eslint,dotnet-stylelint,dotnet-htmlhint,dotnet-webhint,dotnet-biome,dotnet-sonarjs,dotnet-metalint,dotnet-chous - code review:
dotnet-code-review - language features:
dotnet-modern-csharp - testing:
dotnet-tunit,dotnet-xunit,dotnet-mstest - format, analyzers, coverage, and CI:
dotnet-format,dotnet-code-analysis,dotnet-quality-ci,dotnet-coverlet,dotnet-reportgenerator - maintainability and architecture rules:
dotnet-complexity,dotnet-netarchtest,dotnet-archunitnet
- project bootstrap or repo shape:
- If more than one specialized skill applies, prefer the one closest to the user-visible behavior first, then pull in the quality or tooling skill second.
- Do not stop at this skill once a narrower match exists. This skill should classify and hand off, not become a generic dumping ground.
- After code changes, validate with the repository's actual build, test, and quality workflow instead of generic
.NETcommands.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 74 lines · 44 tokens per session scan A 0367d30c8a45
dotnet is a skill published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,105 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.
Other skills, from other repositories
microsoft-extensions-ai
Build provider-agnostic .NET AI integrations with Microsoft.Extensions.AI, IChatClient, embeddings, middleware, structured output, vector search, and evaluation. USE FOR: building or reviewing .NET code that uses Microsoft.Extensions.AI, Microsoft.Extensions.AI.Abstractions, IChatClient, IEmbeddingGenerator…
semantic-kernel
Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable. USE FOR: adding AI-driven prompts, plugins, or orchestration to a .NET app; reviewing kernel construction, service registration, or plugin usage; building…
sep
Use Sep for high-performance separated-value parsing and writing in .NET, including delimiter inference, explicit parser/writer options, and low-allocation row/column workflows. USE FOR: delimited data needs are performance-sensitive and allocation-aware; project needs explicit control over separator inference…
managedcode-markitdown
Use ManagedCode.MarkItDown when a .NET application needs deterministic document-to-Markdown conversion for ingestion, indexing, summarization, or content-processing workflows. USE FOR: ManagedCode.MarkItDown integration; document ingestion flows; Office or rich-text conversion to Markdown; indexing and summarization…
maui-essentials-ai
Adopt Microsoft.Maui.Essentials.AI for local/on-device MAUI AI. USE FOR: Apple Intelligence chat, IChatClient, iOS/macOS/Mac Catalyst 26+ checks, fallback UI, NLEmbeddingGenerator, local tool invocation, privacy/offline UX. DO NOT USE FOR: source-generated tools, cloud-only AI, UI debugging.
mlnet
Use ML.NET to train, evaluate, or integrate machine-learning models into .NET applications with realistic data preparation, inference, and deployment expectations. USE FOR: ML.NET integration; local model training or retraining; inference pipelines, model loading, evaluation, and deployment review. DO NOT USE FOR…