clean-architecture-scaffolder

clean-architecture-scaffolder is a skill for Claude Code from StefanTheCode/dotnet-ai-toolkit. It costs 129 tokens per session (1,754 once invoked), scanned A, original, MIT.

A scaffolding skill for creating or extending .NET applications using Clean Architecture or Vertical Slice Architecture. Clean Architecture separates areas such as business rules, application logic, infrastructure, and the API; Vertical Slice Architecture organises code by feature.

In plain words
What is it for?
Use it to start a .NET solution, add a feature or use case, create project layers, or set up patterns such as CQRS and MediatR.
Why use it?
It provides a consistent starting structure and can match the conventions already used in an existing codebase.

Skill for Claude Code

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

Part of the dotnet-ai-toolkit plugin — 49 skills shipped together

Good fit Use it to start a .NET solution, add a feature or use…

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Install with agentmods
npx agentmods add skills/stefanthecode/dotnet-ai-toolkit/clean-architecture-scaffolder
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.

Any agent
npx skills add StefanTheCode/dotnet-ai-toolkit --skill clean-architecture-scaffolder
Clone the repo
git clone --depth 1 https://github.com/StefanTheCode/dotnet-ai-toolkit

Made for: Claude Code.

Or install dotnet-ai-toolkit, the plugin that ships this one along with the rest of its 49 skills.

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 clean-architecture-scaffolder

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefanthecode/dotnet-ai-toolkit/clean-architecture-scaffolder.svg)](https://agentmods.dev/skills/stefanthecode/dotnet-ai-toolkit/clean-architecture-scaffolder)
Your own site
<a href="https://agentmods.dev/skills/stefanthecode/dotnet-ai-toolkit/clean-architecture-scaffolder"><img src="https://agentmods.dev/badge/skills/stefanthecode/dotnet-ai-toolkit/clean-architecture-scaffolder.svg" alt="Measured on agentmods" height="20"></a>
Per session 129 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,754 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 $0.00129 $0.01754
Opus 5 $0.00064 $0.00877
Sonnet 5 $0.00026 $0.00351
Haiku 4.5 $0.00013 $0.00175

Measured 7d ago against content hash 32d99d44e307, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

clean-architecture-scaffolder 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 7d 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.

skills/clean-architecture-scaffolder/SKILL.md · 163 lines

How it starts

The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clean / Vertical Slice Architecture Scaffolder

Generate a consistent, opinionated .NET solution structure — either Clean Architecture (layered) or Vertical Slice Architecture (feature-first) — with project references wired correctly and one working sample feature so the pattern is obvious.

Input — point it at your project

For a new solution, just take the name. For an existing project, point this at the repo so it matches the house style instead of imposing one:

  • A project or repo root — detect the current architecture and conventions, then scaffold a new slice/feature that fits.
  • A GitHub URL — clone first, then inspect: git clone --depth 1 <url> /tmp/repo && cd /tmp/repo

Detect the existing style yourself before generating, e.g.:

find <target> -name "*.sln" -o -name "*.csproj" | grep -vi "/obj/\|/bin/"
ls <target>/**/Features 2>/dev/null   # Vertical Slice?  vs  Domain/Application/Infrastructure folders = Clean
grep -rln "ICarterModule\|IRequestHandler\|MediatR\|FluentValidation\|OneOf" --include=*.cs <target> | head

When adding to an existing codebase, read one existing feature first and mirror its conventions (endpoint style, validation, result type) so the new code looks like it belongs.

When this runs

The user is starting a new .NET solution, restructuring one, or adding a feature to an existing one. For new work, decide the style first (ask if unclear). For existing projects, detect the style from the code and match it:

  • Clean Architecture — layered (Domain / Application / Infrastructure / API). Good for larger teams, strong boundaries, swappable infrastructure.
  • Vertical Slice Architecture — organized by feature, each slice self-contained. Good for fast-moving teams, less ceremony, fewer cross-layer jumps.

Also confirm: project name, .NET version (default 8/9), and whether they want CQRS/MediatR (default yes for both styles).

Output: shell commands + key files

Produce (a) the dotnet CLI commands to create projects and references, and (b) the contents of the key files. The user should be able to run the commands and paste the files and have a building solution.

Read the full file on GitHub · 163 lines

Files

What ships with it

1 file 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.

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. 7d ago First seen · 163 lines · 129 tokens per session scan A 32d99d44e307

Subscribe to this mod's changes

clean-architecture-scaffolder is a skill published in the GitHub repository StefanTheCode/dotnet-ai-toolkit (19 stars, last pushed 28d ago), licensed MIT. It adds 129 tokens to every session and 1,754 once invoked, about $0.0006 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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