Borrowing it
Nothing to install: this file belongs to gianverdum/ai-dev-skillset. 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/gianverdum/ai-dev-skillset/main/.agents/skills/architecture-ddd-clean-arch/SKILL.mdgit clone --depth 1 https://github.com/gianverdum/ai-dev-skillsetWrote 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/gianverdum/ai-dev-skillset/architecture-ddd-clean-arch)<a href="https://agentmods.dev/skills/gianverdum/ai-dev-skillset/architecture-ddd-clean-arch"><img src="https://agentmods.dev/badge/skills/gianverdum/ai-dev-skillset/architecture-ddd-clean-arch/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/gianverdum/ai-dev-skillset/architecture-ddd-clean-arch"><img src="https://agentmods.dev/badge/skills/gianverdum/ai-dev-skillset/architecture-ddd-clean-arch.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 | $0.00248 | $0.11617 |
| Opus 5 | $0.00124 | $0.05809 |
| Sonnet 5 | $0.00050 | $0.02323 |
| Haiku 4.5 | $0.00025 | $0.01162 |
Grade A, and why
architecture-ddd-clean-arch 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.
How it starts
The opening of the file, as written. The whole thing — 888 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DDD + Clean Architecture
Use esta skill sempre que for desenvolver algo novo ou editar algo já desenvolvido em estilo Clean Architecture.
Precedência entre Clean Architecture e Hexagonal
A escolha NÃO é por preferência do agente. Siga esta ordem:
- Padrão do projeto existente — se o repositório já tem layout Clean Arch (
domain/,application/,interface/,infrastructure/), preserve. Se o repo já é hexagonal (ports/,adapters/in,adapters/out), use a skillarchitecture-ddd-hexagonalem vez desta. - Solicitação do usuário — quando o usuário pedir "hexagonal", "ports and adapters" ou "hex", aplique
architecture-ddd-hexagonal. Quando pedir "clean architecture" ou similar, aplique esta skill. - Default — na ausência de padrão local e de pedido explícito, use esta skill (Clean Architecture).
Nunca misture os dois layouts no mesmo módulo.
Princípios
- Preserve o domínio como centro da aplicação.
- Mantenha regras de negócio independentes de frameworks, banco de dados, filas, HTTP, UI e serviços externos.
- Faça dependências apontarem para dentro: camadas externas podem conhecer camadas internas, mas camadas internas não devem depender de detalhes externos.
- Modele comportamento de domínio no domínio, não em controllers, handlers, repositories ou componentes de interface.
- Prefira nomes da linguagem ubíqua do projeto aos nomes técnicos genéricos.
- Nomes de modulo, pacote e diretorio refletem o DOMINIO, nao a tecnologia de entrega nem a interface implementada. Sufixos como
_cli,_api,_web,_rest,_grpc,_gui,_service,_libou seus equivalentes idiomaticos NAO entram no nome do pacote/modulo; ficam apenas no nome publicado do projeto (ex.:pyproject.toml [project] name,package.json name, artefato Maven/NuGet) quando precisar distinguir entregas. Exemplos: pacote Pythoncalculadorapublicado comocalculadora-cli; modulo Gopaymentsexposto viacmd/payments-api/; crate Rustauthpublicado comoauth-cli. O fato de a entrega atual ser CLI, API ou GUI nao muda o nome do modulo: o dominio e estavel, a interface e substituivel. - Quando houver dúvida sobre nomenclatura de arquivos, pacotes, módulos, classes ou estrutura inicial, consulte a rule da linguagem em
.agents/rulese preserve o padrão local se ele existir. - Identificadores de codigo (variaveis, funcoes, classes, modulos, pacotes, testes, logs) seguem a rule
coding-language-english: ingles e o idioma exclusivo de codificacao, com excecoes apenas para termos intraduziveis do dominio. Mensagens voltadas ao usuario nao sao literais em outro idioma no codigo: ou estao em ingles como default, ou sao chaves de i18n.
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.
- 11d ago First seen · 888 lines · 0 tokens per session scan A a2d53af35625
architecture-ddd-clean-arch is a skill published in the GitHub repository gianverdum/ai-dev-skillset (5 stars, last pushed 2mo ago), licensed MIT. It adds 248 tokens to every session and 11,617 once invoked, about $0.0012 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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