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.
npx agentmods add skills/engineerwithai/engineerwith-agents/architecture-patternsnpx skills add EngineerWithAI/engineerwith-agents --skill architecture-patternsgit clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agentsWhat 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 | $0.00040 | $0.03274 |
| Opus 5 | $0.00020 | $0.01637 |
| Sonnet 5 | $0.00008 | $0.00655 |
| Haiku 4.5 | $0.00004 | $0.00327 |
Grade A, and why
architecture-patterns 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 2d 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.
This is a copy
100% identical to architecture-patterns — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Patterns
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.
When to Use This Skill
- Designing new backend systems from scratch
- Refactoring monolithic applications for better maintainability
- Establishing architecture standards for your team
- Migrating from tightly coupled to loosely coupled architectures
- Implementing domain-driven design principles
- Creating testable and mockable codebases
- Planning microservices decomposition
Core Concepts
1. Clean Architecture (Uncle Bob)
Layers (dependency flows inward):
- Entities: Core business models
- Use Cases: Application business rules
- Interface Adapters: Controllers, presenters, gateways
- Frameworks & Drivers: UI, database, external services
Key Principles:
- Dependencies point inward
- Inner layers know nothing about outer layers
- Business logic independent of frameworks
- Testable without UI, database, or external services
2. Hexagonal Architecture (Ports and Adapters)
Components:
- Domain Core: Business logic
- Ports: Interfaces defining interactions
- Adapters: Implementations of ports (database, REST, message queue)
Benefits:
- Swap implementations easily (mock for testing)
- Technology-agnostic core
- Clear separation of concerns
3. Domain-Driven Design (DDD)
Strategic Patterns:
- Bounded Contexts: Separate models for different domains
- Context Mapping: How contexts relate
- Ubiquitous Language: Shared terminology
Tactical Patterns:
- Entities: Objects with identity
- Value Objects: Immutable objects defined by attributes
- Aggregates: Consistency boundaries
- Repositories: Data access abstraction
- Domain Events: Things that happened
Clean Architecture Pattern
Directory Structure
app/
├── domain/ # Entities & business rules
│ ├── entities/
│ │ ├── user.py
│ │ └── order.py
│ ├── value_objects/
│ │ ├── email.py
│ │ └── money.py
│ └── interfaces/ # Abstract interfaces
│ ├── user_repository.py
│ └── payment_gateway.py
├── use_cases/ # Application business rules
│ ├── create_user.py
│ ├── process_order.py
│ └── send_notification.py
├── adapters/ # Interface implementations
│ ├── repositories/
│ │ ├── postgres_user_repository.py
│ │ └── redis_cache_repository.py
│ ├── controllers/
│ │ └── user_controller.py
│ └── gateways/
│ ├── stripe_payment_gateway.py
│ └── sendgrid_email_gateway.py
└── infrastructure/ # Framework & external concerns
├── database.py
├── config.py
└── logging.py
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.
- 2d ago First seen · 488 lines · 40 tokens per session scan A f2f3fcaebc87
architecture-patterns is a skill published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 3,274 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to architecture-patterns, differing in 7 lines, and is treated as a copy.
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