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 skills add bdfinst/agentic-dev-team --skill hexagonal-architecturegit clone --depth 1 https://github.com/bdfinst/agentic-dev-teamWrote 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/bdfinst/agentic-dev-team/hexagonal-architecture)<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/hexagonal-architecture"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/hexagonal-architecture/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/bdfinst/agentic-dev-team/hexagonal-architecture"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/hexagonal-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00839 |
| Opus 5.5 | $0.00017 | $0.00336 |
| Sonnet 5.5 | $0.00008 | $0.00168 |
| Haiku 4.5 | $0.00004 | $0.00084 |
Grade A, and why
hexagonal-architecture 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hexagonal Architecture (Ports & Adapters)
Overview
Design systems with clear separation between business logic and infrastructure. The domain core has zero dependencies on outer layers; all external interactions flow through explicitly defined ports and adapters.
Core Concepts
Ports
- Interfaces that express application intent independent of technology
- Inbound ports (driving): define use cases the application exposes (e.g.,
CreateOrderUseCase) - Outbound ports (driven): define what the application needs from the outside world (e.g.,
OrderRepository,PaymentGateway)
Adapters
- Concrete implementations that connect ports to external systems
- Inbound adapters: REST controllers, CLI handlers, message consumers, GraphQL resolvers
- Outbound adapters: database repositories, HTTP clients, message publishers, file storage
Dependency Rule
- All dependencies point inward toward the domain core
- Domain knows nothing about adapters, frameworks, or infrastructure
- Adapters depend on ports, never the reverse
Project Structure
src/
├── domain/ # Pure business logic, no framework dependencies
│ ├── model/ # Entities, value objects, aggregates
│ ├── service/ # Domain services
│ └── event/ # Domain events
├── application/ # Use cases / application services
│ ├── port/
│ │ ├── inbound/ # Use case interfaces (driving ports)
│ │ └── outbound/ # Repository/gateway interfaces (driven ports)
│ └── service/ # Use case implementations
├── infrastructure/ # Framework and technology concerns
│ ├── config/ # Dependency injection, app configuration
│ └── persistence/ # Database migrations, ORM config
└── adapter/
├── inbound/ # Controllers, CLI, event consumers
└── outbound/ # Repository impls, API clients, message publishers
Steps
1. Identify Boundaries
- Enumerate all external dependencies (databases, APIs, message brokers, file systems)
- Identify each as an inbound or outbound interaction
- Graph-assisted discovery. Prefer CodeGraph/Repowise over raw
Grepfor locating adapters, port implementations, and cross-layer imports — seeknowledge/codegraph-vs-graphify.mdfor tool selection and the fallback contract.
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 · 86 lines · 42 tokens per session scan A 59a5fda414f7
hexagonal-architecture is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 839 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 2026-09-03.
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