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/g1joshi/agent-skills/hexagonalnpx skills add G1Joshi/Agent-Skills --skill hexagonalgit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/hexagonal)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/hexagonal"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/hexagonal.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.00724 |
| Opus 5 | $0.00008 | $0.00362 |
| Sonnet 5 | $0.00003 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
hexagonal 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 4d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hexagonal Architecture (Ports and Adapters)
Hexagonal Architecture aims to create a loosely coupled application component that can easily connect to their software environment by "ports" and "adapters". It treats the database, the web UI, and external APIs as interchangeable "details" (infrastructure).
When to Use
- When you need to support multiple input channels (e.g., REST API, GraphQL, CLI, Message Queue) for the same business logic.
- When you want to be able to swap "driven" actors (e.g., verify logic with a Mock DB, then swap to Postgres).
- Developing standard microservices.
Quick Start
// --- CORE (Inside the Hexagon) ---
// Port (Driver Port - Input)
type UserService interface {
Register(name string) error
}
// Port (Driven Port - Output)
type UserRepository interface {
Save(user User) error
}
// Application Service (Implementation)
type UserServiceImpl struct {
repo UserRepository
}
func (s *UserServiceImpl) Register(name string) error {
return s.repo.Save(User{Name: name})
}
// --- ADAPTERS (Outside the Hexagon) ---
// Driving Adapter (REST API)
func HandleRegister(w http.ResponseWriter, r *http.Request, svc UserService) {
svc.Register(r.FormValue("name"))
}
// Driven Adapter (Postgres)
type PostgresRepo struct { db *sql.DB }
func (r *PostgresRepo) Save(u User) error { ... }
Core Concepts
Ports
Interfaces that define the entry and exit points of the application.
- Driving Ports (In): API surfaces (what the app can do).
- Driven Ports (Out): Infrastructure dependencies (what the app needs).
Adapters
Concrete implementations that bridge the gap between the Ports and the outside world.
- Driving Adapters: REST Controller, gRPC Handler, CLI Command.
- Driven Adapters: SQL Repository, SMTP Client, Redis Cache.
Common Patterns
Testing with Fake Adapters
Because the core depends on interfaces (Ports), you can implement "Fake" adapters (e.g., InMemoryRepository) to test complex business logic without spinning up Docker containers.
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.
- 4d ago First seen · 98 lines · 16 tokens per session scan A b91b7d801577
hexagonal is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 6mo ago), licensed MIT. It adds 16 tokens to every session and 724 once invoked, about $0.0001 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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