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/softtor/nestjs-hexagonal/applicationnpx skills add Softtor/nestjs-hexagonal --skill applicationgit clone --depth 1 https://github.com/Softtor/nestjs-hexagonalWhat 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 | $0.00066 | $0.04220 |
| Opus 5 | $0.00033 | $0.02110 |
| Sonnet 5 | $0.00013 | $0.00844 |
| Haiku 4.5 | $0.00007 | $0.00422 |
Grade A, and why
application 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.
How it starts
The opening of the file, as written. The whole thing — 607 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Note: Examples use
companyIdas the multi-tenant identifier. Replace with your project's term (e.g.,organizationId,tenantId).
Application Layer
This skill covers everything inside a bounded context's application/ directory:
use cases, CQRS handlers, DTOs, ports, application services, and Redis read models.
1. Pattern Selection
Work through this flowchart before writing a single line of code.
Does the module already use CQRS (CommandBus / QueryBus)?
├── No → Pattern A (plain UseCase + TOKEN)
└── Yes →
Is this a simple read (findById) with no RBAC or transformation?
├── Yes → Skip use case — inject repository directly in controller
└── No →
Does orchestration span multiple services (QueryBus calls,
multiple ports, complex enrichment)?
├── Yes → Pattern C (Handler as Orchestrator)
└── No → Pattern B (CQRS Command/Query)
Need read model / projections?
└── CQRS R/W separation: write side → Pattern B/C, read side → Redis query handler
(see references/read-model-patterns.md)
Reusable logic between 2+ handlers?
└── Extract into Application Service (@Injectable, in application/services/)
Shared domain logic (no I/O, no framework)?
└── Extract into Domain Service (plain class, in domain/services/)
2. Pattern A — Plain UseCase with TOKEN
Use when the context uses plain use cases without CQRS (e.g., customers, contacts).
Directory layout
application/
├── dtos/
│ └── create-<context>.dto.ts
└── usecases/
├── create-<context>.usecase.ts
└── __tests__/
└── create-<context>.usecase.spec.ts
DTO
// application/dtos/create-<context>.dto.ts
export namespace Create<Context>Dto {
export interface Input {
companyId: string;
name: string;
// add domain-specific fields
}
export interface Output {
id: string;
companyId: string;
name: string;
createdAt: Date;
}
}
What ships with it
6 files 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.
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 · 607 lines · 0 tokens per session scan A fa867684abb6
application is a skill published in the GitHub repository Softtor/nestjs-hexagonal (5 stars, last pushed 22d ago), licensed MIT. It adds 66 tokens to every session and 4,220 once invoked, about $0.0003 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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