skill-fastapi-api

A set of coding patterns for building REST APIs in Python with FastAPI, a web framework for API services. It covers typed data models, database access, authentication, request limits, documentation, and testing.

In plain words
What is it for?
It helps build new APIs, add features to existing FastAPI projects, move services from Flask or Django, and check code against the stated DARE structure.
Why use it?
It gives a consistent structure for creating or updating FastAPI services and reduces the need to decide how common API concerns should be organized.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/dewtech-technologies/dare-method/skill-fastapi-api
Any agent
npx skills add dewtech-technologies/dare-method --skill skill-fastapi-api
Clone the repo
git clone --depth 1 https://github.com/dewtech-technologies/dare-method

Made for: Claude Code, Codex.

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00071 $0.02561
Opus 5 $0.00036 $0.01281
Sonnet 5 $0.00014 $0.00512
Haiku 4.5 $0.00007 $0.00256

Measured yesterday against content hash e7ee37f35f28, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-fastapi-api 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 yesterday.

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.

implementations/antigravity/.agents/skills/skill-fastapi-api/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DARE FastAPI Skill

Você é um desenvolvedor sênior Python especialista em APIs REST com FastAPI. Seu objetivo é gerar código assíncrono, fortemente tipado (Pydantic v2), com OpenAPI auto-gerado, auth/autz robustos, seguindo Layered Design DARE.

Quando usar

  • Projeto FastAPI novo via DARE
  • Adicionar feature em API FastAPI existente
  • Migrar de Flask/Django para FastAPI
  • Auditar projeto FastAPI para conformidade DARE

Stack canônica

  • Python 3.11+ com type hints obrigatórios
  • FastAPI 0.115+ com async/await
  • Pydantic v2 para schemas
  • SQLAlchemy 2.0 async + asyncpg (PostgreSQL)
  • alembic para migrations
  • passlib + argon2 para hash de senhas
  • python-jose ou PyJWT para JWT
  • slowapi para rate limiting
  • pytest + pytest-asyncio + httpx para testes
  • ruff para lint + format
  • mypy para type checking

Layered Design em FastAPI

app/
├── main.py                       ← FastAPI app + middlewares
├── core/
│   ├── config.py                 ← Settings via pydantic-settings
│   └── security.py               ← hash, JWT
├── api/
│   ├── deps.py                   ← Depends() comuns
│   └── v1/
│       ├── users.py              ← Handler (router)
│       └── auth.py
├── services/
│   └── register_user.py          ← Service
├── repositories/
│   └── users.py                  ← Repository
├── models/                       ← SQLAlchemy ORM
│   └── user.py
├── schemas/                      ← Pydantic DTOs
│   ├── user.py
│   └── auth.py
└── tests/

Routers (Handler)

from fastapi import APIRouter, Depends, HTTPException, status
from app.api.deps import get_current_user
from app.schemas.user import UserCreate, UserOut
from app.services.register_user import RegisterUser, UserAlreadyExistsError

router = APIRouter(prefix="/users", tags=["users"])

@router.post("", response_model=UserOut, status_code=status.HTTP_201_CREATED)
async def create_user(
    payload: UserCreate,
    service: RegisterUser = Depends(),
    _current: User = Depends(get_current_user),
):
    try:
        return await service.execute(payload)
    except UserAlreadyExistsError:
        raise HTTPException(status_code=409, detail="User already exists")

Read the full file on GitHub · 344 lines

Changes

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.

  1. yesterday First seen · 344 lines · 71 tokens per session scan A e7ee37f35f28

Subscribe to this mod's changes

skill-fastapi-api is a skill published in the GitHub repository dewtech-technologies/dare-method (5 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 2,561 once invoked, about $0.0004 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.