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fastapi-coderFastAPI coder 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

954

周安装

41

GitHub Stars

37

下载量

335
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fastapi-coder(FastAPI coder 测试)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/fastapi-coder
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill fastapi-coder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill fastapi-coder

简介

用于辅助 Python 项目开发、测试与依赖管理,聚焦 FastAPI 编码实践。

  • 采用异步优先、类型安全与依赖注入的核心原则。
  • 推荐模块化结构:路由、服务与仓储三层分离。
  • 使用时需确认虚拟环境与依赖版本,避免误改生产数据。
  • fastapi-coder 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

FastAPI Coder

Core Principles

PrincipleApplication
Async-FirstUse async/await everywhere, sync only when required
Type SafetyPydantic models for all request/response data
Dependency InjectionUse Depends() for shared logic, not global state
OpenAPI-DrivenSchema generates automatically; keep it clean
Separation of ConcernsRoutes → Services → Repositories

Project Structure

app/
├── main.py              # FastAPI app initialization
├── api/
│   ├── __init__.py
│   ├── deps.py          # Shared dependencies
│   └── routes/          # Route handlers by domain
│       ├── users.py
│       └── items.py
├── core/
│   ├── config.py        # Settings via pydantic-settings
│   ├── security.py      # Auth utilities
│   └── exceptions.py    # Custom exceptions
├── models/              # Pydantic schemas
│   ├── user.py
│   └── item.py
├── services/            # Business logic
│   └── user_service.py
├── repositories/        # Data access
│   └── user_repo.py
└── tests/
    ├── conftest.py      # Shared fixtures
    └── test_users.py

Essential Patterns

Route Handler

from fastapi import APIRouter, Depends, HTTPException, status
from app.models.user import UserCreate, UserResponse
from app.services.user_service import UserService
from app.api.deps import get_user_service

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

@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(
    user_in: UserCreate,
    service: UserService = Depends(get_user_service),
) -> UserResponse:
    """Create a new user."""
    return await service.create(user_in)

Pydantic Models

from pydantic import BaseModel, EmailStr, Field
from datetime import datetime

class UserBase(BaseModel):
    email: EmailStr
    name: str = Field(..., min_length=1, max_length=100)

class UserCreate(UserBase):
    password: str = Field(..., min_length=8)

class UserResponse(UserBase):
    id: int
    created_at: datetime

    model_config = {"from_attributes": True}

Dependencies

from typing import Annotated
from fastapi import Depends, Header, HTTPException
from app.core.security import verify_token

async def get_current_user(
    authorization: Annotated[str, Header()],
) -> User:
    token = authorization.removeprefix("Bearer ")
    user = await verify_token(token)
    if not user:
        raise HTTPException(status_code=401, detail="Invalid token")
    return user

CurrentUser = Annotated[User, Depends(get_current_user)]

Service Layer

from app.repositories.user_repo import UserRepository
from app.models.user import UserCreate, UserResponse

class UserService:
    def __init__(self, repo: UserRepository):
        self.repo = repo

    async def create(self, user_in: UserCreate) -> UserResponse:
        # Business logic here
        existing = await self.repo.get_by_email(user_in.email)
        if existing:
            raise ValueError("Email already registered")
        return await self.repo.create(user_in)

Exception Handling

from fastapi import FastAPI, Request
from fastapi.responses import JSONResponse

class AppException(Exception):
    def __init__(self, status_code: int, detail: str):
        self.status_code = status_code
        self.detail = detail

@app.exception_handler(AppException)
async def app_exception_handler(request: Request, exc: AppException):
    return JSONResponse(
        status_code=exc.status_code,
        content={"detail": exc.detail},
    )

Background Tasks

from fastapi import BackgroundTasks

async def send_welcome_email(email: str):
    # Async email sending
    ...

@router.post("/users/")
async def create_user(
    user_in: UserCreate,
    background_tasks: BackgroundTasks,
):
    user = await create_user_in_db(user_in)
    background_tasks.add_task(send_welcome_email, user.email)
    return user

Database Integration

SQLAlchemy 2.0 Async

from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker

engine = create_async_engine("postgresql+asyncpg://...", echo=True)
async_session = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)

async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        yield session

Repository Pattern

from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

class UserRepository:
    def __init__(self, db: AsyncSession):
        self.db = db

    async def get_by_id(self, user_id: int) -> User | None:
        result = await self.db.execute(select(User).where(User.id == user_id))
        return result.scalar_one_or_none()

Authentication Patterns

JWT Authentication

from datetime import datetime, timedelta
from jose import jwt, JWTError
from app.core.config import settings

def create_access_token(data: dict) -> str:
    expire = datetime.utcnow() + timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES)
    return jwt.encode({**data, "exp": expire}, settings.SECRET_KEY, algorithm="HS256")

async def verify_token(token: str) -> dict | None:
    try:
        return jwt.decode(token, settings.SECRET_KEY, algorithms=["HS256"])
    except JWTError:
        return None

Testing Patterns

import pytest
from httpx import AsyncClient, ASGITransport
from app.main import app

@pytest.fixture
async def client():
    async with AsyncClient(
        transport=ASGITransport(app=app),
        base_url="http://test",
    ) as ac:
        yield ac

@pytest.mark.asyncio
async def test_create_user(client: AsyncClient):
    response = await client.post("/users/", json={
        "email": "test@example.com",
        "name": "Test User",
        "password": "securepass123",
    })
    assert response.status_code == 201
    assert response.json()["email"] == "test@example.com"

Quality Checklist

  • All routes have response_model and status_code
  • Pydantic models for all request/response data
  • Dependencies for shared logic (auth, db, services)
  • Service layer separates business logic from routes
  • Repository pattern for data access
  • Custom exceptions with proper handlers
  • Async database operations
  • Background tasks for non-blocking operations
  • Comprehensive tests with httpx AsyncClient
  • Type hints throughout

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

31.76%
按下载量换算106

Claude

28.9%
按下载量换算97

Cursor

19.71%
按下载量换算66

Gemini CLI

9.83%
按下载量换算33

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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