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/modelengine-group/datamate/fastapi-templatesnpx skills add ModelEngine-Group/DataMate --skill fastapi-templatesgit clone --depth 1 https://github.com/ModelEngine-Group/DataMateWhat 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 | $0.00037 | $0.03635 |
| Opus 5 | $0.00018 | $0.01818 |
| Sonnet 5 | $0.00007 | $0.00727 |
| Haiku 4.5 | $0.00004 | $0.00364 |
Grade A, and why
fastapi-templates 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.
This is a copy
92% identical to fastapi-templates — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 569 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FastAPI Project Templates
Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs.
When to Use This Skill
- Starting new FastAPI projects from scratch
- Implementing async REST APIs with Python
- Building high-performance web services and microservices
- Creating async applications with PostgreSQL, MongoDB
- Setting up API projects with proper structure and testing
Core Concepts
1. Project Structure
Recommended Layout:
app/
├── api/ # API routes
│ ├── v1/
│ │ ├── endpoints/
│ │ │ ├── users.py
│ │ │ ├── auth.py
│ │ │ └── items.py
│ │ └── router.py
│ └── dependencies.py # Shared dependencies
├── core/ # Core configuration
│ ├── config.py
│ ├── security.py
│ └── database.py
├── models/ # Database models
│ ├── user.py
│ └── item.py
├── schemas/ # Pydantic schemas
│ ├── user.py
│ └── item.py
├── services/ # Business logic
│ ├── user_service.py
│ └── auth_service.py
├── repositories/ # Data access
│ ├── user_repository.py
│ └── item_repository.py
└── main.py # Application entry
2. Dependency Injection
FastAPI's built-in DI system using Depends:
- Database session management
- Authentication/authorization
- Shared business logic
- Configuration injection
3. Async Patterns
Proper async/await usage:
- Async route handlers
- Async database operations
- Async background tasks
- Async middleware
Implementation Patterns
Pattern 1: Complete FastAPI Application
# main.py
from fastapi import FastAPI, Depends
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Application lifespan events."""
# Startup
await database.connect()
yield
# Shutdown
await database.disconnect()
app = FastAPI(
title="API Template",
version="1.0.0",
lifespan=lifespan
)
# CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
from app.api.v1.router import api_router
app.include_router(api_router, prefix="/api/v1")
# core/config.py
from pydantic_settings import BaseSettings
from functools import lru_cache
class Settings(BaseSettings):
"""Application settings."""
DATABASE_URL: str
SECRET_KEY: str
ACCESS_TOKEN_EXPIRE_MINUTES: int = 30
API_V1_STR: str = "/api/v1"
class Config:
env_file = ".env"
@lru_cache()
def get_settings() -> Settings:
return Settings()
# core/database.py
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from app.core.config import get_settings
settings = get_settings()
engine = create_async_engine(
settings.DATABASE_URL,
echo=True,
future=True
)
AsyncSessionLocal = sessionmaker(
engine,
class_=AsyncSession,
expire_on_commit=False
)
Base = declarative_base()
async def get_db() -> AsyncGenerator[Any, Any]:
"""Dependency for database session."""
async with AsyncSessionLocal() as session:
try:
yield session
await session.commit()
except Exception:
await session.rollback()
raise
finally:
await session.close()
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 · 569 lines · 37 tokens per session scan A 5bd3cda8fcdb
fastapi-templates is a skill published in the GitHub repository ModelEngine-Group/DataMate (368 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 3,635 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to fastapi-templates, differing in 3 lines, and is treated as a copy.
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