Copilot-Skills fastapi.instructions.md

A set of coding instructions for FastAPI, a Python framework for building web APIs. It covers typed request and response data, validation, errors, asynchronous operations, documentation, and database connections using Prisma or SQLAlchemy.

In plain words
What is it for?
Use it when creating or reviewing Python files for FastAPI applications, including API routes, Pydantic data models, exception handlers, asynchronous database work, and route documentation.
Why use it?
It gives the coding agent consistent patterns for building API endpoints and handling common server concerns. This reduces guesswork around input checking, error responses, status codes, and database startup and shutdown.

Instructions file for GitHub Copilot

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 instructions/thesethrose/copilot-skills/fastapi
Clone the repo
git clone --depth 1 https://github.com/TheSethRose/Copilot-Skills

Made for: GitHub Copilot.

Per session 1,116 This file is loaded in full into every session.
When invoked 1,116 The same file — it is already loaded in full.
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 $0.01116 $0.01116
Opus 5 $0.00558 $0.00558
Sonnet 5 $0.00223 $0.00223
Haiku 4.5 $0.00112 $0.00112

Measured 2d ago against content hash 53971a901f90, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Copilot-Skills fastapi.instructions.md 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.

.github/instructions/fastapi.instructions.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Instructions

Auto-loaded when: Working with files matching: **/*.py, **/main.py, **/fastapi*

Default Behaviors

When working with FastAPI:

  1. Follow Official Patterns: Use patterns from official FastAPI documentation
  2. Type Hints: Always use Pydantic models for request/response bodies
  3. Error Handling: Implement proper exception handlers with HTTPException
  4. Async/Await: Use async routes for I/O operations
  5. Validation: Leverage Pydantic for automatic validation
  6. Documentation: Use docstrings for all route functions
  7. Status Codes: Return appropriate HTTP status codes

Common Workflows

Basic API Endpoint

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

@app.get("/items/{item_id}")
async def get_item(item_id: int):
    return {"item_id": item_id}

@app.post("/items/", status_code=201)
async def create_item(item: Item):
    return item

With Database (Prisma/SQLAlchemy)

from prisma import Prisma
from contextlib import asynccontextmanager

db = Prisma()

@asynccontextmanager
async def lifespan(app: FastAPI):
    await db.connect()
    yield
    await db.disconnect()

app = FastAPI(lifespan=lifespan)

@app.get("/users/{user_id}")
async def get_user(user_id: int):
    return await db.user.find_unique(where={"id": user_id})

With Claude/OpenAI Integration

import anthropic
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()
client = anthropic.Anthropic()

class Message(BaseModel):
    content: str

@app.post("/analyze")
async def analyze(msg: Message):
    response = client.messages.create(
        model="claude-3-sonnet-20250219",
        max_tokens=1024,
        messages=[{"role": "user", "content": msg.content}]
    )
    return {"analysis": response.content[0].text}

Dependency Injection

from fastapi import Depends, FastAPI

async def get_query(q: str | None = None):
    return q

@app.get("/search")
async def search(q: str = Depends(get_query)):
    return {"q": q}

Read the full file on GitHub · 195 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. 2d ago First seen · 195 lines · 1,116 tokens per session scan A 53971a901f90

Subscribe to this mod's changes

Copilot-Skills fastapi.instructions.md is an instructions file published in the GitHub repository TheSethRose/Copilot-Skills (3 stars, last pushed 8mo ago), licensed MIT. It adds 1,116 tokens to every session, about $0.0056 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.