fastapi-patterns

fastapi-patterns is a skill for Claude Code, Codex from ronmkr/PromptBook. It costs 35 tokens per session (2,024 once invoked), scanned A, a copy of fastapi-patterns, Apache-2.0.

A guide to building FastAPI services in Python, including asynchronous web endpoints, input validation, dependency injection, authentication, automatic API documentation, tests, and deployment settings.

In plain words
What is it for?
Use it when creating or reviewing FastAPI applications, organizing routers and schemas, adding authentication, connecting databases, documenting APIs, or writing tests.
Why use it?
It helps keep HTTP request handling separate from business and database code, reducing tangled services and unsafe data exposure. It also encourages explicit input and output models.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when creating or reviewing FastAPI applications, organizing routers and schemas, adding authentication, connecting databases, documenting APIs, or writing tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ronmkr/promptbook/fastapi-patterns
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.

Any agent
npx skills add ronmkr/PromptBook --skill fastapi-patterns
Clone the repo
git clone --depth 1 https://github.com/ronmkr/PromptBook

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fastapi-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/ronmkr/promptbook/fastapi-patterns/github.svg)](https://agentmods.dev/skills/ronmkr/promptbook/fastapi-patterns)
Your own site
<a href="https://agentmods.dev/skills/ronmkr/promptbook/fastapi-patterns"><img src="https://agentmods.dev/badge/skills/ronmkr/promptbook/fastapi-patterns/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fastapi-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/ronmkr/promptbook/fastapi-patterns"><img src="https://agentmods.dev/badge/skills/ronmkr/promptbook/fastapi-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,024 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00035 $0.02024
Opus 5.5 $0.00014 $0.00810
Sonnet 5.5 $0.00007 $0.00405
Haiku 4.5 $0.00003 $0.00202

Measured 1mo ago against content hash 6e809a690fbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fastapi-patterns 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 1mo 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.

Origin

This is a copy

100% identical to fastapi-patterns — 0 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.

skills/patterns/fastapi-patterns/SKILL.md · 328 lines

How it starts

The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FastAPI Patterns

Production-oriented patterns for FastAPI services.

When to Use

  • Building or reviewing a FastAPI app.
  • Splitting routers, schemas, dependencies, and database access.
  • Writing async endpoints that call a database or external service.
  • Adding authentication, authorization, OpenAPI docs, tests, or deployment settings.
  • Checking a FastAPI PR for copy-pasteable examples and production risks.

How It Works

Treat the FastAPI app as a thin HTTP layer over explicit dependencies and service code:

  • main.py owns app construction, middleware, exception handlers, and router registration.
  • schemas/ owns Pydantic request and response models.
  • dependencies.py owns database, auth, pagination, and request-scoped dependencies.
  • services/ or crud/ owns business and persistence operations.
  • tests/ overrides dependencies instead of opening production resources.

Prefer small routers and explicit response_model declarations. Keep raw ORM objects, secrets, and framework globals out of response schemas.

Project Layout

app/
|-- main.py
|-- config.py
|-- dependencies.py
|-- exceptions.py
|-- api/
|   `-- routes/
|       |-- users.py
|       `-- health.py
|-- core/
|   |-- security.py
|   `-- middleware.py
|-- db/
|   |-- session.py
|   `-- crud.py
|-- models/
|-- schemas/
`-- tests/

Application Factory

Use a factory so tests and workers can build the app with controlled settings.

from contextlib import asynccontextmanager

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware

from app.api.routes import health, users
from app.config import settings
from app.db.session import close_db, init_db
from app.exceptions import register_exception_handlers


@asynccontextmanager
async def lifespan(app: FastAPI):
    await init_db()
    yield
    await close_db()


def create_app() -> FastAPI:
    app = FastAPI(
        title=settings.api_title,
        version=settings.api_version,
        lifespan=lifespan,
    )

    app.add_middleware(
        CORSMiddleware,
        allow_origins=settings.cors_origins,
        allow_credentials=bool(settings.cors_origins),
        allow_methods=["GET", "POST", "PUT", "PATCH", "DELETE"],
        allow_headers=["Authorization", "Content-Type"],
    )

    register_exception_handlers(app)
    app.include_router(health.router, prefix="/health", tags=["health"])
    app.include_router(users.router, prefix="/api/v1/users", tags=["users"])
    return app


app = create_app()

Read the full file on GitHub · 328 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. 1mo ago First seen · 328 lines · 35 tokens per session scan A 6e809a690fbe

Subscribe to this mod's changes

fastapi-patterns is a skill published in the GitHub repository ronmkr/PromptBook (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,024 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to fastapi-patterns, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

groq-inference

Ultra-fast LLM inference on custom LPU hardware. OpenAI-compatible API at api.groq.com. Lowest latency in the industry (500-1000+ tok/s). Supports chat completions, vision, audio (Whisper STT + TTS), tool calling, JSON mode, and streaming. Free tier available. Inference only — no training.

synthetic-sciences/openscience · 77 tokens

opensrc

Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for"…

vercel-labs/opensrc · 103 tokens

bun-file-io

Use this when you are working on file operations like reading, writing, scanning, or deleting files. It summarizes the preferred file APIs and patterns used in this repo. It also notes when to use filesystem helpers for directories.

synthetic-sciences/openscience · 49 tokens

protocolsio-integration

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io…

synthetic-sciences/openscience · 85 tokens

arkcli-infer-endpoint

A manager for inference endpoints, the online addresses used to send requests to deployed AI models. It can work with endpoints created by the current SSO sub-user, which is a separately identified account user.

volcengine/ark-cli · 258 tokens

knowledge-shared-api-and-runtime-schemas

Shared request and response definitions for the server and web app, with runtime checks for incoming data and cleaned JSON schemas for tools. TypeBox is the library used to describe these data shapes.

echoVic/blade-code · 149 tokens