fastapi-code-review

Name: fastapi-code-review
Availability: InStock
Author: javierhbr

Review FastAPI Python code for routing, dependency, validation, and async best practices.

Updated Feb 17, 2026

Search Tags:#code review #best practices #fastapi #python #api development #asyncio

Ready to run

npx skills add https://github.com/javierhbr/random-poc --skill fastapi-code-review-javierhbr

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fastapi-code-review
Source: https://github.com/javierhbr/random-poc/tree/main/custom-skills/beagle-main/plugins/beagle-python/skills/fastapi-code-review
Command: npx skills add https://github.com/javierhbr/random-poc --skill fastapi-code-review-javierhbr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses common pitfalls and anti-patterns in FastAPI application development, ensuring code is robust, maintainable, and follows best practices.

Core Features & Use Cases

Routing & Response Validation: Checks for proper APIRouter usage, response_model, and status codes.
Dependency Management: Verifies correct use of Depends(), cleanup, and avoids manual calls.
Async Operations: Identifies blocking I/O, incorrect sleep usage, and non-async handlers.
Use Case: Before merging a new set of API endpoints, use this Skill to automatically scan the code for common FastAPI mistakes, ensuring consistency and preventing runtime errors.

Quick Start

Use the fastapi-code-review skill to analyze the provided Python code for FastAPI best practice violations.

Frequently Asked Questions about fastapi-code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check my FastAPI code for best practices before merging?▼

To check FastAPI code for best practices before merging, scan your Python scripts to verify proper APIRouter usage, correct response_model configuration, and appropriate status codes. This process ensures endpoint consistency and prevents runtime errors.

What are common FastAPI anti-patterns when using dependency injection?▼

Common FastAPI dependency injection anti-patterns include manually calling dependencies instead of using Depends(), and neglecting proper resource cleanup. Reviewing code for these issues ensures robust and maintainable API endpoints.

Why does my FastAPI async handler block the event loop?▼

Your FastAPI async handler likely blocks the event loop due to blocking I/O operations or incorrect sleep usage. Code review identifies these non-async operations to ensure correct asynchronous programming and performance optimization.

How do I validate Pydantic model usage in my FastAPI application?▼

Validate Pydantic model usage in a FastAPI application by auditing request validation and response_model configurations. This review confirms that API endpoints correctly serialize and validate data for maintainability.

Can I use this to audit APIRouter configurations in Python?▼

Yes, you can audit APIRouter configurations in Python to verify proper routing setup and response validation. This checks for correct status codes and response_model usage to maintain code quality.