fastapi-reviewer

Automate code review of FastAPI route handlers for response models, dependencies, and pydantic models.

Updated Mar 7, 2016
One-click install
npx skills add https://github.com/BarrettLowe/dotfiles --skill fastapi-reviewer-barrettlowe
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi-reviewer
Source: https://github.com/BarrettLowe/dotfiles/tree/main/claude/skills/fastapi-reviewer
Command: npx skills add https://github.com/BarrettLowe/dotfiles --skill fastapi-reviewer-barrettlowe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires fastapi, pydantic, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that FastAPI route handlers are of high quality, reducing the risk of unclear contracts, missing validation, and inconsistent error handling.

Core Features & Use Cases

  • Code Review Automation: Identifies unclear contracts, missing validation, and inconsistent error handling in FastAPI route handlers.
  • Interface Quality Check: Evaluates response models, dependencies, and pydantic models.
  • Use Case: Before merging a new endpoint, use the fastapi-reviewer Skill to review the route handler, ensuring the quality of the HTTP interface.

Quick Start

Run the fastapi-reviewer Skill on your FastAPI application to automate the review process.

Frequently Asked Questions about fastapi-reviewer

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

FAQPage Schema
How do I automate FastAPI code reviews for route handlers?

FastAPI code reviews are automated by analyzing route handler definitions to identify unclear contracts, missing validation, and inconsistent error handling. This evaluation checks response models, dependencies, and pydantic models to ensure HTTP interface robustness before merging endpoints.

What does a FastAPI interface quality check evaluate?

A FastAPI interface quality check evaluates response models, dependencies, and pydantic models. It inspects contract clarity, field constraints, and error handling within route handlers to reduce the risk of API quality issues and improve endpoint robustness.

Do I need pydantic to review FastAPI dependencies and response models?

Yes, you need both FastAPI and pydantic. The review process requires these frameworks to accurately analyze route handler definitions, evaluate dependency injection, and inspect pydantic model field constraints to detect missing validation and inconsistent error handling.

When should I run an automated code review on my FastAPI application?

Run an automated code review on your FastAPI application before merging a new endpoint. This ensures route handler quality, validates pydantic models, and checks dependency injection to prevent unclear API contracts and inconsistent error handling from reaching production.

Best way to check pydantic field constraints and error handling in FastAPI?

The best way to check pydantic field constraints is to run an automated review that analyzes FastAPI route handlers. It directly inspects pydantic models for contract clarity and identifies missing validation or inconsistent error handling across your endpoints.