Does it support Pydantic v2 features?

Absolutely. The reviewer is optimized for Pydantic v2, checking for proper model_config usage, Field constraints, and modern validation patterns.

Can it suggest improvements for auto-generated documentation?

Yes, it reviews endpoints for response_model usage, tags, and status codes to ensure your auto-generated OpenAPI (Swagger) documentation is complete and professional.

Can this skill identify blocking code in async functions?

Yes, it specifically scans for blocking I/O calls like 'requests' inside 'async def' and recommends non-blocking alternatives like 'httpx' to prevent event loop starvation.

How does it help with API security?

It audits your codebase for missing CORS configurations, hardcoded secrets, and ensures that sensitive endpoints are protected by proper authentication dependencies.

FastAPI Reviewer

Name: FastAPI Reviewer
Author: physics91

byphysics91

API 开发

Reviews FastAPI applications for Pydantic validation, asynchronous performance, dependency injection, and security vulnerabilities.

关于

The FastAPI Reviewer skill empowers developers to build production-ready APIs by providing deep architectural analysis of Python web services. It automatically detects FastAPI projects and evaluates codebases against industry best practices, focusing on Pydantic v2 model configuration, efficient async/await patterns to prevent event loop blocking, robust dependency injection for testability, and essential security headers like CORS and OAuth2.

主要功能

Deep analysis of Pydantic models and field validation constraints.
0 GitHub stars
Evaluation of dependency injection patterns for improved modularity.
Detection of blocking synchronous calls within asynchronous endpoints.
Security auditing for CORS, OAuth2, and environment variable usage.
Automated OpenAPI documentation and RESTful convention checks.

使用场景

Refactoring legacy synchronous Python code into high-performance FastAPI endpoints.
Performing a comprehensive code audit before merging pull requests.
Ensuring Pydantic schemas are correctly configured for data validation and serialization.

关于

主要功能

Deep analysis of Pydantic models and field validation constraints.
0 GitHub stars
Evaluation of dependency injection patterns for improved modularity.
Detection of blocking synchronous calls within asynchronous endpoints.
Security auditing for CORS, OAuth2, and environment variable usage.
Automated OpenAPI documentation and RESTful convention checks.

使用场景

Refactoring legacy synchronous Python code into high-performance FastAPI endpoints.
Performing a comprehensive code audit before merging pull requests.
Ensuring Pydantic schemas are correctly configured for data validation and serialization.