Can it help with Flask security?

Absolutely. It flags critical security issues such as hardcoded secret keys, insecure request handling, and missing validation for JSON payloads.

Does it support Flask extensions like SQLAlchemy?

Yes, it specifically reviews the initialization and usage patterns for popular extensions like Flask-SQLAlchemy, Flask-Login, and Flask-WTF.

How does this skill detect a Flask project?

It automatically identifies Flask projects by scanning for 'flask' in dependency files like requirements.txt or pyproject.toml, and by detecting Flask-specific imports and directory structures.

Does it recommend specific project structures?

Yes, it advocates for the Application Factory pattern and the use of Blueprints to avoid circular imports and maintain a clean separation of concerns.

Flask Architecture Reviewer

Name: Flask Architecture Reviewer
Author: physics91

byphysics91

API Development

Audits Flask applications for architectural integrity, blueprint organization, and production-grade security patterns.

About

The Flask Architecture Reviewer is a specialized Claude Code skill designed to optimize Python web applications built with the Flask framework. It automatically detects Flask environments and performs deep code audits to ensure adherence to professional standards, such as the Application Factory pattern, secure configuration management, and modular blueprint structures. By identifying circular imports, missing input validations, and hardcoded secrets, it helps developers transition from simple scripts to production-ready, scalable web services with consistent error handling and extension patterns.

Key Features

Audits Blueprint organization to ensure modular and maintainable routing
Enforces Application Factory and init_app patterns for scalable initialization
0 GitHub stars
Provides structured error handling and environment-based configuration recommendations
Identifies missing request validation using Marshmallow or Pydantic schemas
Detects security risks like hardcoded secrets and active debug modes in production

Use Cases

Standardizing extension usage and configuration across a professional Flask API
Refactoring a monolithic app.py into a modular Blueprint-based structure
Performing a security and best-practices audit before production deployment

About

Key Features

Audits Blueprint organization to ensure modular and maintainable routing
Enforces Application Factory and init_app patterns for scalable initialization
0 GitHub stars
Provides structured error handling and environment-based configuration recommendations
Identifies missing request validation using Marshmallow or Pydantic schemas
Detects security risks like hardcoded secrets and active debug modes in production

Use Cases

Standardizing extension usage and configuration across a professional Flask API
Refactoring a monolithic app.py into a modular Blueprint-based structure
Performing a security and best-practices audit before production deployment