How does this skill handle security vulnerabilities?

It provides specific implementation patterns to mitigate OWASP Top 10 risks and documented CVEs, including safe file handling, parameterized queries, and secure password hashing.

Which Python libraries are recommended by this skill?

It promotes the use of Pydantic for validation, SQLAlchemy and asyncpg for database access, Argon2 for cryptography, and Pytest for testing.

What is the primary focus of the Python Backend Engineering skill?

The skill focuses on creating secure, performant, and maintainable backend services using modern Python 3.11+ patterns, emphasizing security-first development.

Does it support asynchronous programming?

Absolutely. It includes advanced patterns for asyncio, concurrent I/O with gather, and database connection pooling to maximize performance.

Is this skill suitable for high-risk applications?

Yes, it is specifically designed for high-risk environments where backend services handle authentication, sensitive data, and external API communication.

Secure Python Backend Engineering

Name: Secure Python Backend Engineering
Author: martinholovsky

bymartinholovsky

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API 개발

Develops high-performance, secure Python backend services following industry-leading security practices and Test-Driven Development principles.

소개

This skill equips Claude with the deep technical expertise required to build production-grade Python backends. It emphasizes defense-in-depth security, incorporating mitigations for specific CVEs and OWASP risks while ensuring code maintainability through strict type hinting and asynchronous programming patterns. Whether you are building robust APIs with FastAPI, managing complex database layers via SQLAlchemy, or implementing high-concurrency workflows, this skill provides the validation gates and implementation patterns necessary for high-risk, high-performance environments.

주요 기능

Runtime type safety and data validation using Pydantic v2
Asynchronous I/O optimization and efficient data structure usage
Secure-by-default implementation patterns aligned with OWASP Top 10
6 GitHub stars
Strict Test-Driven Development (TDD) workflows with pytest
Safe handling of file operations, subprocesses, and database queries

사용 사례

Hardening existing Python services against injection and path traversal attacks
Designing type-safe database layers with SQLAlchemy and asyncpg
Building robust, production-ready REST APIs with FastAPI and Starlette

소개

주요 기능

Runtime type safety and data validation using Pydantic v2
Asynchronous I/O optimization and efficient data structure usage
Secure-by-default implementation patterns aligned with OWASP Top 10
6 GitHub stars
Strict Test-Driven Development (TDD) workflows with pytest
Safe handling of file operations, subprocesses, and database queries

사용 사례

Hardening existing Python services against injection and path traversal attacks
Designing type-safe database layers with SQLAlchemy and asyncpg
Building robust, production-ready REST APIs with FastAPI and Starlette