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reviewing-python

Review Python code for design flaws and standards adherence.

1|Updated Jan 6, 2026
Search Tags:#testing#quality assurance#code review#security#python#standards
One-click install
npx skills add https://github.com/outcomeengineering/spx-claude --skill reviewing-python-outcomeengineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reviewing-python
Source: https://github.com/outcomeengineering/spx-claude/tree/main/plugins/python/skills/reviewing-python
Command: npx skills add https://github.com/outcomeengineering/spx-claude --skill reviewing-python-outcomeengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes rules (resource) and templates (resource) components.

What problem does it solve?

This Skill provides a rigorous, adversarial code review process for Python projects, ensuring code quality, adherence to standards, and the absence of critical flaws that automated tools might miss.

Core Features & Use Cases

  • Deep Code Comprehension: Goes beyond syntax checks to understand design flaws and potential issues.
  • Strict Adherence to Standards: Enforces project-specific configurations, ADRs/PDRs, and testing methodologies.
  • Rejection of Mocking: Strictly prohibits the use of mocking, enforcing dependency injection.
  • Use Case: Before merging a critical new feature, use this Skill to perform a thorough review that guarantees the code is robust, maintainable, and free from subtle bugs or design anti-patterns.

Quick Start

Review the Python code in the current directory using the reviewing-python skill.

Frequently Asked Questions about reviewing-python

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

FAQPage Schema
How do I perform an adversarial Python code review?▼

Adversarial Python code review requires executing automated test suites and evaluating per-function design flaws while strictly rejecting mocking in favor of dependency injection to ensure robust comprehension.

What is the best way to enforce strict testing protocols in Python projects?▼

Strict testing protocols in Python are enforced by validating against ADR and PDR constraints, requiring automated test gates with coverage, and prohibiting mocking to guarantee standards adherence.

Does this Python code review process reject mocking in favor of dependency injection?▼

Yes, this Python code review process strictly prohibits mocking and enforces dependency injection to evaluate design flaws and ensure code quality without relying on artificial test doubles.

How do I validate Python code against ADR and PDR constraints?▼

Validating Python code against ADR and PDR constraints involves performing deep per-file analysis and executing automated gates to ensure the implementation adheres to architectural standards.

What are the limitations of automated tools for Python code review?▼

Automated tools often miss subtle design anti-patterns and critical flaws; an adversarial review provides deep code comprehension to identify issues that standard automated syntax checks cannot detect.

Can I use this review process for critical feature merges in Python?▼

Yes, executing a rigorous adversarial review before merging critical Python features guarantees the code is robust, maintainable, and free from subtle bugs or design anti-patterns.

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