existential-birds

python-code-review

15
2
# Install this skill:
npx skills add existential-birds/beagle --skill "python-code-review"

Install specific skill from multi-skill repository

# Description

Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.

# SKILL.md


name: python-code-review
description: Reviews Python code for type safety, async patterns, error handling, and common mistakes. Use when reviewing .py files, checking type hints, async/await usage, or exception handling.


Python Code Review

Quick Reference

Issue Type Reference
Indentation, line length, whitespace, naming references/pep8-style.md
Missing/wrong type hints, Any usage references/type-safety.md
Blocking calls in async, missing await references/async-patterns.md
Bare except, missing context, logging references/error-handling.md
Mutable defaults, print statements references/common-mistakes.md

Review Checklist

PEP8 Style

  • [ ] 4-space indentation (no tabs)
  • [ ] Line length ≤79 characters (≤72 for docstrings/comments)
  • [ ] Two blank lines around top-level definitions, one within classes
  • [ ] Imports grouped: stdlib → third-party → local (blank line between groups)
  • [ ] No whitespace inside brackets or before colons/commas
  • [ ] Naming: snake_case for functions/variables, CamelCase for classes, UPPER_CASE for constants
  • [ ] Inline comments separated by at least two spaces

Type Safety

  • [ ] Type hints on all function parameters and return types
  • [ ] No Any unless necessary (with comment explaining why)
  • [ ] Proper T | None syntax (Python 3.10+)

Async Patterns

  • [ ] No blocking calls (time.sleep, requests) in async functions
  • [ ] Proper await on all coroutines

Error Handling

  • [ ] No bare except: clauses
  • [ ] Specific exception types with context
  • [ ] raise ... from to preserve stack traces

Common Mistakes

  • [ ] No mutable default arguments
  • [ ] Using logger not print() for output
  • [ ] f-strings preferred over .format() or %

Valid Patterns (Do NOT Flag)

These patterns are intentional and correct - do not report as issues:

  • Type annotation vs type assertion - Annotations declare types but are not runtime assertions; don't confuse with missing validation
  • Using Any when interacting with untyped libraries - Required when external libraries lack type stubs
  • Empty __init__.py files - Valid for package structure, no code required
  • noqa comments - Valid when linter rule doesn't apply to specific case
  • Using cast() after runtime type check - Correct pattern to inform type checker of narrowed type

Context-Sensitive Rules

Only flag these issues when the specific conditions apply:

Issue Flag ONLY IF
Generic exception handling Specific exception types are available and meaningful
Unused variables Variable lacks _ prefix AND isn't used in f-strings, logging, or debugging

When to Load References

  • Reviewing code formatting/style → pep8-style.md
  • Reviewing function signatures → type-safety.md
  • Reviewing async def functions → async-patterns.md
  • Reviewing try/except blocks → error-handling.md
  • General Python review → common-mistakes.md

Review Questions

  1. Does the code follow PEP8 formatting (indentation, line length, whitespace)?
  2. Are imports properly grouped (stdlib → third-party → local)?
  3. Do names follow conventions (snake_case, CamelCase, UPPER_CASE)?
  4. Are all function signatures fully typed?
  5. Are async functions truly non-blocking?
  6. Do exceptions include meaningful context?
  7. Are there any mutable default arguments?

Before Submitting Findings

Load and follow review-verification-protocol before reporting any issue.

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.