MCPInstall

python-code-review

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.

Installs
920
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/existential-birds/beagle --skill python-code-review
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads python-code-review automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Python Code Review

Quick Reference

Issue TypeReference
Indentation, line length, whitespace, namingreferences/pep8-style.md
Missing/wrong type hints, Any usagereferences/type-safety.md
Blocking calls in async, missing awaitreferences/async-patterns.md
Bare except, missing context, loggingreferences/error-handling.md
Mutable defaults, print statementsreferences/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:

IssueFlag ONLY IF
Generic exception handlingSpecific exception types are available and meaningful
Unused variablesVariable lacks _ prefix AND isn't used in f-strings, logging, or debugging

Gates (reporting workflow)

Complete in order. Do not advance until each pass condition is met.

  1. Scope — Pass: You list every .py path (or explicit glob) you inspected this run.
  2. False-positive screen — Pass: For each issue you plan to report, you checked Valid Patterns and Context-Sensitive Rules above; you drop or narrow the finding if those sections say not to flag it.
  3. Evidence — Pass: Each remaining finding includes [FILE:LINE] (or a bounded line range). Symbols or short verbatim snippets may supplement the location anchor but do not replace it.
  4. Verification protocol — Pass: You load review-verification-protocol and complete its mandatory steps for each reported issue before the user-facing write-up.
  5. Ship — Pass: The user-visible output matches whatever structure that protocol requires (no issues-only dump that skips its checks).

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 reporting: complete Gates (reporting workflow) above (especially gate 4).

FAQ

What does the python-code-review skill do?

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.

How do I install python-code-review?

Run npx skills add https://github.com/existential-birds/beagle --skill python-code-review in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/python-code-review/ (personal) or .claude/skills/python-code-review/ (project).

Which AI agents can use python-code-review?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is python-code-review safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains python-code-review?

It is published by existential-birds in existential-birds/beagle. It has 920 recorded installs.

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