python-clean-code
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.
How do I install this agent skill?
npx skills add https://github.com/ertugrul-dmr/clean-code-skills --skill python-clean-codeIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill provides a comprehensive checklist and guidance for enforcing Robert Martin's Clean Code principles specifically adapted for Python development. No security vulnerabilities or malicious behaviors were found.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/1 file flagged
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Clean Python: Complete Reference
Enforces all Clean Code principles from Robert C. Martin's Chapter 17, adapted for Python.
Comments (C1-C5)
- C1: No metadata in comments (use Git)
- C2: Delete obsolete comments immediately
- C3: No redundant comments
- C4: Write comments well if you must
- C5: Never commit commented-out code
Environment (E1-E2)
- E1: One command to build (
pip install -e ".[dev]") - E2: One command to test (
pytest)
Functions (F1-F4)
- F1: Maximum 3 arguments (use dataclasses for more)
- F2: No output arguments (return values)
- F3: No flag arguments (split functions)
- F4: Delete dead functions
General (G1-G36)
- G1: One language per file
- G2: Implement expected behavior
- G3: Handle boundary conditions
- G4: Don't override safeties
- G5: DRY - no duplication
- G6: Consistent abstraction levels
- G7: Base classes don't know children
- G8: Minimize public interface
- G9: Delete dead code
- G10: Variables near usage
- G11: Be consistent
- G12: Remove clutter
- G13: No artificial coupling
- G14: No feature envy
- G15: No selector arguments
- G16: No obscured intent
- G17: Code where expected
- G18: Prefer instance methods
- G19: Use explanatory variables
- G20: Function names say what they do
- G21: Understand the algorithm
- G22: Make dependencies physical
- G23: Prefer polymorphism to if/else
- G24: Follow conventions (PEP 8)
- G25: Named constants, not magic numbers
- G26: Be precise
- G27: Structure over convention
- G28: Encapsulate conditionals
- G29: Avoid negative conditionals
- G30: Functions do one thing
- G31: Make temporal coupling explicit
- G32: Don't be arbitrary
- G33: Encapsulate boundary conditions
- G34: One abstraction level per function
- G35: Config at high levels
- G36: Law of Demeter (no train wrecks)
Python-Specific (P1-P3)
These adapt the Java-specific rules (J1-J3) to Python conventions:
- P1: No wildcard imports (
from x import *) — opposite of Java, per PEP 8 - P2: Use Enums, not magic constants — same principle as J3
- P3: Type hints on public interfaces — Python's equivalent of Java's static typing
Names (N1-N7)
- N1: Choose descriptive names
- N2: Right abstraction level
- N3: Use standard nomenclature
- N4: Unambiguous names
- N5: Name length matches scope
- N6: No encodings
- N7: Names describe side effects
Tests (T1-T9)
- T1: Test everything that could break
- T2: Use coverage tools
- T3: Don't skip trivial tests
- T4: Ignored test = ambiguity question
- T5: Test boundary conditions
- T6: Exhaustively test near bugs
- T7: Look for patterns in failures
- T8: Check coverage when debugging
- T9: Tests must be fast (< 100ms each)
Quick Reference Table
| Category | Rule | One-Liner |
|---|---|---|
| Comments | C1 | No metadata (use Git) |
| C3 | No redundant comments | |
| C5 | No commented-out code | |
| Functions | F1 | Max 3 arguments |
| F3 | No flag arguments | |
| F4 | Delete dead functions | |
| General | G5 | DRY—no duplication |
| G9 | Delete dead code | |
| G16 | No obscured intent | |
| G23 | Polymorphism over if/else | |
| G25 | Named constants, not magic numbers | |
| G30 | Functions do one thing | |
| G36 | Law of Demeter (one dot) | |
| Names | N1 | Descriptive names |
| N5 | Name length matches scope | |
| Tests | T5 | Test boundary conditions |
| T9 | Tests must be fast |
Anti-Patterns (Don't → Do)
| ❌ Don't | ✅ Do |
|---|---|
| Comment every line | Delete obvious comments |
| Helper for one-liner | Inline the code |
from x import * | Explicit imports |
Magic number 86400 | SECONDS_PER_DAY = 86400 |
process(data, True) | process_verbose(data) |
| Deep nesting | Guard clauses, early returns |
obj.a.b.c.value | obj.get_value() |
| 100+ line function | Split by responsibility |
AI Behavior
When reviewing code, identify violations by rule number (e.g., "G5 violation: duplicated logic").
When fixing or editing code, report what was fixed (e.g., "Fixed: extracted magic number to SECONDS_PER_DAY (G25)").
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/ertugrul-dmr/clean-code-skills/python-clean-code">View python-clean-code on skillZs</a>