standards-python

A set of Python coding rules for writing simple, readable, maintainable programs. Python is a general-purpose programming language used for web services, automation, data work, and many other tasks.

In plain words
What is it for?
Use it when creating or reviewing Python files, modules, classes, functions, and project layouts. It also guides testing, configuration, and naming conventions.
Why use it?
It gives the coding agent consistent rules for names, project structure, comments, and control flow. This helps avoid unnecessary complexity and limits changes to what the task requires.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/b33eep/claude-code-setup/standards-python
Any agent
npx skills add b33eep/claude-code-setup --skill standards-python
Clone the repo
git clone --depth 1 https://github.com/b33eep/claude-code-setup

Made for: Claude Code, Codex.

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,511 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00030 $0.01511
Opus 5 $0.00015 $0.00756
Sonnet 5 $0.00006 $0.00302
Haiku 4.5 $0.00003 $0.00151

Measured 2d ago against content hash f0daa540aa13, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

standards-python scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/standards-python/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Coding Standards

Core Principles

  1. Simplicity: Simple, understandable code
  2. Readability: Readability over cleverness
  3. Maintainability: Code that's easy to maintain
  4. Testability: Code that's easy to test
  5. DRY: Don't Repeat Yourself - but don't overdo it

General Rules

  • Early Returns: Use early returns to avoid nesting
  • Descriptive Names: Meaningful names for variables and functions
  • Minimal Changes: Only change relevant code parts
  • No Over-Engineering: No unnecessary complexity
  • Minimal Comments: Code should be self-explanatory. No redundant comments!

Naming Conventions

Element Convention Example
Variables/Functions snake_case get_user_by_id, is_active
Classes PascalCase UserService, ApiClient
Constants UPPER_SNAKE_CASE MAX_RETRY_COUNT
Private Prefix with _ _internal_method
Files/Modules snake_case user_service.py

Project Structure

myproject/
├── src/
│   ├── __init__.py
│   ├── main.py              # Entry point
│   ├── config.py            # Settings, env vars
│   ├── models.py            # Domain models (dataclasses/Pydantic)
│   ├── schemas.py           # Request/response DTOs
│   ├── services/
│   │   ├── __init__.py
│   │   └── user_service.py  # Business logic
│   └── repositories/
│       ├── __init__.py
│       └── user_repo.py     # Data access
├── tests/
│   ├── __init__.py
│   ├── test_services.py
│   └── test_repositories.py
├── pyproject.toml
└── README.md

Code Style (PEP 8 + PEP 484)

from dataclasses import dataclass

@dataclass
class User:
    id: str
    name: str
    email: str
    age: int | None = None  # Python 3.10+ union syntax

def get_user_by_id(user_id: str) -> User | None:
    if not user_id:
        raise ValueError("user_id cannot be empty")
    # implementation...

Best Practices

# Type hints everywhere
def process_items(items: list[str]) -> dict[str, int]:
    return {item: len(item) for item in items}

# Pydantic v2 for validation
from pydantic import BaseModel, Field, field_validator, EmailStr

class UserCreate(BaseModel):
    name: str = Field(..., min_length=2, max_length=50)
    email: EmailStr
    age: int | None = Field(None, ge=0, le=150)

    @field_validator('name')
    @classmethod
    def name_must_be_alphanumeric(cls, v: str) -> str:
        if not v.replace(' ', '').isalnum():
            raise ValueError('Name must be alphanumeric')
        return v.strip()

# Context managers
with open('file.txt', 'r') as f:
    content = f.read()

# Prefer pathlib over os.path
from pathlib import Path
config_path = Path(__file__).parent / 'config.yaml'

Read the full file on GitHub · 191 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 191 lines · 30 tokens per session scan A f0daa540aa13

Subscribe to this mod's changes

standards-python is a skill published in the GitHub repository b33eep/claude-code-setup (56 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 1,511 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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