python-patterns

python-patterns is a skill for Claude Code, Codex from Luohaothu/everything-codex. It costs 39 tokens per session (4,346 once invoked), scanned A, original, MIT.

A guide to common Python coding practices, including readable formatting, type hints, error handling, and maintainable design.

In plain words
What is it for?
Use it when creating, reviewing, refactoring, or structuring Python modules and packages.
Why use it?
It helps you write and review Python code consistently without relying on personal style guesses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when creating, reviewing, refactoring, or structuring Python modules and packages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/luohaothu/everything-codex/python-patterns
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.

Any agent
npx skills add Luohaothu/everything-codex --skill python-patterns
Clone the repo
git clone --depth 1 https://github.com/Luohaothu/everything-codex

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for python-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/luohaothu/everything-codex/python-patterns/github.svg)](https://agentmods.dev/skills/luohaothu/everything-codex/python-patterns)
Your own site
<a href="https://agentmods.dev/skills/luohaothu/everything-codex/python-patterns"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/python-patterns/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for python-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/luohaothu/everything-codex/python-patterns"><img src="https://agentmods.dev/badge/skills/luohaothu/everything-codex/python-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,346 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00039 $0.04346
Opus 5.5 $0.00016 $0.01738
Sonnet 5.5 $0.00008 $0.00869
Haiku 4.5 $0.00004 $0.00435

Measured 1mo ago against content hash 912bbaf70e8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

python-patterns scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

import urllib.request
docs/zh-CN/skills/python-patterns/SKILL.md · 750 lines

How it starts

The opening of the file, as written. The whole thing — 750 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python 开发模式

用于构建健壮、高效和可维护应用程序的惯用 Python 模式与最佳实践。

何时激活

  • 编写新的 Python 代码
  • 审查 Python 代码
  • 重构现有的 Python 代码
  • 设计 Python 包/模块

核心原则

1. 可读性很重要

Python 优先考虑可读性。代码应该清晰且易于理解。

# Good: Clear and readable
def get_active_users(users: list[User]) -> list[User]:
    """Return only active users from the provided list."""
    return [user for user in users if user.is_active]


# Bad: Clever but confusing
def get_active_users(u):
    return [x for x in u if x.a]

2. 显式优于隐式

避免魔法;清晰说明你的代码在做什么。

# Good: Explicit configuration
import logging

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)

# Bad: Hidden side effects
import some_module
some_module.setup()  # What does this do?

3. EAFP - 请求宽恕比请求许可更容易

Python 倾向于使用异常处理而非检查条件。

# Good: EAFP style
def get_value(dictionary: dict, key: str) -> Any:
    try:
        return dictionary[key]
    except KeyError:
        return default_value

# Bad: LBYL (Look Before You Leap) style
def get_value(dictionary: dict, key: str) -> Any:
    if key in dictionary:
        return dictionary[key]
    else:
        return default_value

类型提示

基本类型注解

from typing import Optional, List, Dict, Any

def process_user(
    user_id: str,
    data: Dict[str, Any],
    active: bool = True
) -> Optional[User]:
    """Process a user and return the updated User or None."""
    if not active:
        return None
    return User(user_id, data)

现代类型提示(Python 3.9+)

# Python 3.9+ - Use built-in types
def process_items(items: list[str]) -> dict[str, int]:
    return {item: len(item) for item in items}

# Python 3.8 and earlier - Use typing module
from typing import List, Dict

def process_items(items: List[str]) -> Dict[str, int]:
    return {item: len(item) for item in items}

类型别名和 TypeVar

from typing import TypeVar, Union

# Type alias for complex types
JSON = Union[dict[str, Any], list[Any], str, int, float, bool, None]

def parse_json(data: str) -> JSON:
    return json.loads(data)

# Generic types
T = TypeVar('T')

def first(items: list[T]) -> T | None:
    """Return the first item or None if list is empty."""
    return items[0] if items else None

Read the full file on GitHub · 750 lines

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. 1mo ago First seen · 750 lines · 39 tokens per session scan A 912bbaf70e8a

Subscribe to this mod's changes

python-patterns is a skill published in the GitHub repository Luohaothu/everything-codex (25 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 4,346 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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