copilot-instructions coding-style-python.instructions.md

Python coding rules based on PEP 8, the commonly used Python style guide, plus type hints, Black formatting, and Ruff linting.

In plain words
What is it for?
Use it when writing or reviewing Python classes and functions, configuring formatting and linting, and requiring type hints on public code.
Why use it?
It gives a team consistent naming, formatting, typing, and quality checks across Python code.

Instructions file for GitHub Copilot

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 instructions/duthaho/copilot-instructions/coding-style-python
Clone the repo
git clone --depth 1 https://github.com/duthaho/copilot-instructions

Made for: GitHub Copilot.

Per session 2,099 This file is loaded in full into every session.
When invoked 2,099 The same file — it is already loaded in full.
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 $0.02099 $0.02099
Opus 5 $0.01050 $0.01050
Sonnet 5 $0.00420 $0.00420
Haiku 4.5 $0.00210 $0.00210

Measured 2d ago against content hash fde3525b4495, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

copilot-instructions coding-style-python.instructions.md 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.

.github/instructions/coding-style-python.instructions.md · 378 lines

How it starts

The opening of the file, as written. The whole thing — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Coding Style Instructions

Overview

This instruction file enforces Python coding standards based on PEP 8, type hints, and modern Python practices.

Code Formatting

Use Black for automatic formatting and Ruff for linting.

# pyproject.toml
[tool.black]
line-length = 100
target-version = ['py311']

[tool.ruff]
line-length = 100
target-version = "py311"
select = ["E", "F", "I", "N", "W", "UP"]

Type Hints

MANDATORY: All public functions, methods, and classes must have type hints.

Good:

from typing import Optional, List
from uuid import UUID

def get_customer_orders(customer_id: UUID, limit: int = 10) -> List[Order]:
    """Retrieve customer orders with type hints."""
    pass

class OrderService:
    def __init__(self, repository: OrderRepository) -> None:
        self._repository = repository

    def create_order(self, customer_id: UUID) -> Order:
        return Order(id=uuid4(), customer_id=customer_id)

Bad:

def get_customer_orders(customer_id, limit=10):  # No type hints
    pass

Naming Conventions

  • Classes: PascalCase (OrderService, CustomerRepository)
  • Functions/Methods: snake_case (calculate_total, get_by_id)
  • Constants: UPPER_SNAKE_CASE (MAX_RETRIES, DEFAULT_TIMEOUT)
  • Private attributes: Leading underscore (_internal_state)
  • Module names: snake_case (order_service.py)
# Good naming
class OrderProcessor:
    MAX_BATCH_SIZE = 100

    def __init__(self) -> None:
        self._cache: dict[str, Order] = {}

    def process_orders(self, orders: List[Order]) -> None:
        pass

Docstrings

Use Google-style docstrings for public APIs:

def calculate_discount(
    base_price: float,
    discount_percentage: float,
    customer_tier: str
) -> float:
    """Calculate discounted price based on customer tier.

    Args:
        base_price: The original price before discount
        discount_percentage: Discount percentage (0-100)
        customer_tier: Customer tier ("REGULAR", "PREMIUM", "VIP")

    Returns:
        The final price after applying discount

    Raises:
        ValueError: If discount_percentage is not between 0 and 100

    Example:
        >>> calculate_discount(100.0, 10.0, "PREMIUM")
        90.0
    """
    if not 0 <= discount_percentage <= 100:
        raise ValueError("Discount must be between 0 and 100")

    return base_price * (1 - discount_percentage / 100)

Read the full file on GitHub · 378 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. 2d ago First seen · 378 lines · 2,099 tokens per session scan A fde3525b4495

Subscribe to this mod's changes

copilot-instructions coding-style-python.instructions.md is an instructions file published in the GitHub repository duthaho/copilot-instructions (7 stars, last pushed 10mo ago), licensed MIT. It adds 2,099 tokens to every session, about $0.0105 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 2026-08-31.