Azure-MCP-Server-Accelerator: Instructions file for GitHub Copilot

.github/instructions/python.instructions.md

Azure-MCP-Server-Accelerator python.instructions.md is an instructions file for GitHub Copilot from HaoZhang615/Azure-MCP-Server-Accelerator. It costs 428 tokens per session, scanned A, a copy of context-engineering Python Coding Conventions.instructions.md, MIT.

A set of guidelines for writing clear, maintainable Python code. It covers naming, type hints, documentation, formatting, error handling, and edge cases.

In plain words
What is it for?
Use it when creating or revising Python functions, classes, algorithms, and projects that need consistent style and clear documentation.
Why use it?
It gives the coding agent consistent rules to follow, so Python code is easier to read, review, and maintain.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is HaoZhang615/Azure-MCP-Server-Accelerator's own configuration. It tells GitHub Copilot how to work on Azure-MCP-Server-Accelerator itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Azure-MCP-Server-Accelerator configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HaoZhang615/Azure-MCP-Server-Accelerator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/HaoZhang615/Azure-MCP-Server-Accelerator/main/.github/instructions/python.instructions.md
Clone the repo
git clone --depth 1 https://github.com/HaoZhang615/Azure-MCP-Server-Accelerator

Made for: GitHub Copilot.

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Per session 428 This file is loaded in full into every session.
When invoked 428 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00428 $0.00428
Opus 5.5 $0.00171 $0.00171
Sonnet 5.5 $0.00086 $0.00086
Haiku 4.5 $0.00043 $0.00043

Measured 1mo ago against content hash d649c2f3679b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Azure-MCP-Server-Accelerator 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 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.

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.

Origin

This is a copy

100% identical to context-engineering Python Coding Conventions.instructions.md — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/instructions/python.instructions.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Coding Conventions

Python Instructions

  • Write clear and concise comments for each function.
  • Ensure functions have descriptive names and include type hints.
  • Provide docstrings following PEP 257 conventions.
  • Use the typing module for type annotations (e.g., List[str], Dict[str, int]).
  • Break down complex functions into smaller, more manageable functions.

General Instructions

  • Always prioritize readability and clarity.
  • For algorithm-related code, include explanations of the approach used.
  • Write code with good maintainability practices, including comments on why certain design decisions were made.
  • Handle edge cases and write clear exception handling.
  • For libraries or external dependencies, mention their usage and purpose in comments.
  • Use consistent naming conventions and follow language-specific best practices.
  • Write concise, efficient, and idiomatic code that is also easily understandable.

Code Style and Formatting

  • Follow the PEP 8 style guide for Python.
  • Maintain proper indentation (use 4 spaces for each level of indentation).
  • Ensure lines do not exceed 79 characters.
  • Place function and class docstrings immediately after the def or class keyword.
  • Use blank lines to separate functions, classes, and code blocks where appropriate.

Edge Cases and Testing

  • Always include test cases for critical paths of the application.
  • Account for common edge cases like empty inputs, invalid data types, and large datasets.
  • Include comments for edge cases and the expected behavior in those cases.
  • Write unit tests for functions and document them with docstrings explaining the test cases.

Example of Proper Documentation

def calculate_area(radius: float) -> float:
    """
    Calculate the area of a circle given the radius.
    
    Parameters:
    radius (float): The radius of the circle.
    
    Returns:
    float: The area of the circle, calculated as π * radius^2.
    """
    import math
    return math.pi * radius ** 2

Read the full file on GitHub · 57 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 · 57 lines · 428 tokens per session scan A d649c2f3679b

Subscribe to this mod's changes

Azure-MCP-Server-Accelerator python.instructions.md is an instructions file published in the GitHub repository HaoZhang615/Azure-MCP-Server-Accelerator (2 stars, last pushed 1y ago), licensed MIT. It adds 428 tokens to every session, about $0.0017 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to context-engineering Python Coding Conventions.instructions.md, differing in 8 lines, and is treated as a copy.

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