Borrowing it
Nothing to install: this file belongs to amir0135/github-copilot-use-cases. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/amir0135/github-copilot-use-cases/main/.github/instructions/python.instructions.mdgit clone --depth 1 https://github.com/amir0135/github-copilot-use-casesWrote 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.
[](https://agentmods.dev/instructions/amir0135/github-copilot-use-cases/python)<a href="https://agentmods.dev/instructions/amir0135/github-copilot-use-cases/python"><img src="https://agentmods.dev/badge/instructions/amir0135/github-copilot-use-cases/python/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.
<a href="https://agentmods.dev/instructions/amir0135/github-copilot-use-cases/python"><img src="https://agentmods.dev/badge/instructions/amir0135/github-copilot-use-cases/python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
Grade A, and why
github-copilot-use-cases 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.
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.
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
typingmodule 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
deforclasskeyword. - 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
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.
- 1mo ago First seen · 57 lines · 428 tokens per session scan A d649c2f3679b
github-copilot-use-cases python.instructions.md is an instructions file published in the GitHub repository amir0135/github-copilot-use-cases (2 stars, last pushed 2mo 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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