Borrowing it
Nothing to install: this file belongs to raffertyuy/github-copilot-prompts. 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/raffertyuy/github-copilot-prompts/main/.github/instructions/py.instructions.mdgit clone --depth 1 https://github.com/raffertyuy/github-copilot-promptsWrote 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/raffertyuy/github-copilot-prompts/py)<a href="https://agentmods.dev/instructions/raffertyuy/github-copilot-prompts/py"><img src="https://agentmods.dev/badge/instructions/raffertyuy/github-copilot-prompts/py/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/raffertyuy/github-copilot-prompts/py"><img src="https://agentmods.dev/badge/instructions/raffertyuy/github-copilot-prompts/py.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 | $0.00256 | $0.00256 |
| Opus 5.5 | $0.00102 | $0.00102 |
| Sonnet 5.5 | $0.00051 | $0.00051 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
github-copilot-prompts py.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.
What it actually says
Python Coding Best Practices
Python-Specific Guidelines
- Follow PEP 8 for code style and formatting.
- Group imports at the top of the file by standard library, third-party, and local imports.
- Prefer list comprehensions and generator expressions for simple transformations.
- Use type hints for function signatures and variable declarations.
Error Handling
- Avoid using bare except clauses.
- Clean up resources using context managers (
withstatement) where possible.
Documentation
- Add docstrings to all public modules, classes, functions, and methods.
- Use triple double quotes for docstrings.
Testing
- Write unit tests for all functions and classes.
- Use
unittestorpytestframeworks. - Name test files and functions clearly.
File and Directory Structure
- Use lowercase with underscores for module and file names.
- Organize code into packages and modules logically.
- Place executable code inside
if __name__ == "__main__":blocks.
Performance
- Profile and optimize only after identifying bottlenecks.
- Use built-in data structures and libraries where possible.
Version Control
- Commit code with clear, concise messages.
- Do not commit secrets or large binary files.
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 · 36 lines · 256 tokens per session scan A 48792e5a07cf
github-copilot-prompts py.instructions.md is an instructions file published in the GitHub repository raffertyuy/github-copilot-prompts (43 stars, last pushed 7mo ago), licensed MIT. It adds 256 tokens to every session, about $0.0010 per session on Opus 5.5. 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 2026-09-01.
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