python

A rule for responses involving Python code that requires a specific phrase at the beginning and sets preferred Python style. It favors functions, type hints, clear names, modular code, and common formatting checks.

In plain words
What is it for?
Use it when generating or reviewing Python code, including functions, asynchronous code, file handling, formatting, and Ruff configuration.
Why use it?
It keeps Python examples consistent and readable across responses. The required opening phrase also signals that the rule has been applied.

Cursor rule for Cursor

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 rules/yangkyeongmo/mcp-server-apache-airflow/python
Clone the repo
git clone --depth 1 https://github.com/yangkyeongmo/mcp-server-apache-airflow

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 842 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.00842
Opus 5 $0.00000 $0.00421
Sonnet 5 $0.00000 $0.00168
Haiku 4.5 $0.00000 $0.00084

Measured 2d ago against content hash 9402bcf374d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • python — 100% identical, 0 lines differ
.cursor/rules/python.mdc · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

At the start of your every response, say "APPLIED PYTHON RULE".

Python Language Rule

Key Principles

  • Write concise, technical Python code with accurate examples.
  • Use functional programming; prefer functions over classes where possible.
  • Prefer iteration and modularization over code duplication.
  • Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission).
  • Use lowercase_with_underscores for variables, functions, and file names.
  • Follow PEP 8 style guidelines.

Python Language Guidelines

  • Use def for functions, async def for asynchronous operations.
  • Use type hints for all function signatures and variables where helpful.
  • Use f-strings for string formatting.
  • Prefer list/dict comprehensions over loops when readable.
  • Use with statements for resource management (files, connections).
  • Use *args and **kwargs appropriately for flexible function signatures.

Code Style (Ruff Configuration)

Follow these ruff settings for consistent style:

  • Line length: 120 characters
  • Target Python version: 3.9+
  • Enable: pycodestyle errors/warnings (E, W), pyflakes (F), isort (I), flake8-comprehensions (C), flake8-bugbear (B)
  • Known first-party imports: ["src"]
  • Combine imports as single statements and force sort within sections
  • Allow unused imports in __init__.py files

Error Handling

  • Handle errors and edge cases at the start of functions (guard clauses).
  • Use early returns for error conditions; avoid deep nesting and unnecessary else.
  • Place the happy path last in the function.
  • Use specific exception types rather than bare except:.
  • Implement proper exception handling with meaningful error messages.
  • Use try/except/finally blocks appropriately.
  • Keep try-except blocks minimal - cover only the specific operations that can fail.

Code Structure

  • Put constants (strings, string templates, etc.) at the top of the file after imports.
  • Import standard library modules first, then third-party, then local imports.
  • Caller should come before callee - define functions before they are called.
  • Use docstrings for functions and classes following PEP 257.
  • Keep functions small and focused on a single responsibility.
  • Use meaningful function and variable names that explain intent.
  • Avoid global variables; pass data through function parameters.

Read the full file on GitHub · 76 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 · 76 lines · 842 tokens per session scan A 9402bcf374d2

Subscribe to this mod's changes

python is a cursor rule published in the GitHub repository yangkyeongmo/mcp-server-apache-airflow (177 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 842 tokens. 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 2026-08-30.