python

A set of Python and pip package-management rules covering virtual environments and requirements.txt.

In plain words
What is it for?
It is for managing packages through an alphabetized requirements.txt file and installing them in a virtual environment.
Why use it?
It keeps Python versions and dependencies isolated, recorded, and consistently installed.

Cursor rule

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/panozzaj/cursor-rules/python
Clone the repo
git clone --depth 1 https://github.com/panozzaj/cursor-rules
Per session 174 This file is loaded in full into every session.
When invoked 174 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 $0.00174 $0.00174
Opus 5 $0.00087 $0.00087
Sonnet 5 $0.00035 $0.00035
Haiku 4.5 $0.00017 $0.00017

Measured yesterday against content hash b52de8fdd975, 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 yesterday.

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.

rules/python.mdc · 28 lines

What it actually says

Python versions / virtualenv

Use a virtual environment for cleanly managing Python versions and packages

Python packages

Manage solely through requirements.txt Sort dependencies alphabetically whenever modifying the file Whenever installing a package with pip, add it to requirements.txt first

Install it through pip install -r requirements.txt

pip install --upgrade pip

Install pip updates if you see a notice about them when installing another package.

Example:

[fake notice] A new release of pip is available: 25.0 -> 25.0.1
[fake notice] To update, run: pip install --upgrade pip
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. yesterday First seen · 28 lines · 174 tokens per session scan A b52de8fdd975

Subscribe to this mod's changes

python is a cursor rule published in the GitHub repository panozzaj/cursor-rules (3 stars, last pushed 1y ago), licensed MIT. It adds 174 tokens to every session, about $0.0009 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.