python

A set of Python coding rules covering style, typing, formatting, testing, error handling, database queries, and secret management.

In plain words
What is it for?
Writing and reviewing Python code with PEP 8, type hints, Black, Ruff, pytest, safe SQL parameters, and environment-based secrets.
Why use it?
It gives the agent consistent standards to follow and points out practices that can cause bugs or security problems.

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/jnpiyush/agentx/python
Clone the repo
git clone --depth 1 https://github.com/jnPiyush/AgentX

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 155 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 $0.00155
Opus 5 $0.00000 $0.00077
Sonnet 5 $0.00000 $0.00031
Haiku 4.5 $0.00000 $0.00015

Measured yesterday against content hash 7fc716f2a724, 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.

.cursor/rules/python.mdc · 18 lines

What it actually says

Python (AgentX)

Canonical: .github/instructions/python.instructions.md and .github/skills/languages/python/SKILL.md -- read for full standards.

  • PEP 8; type hints on all signatures; Black 88-col; ruff lint/format.
  • Google-style docstrings; pytest (+ pytest-asyncio); name tests test_function_scenario_expected.
  • Catch specific exceptions, never bare except:.
  • Parameterize SQL via ORM or cursor.execute(sql, params) -- never f-strings.
  • Secrets via env/Key Vault, never hardcoded.
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 · 18 lines · 155 tokens per session scan A 7fc716f2a724

Subscribe to this mod's changes

python is a cursor rule published in the GitHub repository jnPiyush/AgentX (15 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 155 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.