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ai-coding-rules python.instructions.md

Python coding rules for projects written in Python. They cover type hints, data structures, file handling, formatting, error handling, asynchronous code, and naming conventions.

In plain words
What is it for?
Use them when adding or reviewing Python functions, classes, file and network operations, data models, exceptions, logging, or asynchronous I/O.
Why use it?
They help keep Python code easier to read, safer to maintain, and more consistent across contributors. They also discourage broad exception handling and unmanaged resources.

Instructions file for GitHub Copilot

27 4mo ago A scan 157 tokens original MIT
View the source file zoxknez/ai-coding-rules
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 instructions/zoxknez/ai-coding-rules/python
Clone the repo
git clone --depth 1 https://github.com/zoxknez/ai-coding-rules

Made for: GitHub Copilot.

Per session 157 This file is loaded in full into every session.
When invoked 157 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 $0.00157 $0.00157
Opus 5 $0.00078 $0.00078
Sonnet 5 $0.00031 $0.00031
Haiku 4.5 $0.00016 $0.00016

Measured 2d ago against content hash 1b6a5374ac35, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-coding-rules 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 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.

.github/instructions/python.instructions.md · 19 lines

What it actually says

Follow MASTER_RULES.md.

Python rules:

  • Use type hints for function signatures.
  • Prefer dataclasses or Pydantic for data structures.
  • Use with statements for resource management.
  • Prefer list/dict/set comprehensions over loops when readable.
  • Use pathlib.Path over os.path.
  • Prefer f-strings over .format() or %.
  • Handle exceptions specifically (avoid bare except:).
  • Use virtual environments (venv, poetry, uv).
  • Follow PEP 8 naming: snake_case for functions/variables, PascalCase for classes.
  • Use logging module, not print() for production code.
  • Prefer asyncio for I/O-bound concurrency.
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 · 19 lines · 157 tokens per session scan A 1b6a5374ac35

Subscribe to this mod's changes

ai-coding-rules python.instructions.md is an instructions file published in the GitHub repository zoxknez/ai-coding-rules (27 stars, last pushed 4mo ago), licensed MIT. It adds 157 tokens to every session, about $0.0008 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 2026-08-30.

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