python-conventions

A set of conventions for writing and reviewing Python code. It covers names, imports, type hints, exceptions, common mistakes, and test structure.

In plain words
What is it for?
Use it when creating or reviewing Python functions, classes, imports, constants, exception types, type annotations, and tests.
Why use it?
It helps keep Python code consistent and avoids errors such as mutable default values, overly broad exception handling, and confusing equality checks.

Skill for Claude CodeCodex

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 skills/andr-ca/agentharness/python-conventions
Any agent
npx skills add andr-ca/agentharness --skill python-conventions
Clone the repo
git clone --depth 1 https://github.com/andr-ca/agentharness

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 637 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 $0.00037 $0.00637
Opus 5 $0.00018 $0.00318
Sonnet 5 $0.00007 $0.00127
Haiku 4.5 $0.00004 $0.00064

Measured yesterday against content hash 9bd812f5ec1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-conventions 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.

.claude/skills/python-conventions/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Conventions

This file is self-contained for day-to-day use. Deeper reference (needs the full harness checkout, not just this skill — these aren't bundled here since they're documentation, not something this skill runs): languages/python/CONVENTIONS.md (complete examples) and languages/python/COPILOT_INSTRUCTIONS.md (general agent operating principles for Python repos — inspect before changing, scope discipline, never claim a command passed without running it).

Naming

  • snake_case — functions, variables. PascalCase — classes. UPPER_SNAKE_CASE — module-level constants.
  • Single underscore prefix for private (_internal); avoid double underscore except for genuine name-mangling needs.
  • Exceptions: PascalCase + Error/Exception suffix, specific not generic (ValidationError, not BadThing).

Imports & structure

Standard library → third-party → local, each group separated by a blank line. Absolute imports over relative. No from module import *.

Type hints

Use them on function parameters and returns. Match syntax to the project's minimum Python version — check requires-python in pyproject.toml before using list[str] (3.9+), X | None (3.10+), or match/case (3.10+). Don't silently raise the minimum version.

Pitfalls to catch in review

# Mutable default argument — persists across calls, shared state bug
def f(item, container=[]):  # WRONG
def f(item, container=None):  # RIGHT — default to None, create inside

# Bare/broad except — swallows KeyboardInterrupt, hides real errors
except:  # WRONG
except Exception:  # still too broad, usually
except ValueError as e:  # RIGHT — catch what you expect

# `is` for value comparison — checks identity, not equality
if user_id is 5:  # WRONG
if user_id == 5:  # RIGHT (== for values, `is` only for None/True/False)

Testing

tests/ directory, test_*.py files, test_* functions, pytest fixtures for setup. See patterns/testing/TDD.md for the broader methodology — this skill covers Python-specific structure only.

Read the full file on GitHub · 70 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. yesterday First seen · 70 lines · 37 tokens per session scan A 9bd812f5ec1e

Subscribe to this mod's changes

python-conventions is a skill published in the GitHub repository andr-ca/agentharness (1 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 637 once invoked, about $0.0002 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.

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