agentharness python.instructions.md

agentharness python.instructions.md is an instructions file for GitHub Copilot from andr-ca/agentharness. It costs 843 tokens per session, scanned A, original, MIT.

A style guide for Python code, covering names, imports, type hints, string formatting, and common pitfalls. Python is a general-purpose programming language often used for web services, automation, and data work.

In plain words
What is it for?
Use it when writing, reviewing, or refactoring Python files and deciding how code should be formatted and organized.
Why use it?
It keeps Python code consistent and makes common readability and maintenance problems easier to avoid.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot chat mode or prompt. Also seen: reads .claude/ paths.

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/andr-ca/agentharness/python
Clone the repo
git clone --depth 1 https://github.com/andr-ca/agentharness

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for agentharness python.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/andr-ca/agentharness/python.svg)](https://agentmods.dev/instructions/andr-ca/agentharness/python)
Your own site
<a href="https://agentmods.dev/instructions/andr-ca/agentharness/python"><img src="https://agentmods.dev/badge/instructions/andr-ca/agentharness/python.svg" alt="Measured on agentmods" height="20"></a>
Per session 843 This file is loaded in full into every session.
When invoked 843 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 5.1 $0.00843 $0.00843
Opus 5 $0.00421 $0.00421
Sonnet 5 $0.00169 $0.00169
Haiku 4.5 $0.00084 $0.00084

Measured 2d ago against content hash ac766db7f393, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agentharness 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 · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generated from languages/python/CONVENTIONS.md by tools/generate-copilot-instructions.sh (https://github.com/andr-ca/agentharness) — do not hand-edit; regenerate instead. Only applied by Copilot when editing a file matching *.py.


Python Conventions & Best Practices

.claude/skills/python-conventions/SKILL.md has the terse, actionable version of this doc (naming, imports, type hints, three pitfalls, testing structure) — load that for day-to-day work. This doc adds: the handful of choices this repo actually makes among multiple valid options (most Python style below is just PEP 8/typing convention, not a decision — see PEP 8 and the Google Python Style Guide for everything not listed here), plus two pitfalls the skill doesn't cover.

Choices this repo makes (not just "the PEP 8 default")

  • Line length: 88 characters (Black's default), not PEP 8's original 79 — check the project's own pyproject.toml first, since an existing project may have picked something else.
  • String quotes: double by default ("like this"); single only to avoid escaping ('It\'s here' reads better than "It's here" when it would otherwise need a backslash). A formatter normalizes this — don't hand-police it in review.
  • Docstrings: Google style (reference), unless the project's existing code already uses a different one consistently.

Two pitfalls the skill doesn't cover

Global mutable state — module-level dicts/lists accumulating shared state are hard to test and reason about; encapsulate in a class instead:

# Avoid: module-level cache any caller can mutate
_cache = {}
def get_cached(key):
    if key not in _cache:
        _cache[key] = expensive_operation(key)
    return _cache[key]

# Prefer: instance-scoped, explicit lifetime
class Cache:
    def __init__(self):
        self._cache = {}
    def get(self, key):
        return self._cache.setdefault(key, expensive_operation(key))

Read the full file on GitHub · 91 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 · 91 lines · 843 tokens per session scan A ac766db7f393

Subscribe to this mod's changes

agentharness python.instructions.md is an instructions file published in the GitHub repository andr-ca/agentharness (1 stars, last pushed 2d ago), licensed MIT. It adds 843 tokens to every session, about $0.0042 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 2026-09-03.