copilot-repo-template python.instructions.md

A set of repository rules for writing Python code that is maintainable, predictable, portable, and security-conscious. It covers Python files, scripts, tests, and supporting tools.

In plain words
What is it for?
Use it as guidance when adding or reviewing Python code, choosing dependencies, supporting different environments, writing tests, or documenting repository tools.
Why use it?
It gives contributors a shared standard for code structure, dependencies, error handling, testing, and documentation instead of leaving those choices inconsistent.

Instructions file for GitHub Copilot

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/franklesniak/copilot-repo-template/python
Clone the repo
git clone --depth 1 https://github.com/franklesniak/copilot-repo-template

Made for: GitHub Copilot.

Per session 14,305 This file is loaded in full into every session.
When invoked 14,305 The same file — it is already loaded in full.
Security scan A 2 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 $0.14305 $0.14305
Opus 5 $0.07153 $0.07153
Sonnet 5 $0.02861 $0.02861
Haiku 4.5 $0.01431 $0.01431

Measured 2d ago against content hash 1478d320b9c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

copilot-repo-template python.instructions.md scanned grade A with 2 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

from urllib.parse import urlsplit, urlunsplit

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

- On Windows, when rendering the argv-style command line that matches Python's `subprocess` behavior, use `subprocess.list2cmdline()` behind an `os.name == "nt"` branch. This gives display parity with Python's Windows ar
.github/instructions/python.instructions.md · 850 lines

How it starts

The opening of the file, as written. The whole thing — 850 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Writing Style

Version: 1.10.20260704.0

Metadata

  • Status: Active
  • Owner: Repository Maintainers
  • Last Updated: 2026-07-04
  • Scope: Defines Python coding standards for all Python files in this repository, including modules, scripts, tests, and tooling. Covers style, structure, error handling, testing, and documentation requirements.
  • Related: Repository Copilot Instructions

Purpose and Scope

This guide establishes the Python coding standards for the repository. Code MUST be maintainable, deterministic, and security-conscious. The style adapts to project constraints: stdlib-first, portability-first by default, shifting to modern-advanced when required by the technology stack (async frameworks, type-heavy APIs, etc.).

Note: This document uses RFC 2119 keywords (MUST, MUST NOT, SHOULD, SHOULD NOT, MAY) to indicate requirement levels.

Executive Summary: Author Profile

The default style is a highly disciplined stdlib-first, portability-first approach. When code can reasonably run on a minimal, widely available Python baseline, it SHOULD: minimize dependencies, avoid unnecessary metaprogramming, and prefer clarity over cleverness.

This baseline is not dogma. When external constraints require modern Python (e.g., typing-heavy APIs, async I/O, Pydantic models, FastAPI), the style intentionally shifts to a modern-advanced posture.

Quick Reference Checklist

Layout and Formatting

  • [All] MUST use 4 spaces; never tabs.
  • [All] MUST follow PEP 8/PEP 257; line length target <= 100 (MAY exceed for URLs/long strings when readability wins).
  • [All] MUST keep formatting tool-friendly: MUST NOT hand-align with extra whitespace.
  • [All] SHOULD use f-strings for interpolation; SHOULD NOT use % or .format() formatting except when required.
  • [All] SHOULD NOT rely on same-line implicit concatenation of adjacent string literals such as f"a " "b" or "a" "b", and SHOULD NOT mix an f-string with an adjacent plain literal on the same line; a missing comma silently concatenates instead of erroring. Prefer one f-string or plain literal, and reserve adjacency for intentional multi-line wrapping described below.
  • [All] MUST NOT include trailing whitespace; files MUST end with a single newline.

Read the full file on GitHub · 850 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 · 850 lines · 14,305 tokens per session scan A 1478d320b9c9

Subscribe to this mod's changes

copilot-repo-template python.instructions.md is an instructions file published in the GitHub repository franklesniak/copilot-repo-template (8 stars, last pushed 16d ago), licensed MIT. It adds 14,305 tokens to every session, about $0.0715 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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