loadout: Instructions file for GitHub Copilot

.github/instructions/python.instructions.md

loadout python.instructions.md is an instructions file for GitHub Copilot from stefaniuk/loadout. It costs 16,660 tokens per session, scanned A, original, MIT.

Engineering guidance for building Python command-line tools and web APIs. It covers common Python libraries and frameworks, including Django, FastAPI, and AWS Lambda deployments.

In plain words
What is it for?
Use it when creating or changing Python CLIs, web APIs, terminal interfaces, or serverless endpoints.
Why use it?
It gives an AI coding agent consistent rules for organizing, testing, and improving Python services and command-line programs.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is stefaniuk/loadout's own configuration. It tells GitHub Copilot how to work on loadout itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything loadout configures →

Reuse

Borrowing it

Nothing to install: this file belongs to stefaniuk/loadout. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/stefaniuk/loadout/main/.github/instructions/python.instructions.md
Clone the repo
git clone --depth 1 https://github.com/stefaniuk/loadout

Made for: GitHub Copilot.

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Per session 16,660 This file is loaded in full into every session.
When invoked 16,660 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

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ModelPer sessionOnce invoked
Fable 5.1 $0.16660 $0.16660
Opus 5.5 $0.06664 $0.06664
Sonnet 5.5 $0.03332 $0.03332
Haiku 4.5 $0.01666 $0.01666

Measured 1mo ago against content hash 7e6e7a8ab17d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

loadout 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 1mo 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 · 1,125 lines

How it starts

The opening of the file, as written. The whole thing — 1,125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python Engineering Instructions (CLI + API, framework-agnostic) 🐍

These instructions define the default engineering approach for building modern, production-grade Python CLIs and APIs.

They must remain applicable to:

  • Minimal CLIs (standard library argparse)
  • Command frameworks (for example Typer, Click)
  • Rich output and TUIs (for example Rich, Textual, prompt_toolkit)
  • Django (including Django REST Framework)
  • FastAPI (ASGI)
  • AWS Lambda–hosted APIs (for example API Gateway + Lambda, function URLs, or containers)

They are non-negotiable unless an exception is explicitly documented (with rationale and expiry) in an ADR/decision record.

Identifier scheme. Every normative rule carries a unique tag in the form [PY-<prefix>-NNN], where the prefix maps to the containing section (for example OP for Operating Principles, LCL for Local-first developer experience, QG for Quality Gates, continuing through AI for AI-assisted expectations). Use these identifiers when referencing, planning, or validating requirements.


0. Quick reference (apply first) 🧠

This section exists so humans and AI assistants can reliably apply the most important rules even when context is tight.

  • [PY-QR-001] Specification first: treat the specification as the source of truth for behaviour ([PY-OP-001]).
  • [PY-QR-002] Small, safe changes: prefer small, explicit, testable changes ([PY-OP-002], [PY-OP-006]).
  • [PY-QR-003] Fast feedback: local development and tests must be quick and confidence-building ([PY-OP-007], [PY-LCL-001]–[PY-LCL-008]).
  • [PY-QR-004] Run the quality gates after any code/test change and iterate to clean ([PY-QG-001]–[PY-QG-005]).
  • [PY-QR-005] Validate at boundaries and reject ambiguous inputs ([PY-DATA-001]–[PY-DATA-003]).
  • [PY-QR-006] Deterministic outputs: stable ordering, stable field naming, no hidden randomness ([PY-OP-003], [PY-CTR-007]).
  • [PY-QR-007] Correct CLI streams: stdout for primary output, stderr for diagnostics ([PY-BEH-008]–[PY-BEH-011]).
  • [PY-QR-008] No secrets in args or logs: use env vars or secure prompts; never print secrets ([PY-SEC-001]–[PY-SEC-004], [PY-OBS-013]).
  • [PY-QR-009] Local by default: no real cloud/network by default; use fakes/emulators; explicit integration mode switches ([PY-EXT-001]–[PY-EXT-007]).
  • [PY-QR-010] Operational visibility: correlation IDs and structured logs for APIs; controlled diagnostics only ([PY-OBS-004]–[PY-OBS-010], [PY-OBS-015]–[PY-OBS-026], [PY-ERR-013]).
  • [PY-QR-011] Static typing is mandatory: type hints + static analysis (mypy) are the critical safety net for AI-generated code; enforce in CI ([PY-TYP-001]–[PY-TYP-012]).
  • [PY-QR-012] Avoid common anti-patterns: bare except, mutable defaults, assert for validation, global mutable state, untyped public APIs (§6, §21).

Read the full file on GitHub · 1,125 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. 1mo ago First seen · 1,125 lines · 16,660 tokens per session scan A 7e6e7a8ab17d

Subscribe to this mod's changes

loadout python.instructions.md is an instructions file published in the GitHub repository stefaniuk/loadout (1 stars, last pushed yesterday), licensed MIT. It adds 16,660 tokens to every session, about $0.0666 per session on Opus 5.5. 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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