PyAutoArray: Instructions file for GitHub Copilot

.github/copilot-instructions.md

PyAutoArray copilot-instructions.md is an instructions file for GitHub Copilot from PyAutoLabs/PyAutoArray. It costs 130 tokens per session, scanned A, original, MIT.

Repository instructions for PyAutoArray, a Python library that provides data structures and numerical operations for the PyAuto ecosystem.

In plain words
What is it for?
Use them when modifying PyAutoArray code, particularly its build and test workflow, numerical backend conventions, grid decorators, and related documentation.
Why use it?
They direct the coding agent to the repository's main instructions and conventions before making changes, reducing the risk of breaking its JAX and array-handling patterns.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file. Also seen: mentions AGENTS.md.

This is PyAutoLabs/PyAutoArray's own configuration. It tells GitHub Copilot how to work on PyAutoArray 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 PyAutoArray configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PyAutoLabs/PyAutoArray. 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/PyAutoLabs/PyAutoArray/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/PyAutoLabs/PyAutoArray

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 PyAutoArray copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/pyautolabs/pyautoarray/copilot-instructions/github.svg)](https://agentmods.dev/instructions/pyautolabs/pyautoarray/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/pyautolabs/pyautoarray/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pyautolabs/pyautoarray/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for PyAutoArray copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/pyautolabs/pyautoarray/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pyautolabs/pyautoarray/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 This file is loaded in full into every session.
When invoked 130 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

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 $0.00130 $0.00130
Opus 5.5 $0.00052 $0.00052
Sonnet 5.5 $0.00026 $0.00026
Haiku 4.5 $0.00013 $0.00013

Measured 2mo ago against content hash 9252e3337806, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

PyAutoArray copilot-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 2mo 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/copilot-instructions.md · 11 lines

What it actually says

Copilot Coding Agent Instructions

You are working on PyAutoArray, the low-level data-structure and numerical layer of the PyAuto ecosystem (package autoarray).

The canonical, agent-agnostic instructions for this repo live in AGENTS.md at the repository root — build and test commands, architecture, and the JAX / xp and grid-decorator conventions (with the deep reference in docs/agents/jax_and_decorators.md). Read it directly (Copilot does not process @-imports) and treat it as the single source of truth.

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. 2mo ago First seen · 11 lines · 130 tokens per session scan A 9252e3337806

Subscribe to this mod's changes

PyAutoArray copilot-instructions.md is an instructions file published in the GitHub repository PyAutoLabs/PyAutoArray (11 stars, last pushed yesterday), licensed MIT. It adds 130 tokens to every session, about $0.0005 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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