What is PyAutoNerves copilot-instructions.md?

Repository-specific instructions for PyAutoNerves, a Python package that handles configuration, data serialization, and input/output for the PyAuto ecosystem. They point agents to the main project rules for building, testing, architecture, and conventions.

Use them when working on PyAutoNerves code, tests, configuration behavior, serialization, or I/O.

They give a coding agent the project context and rules it needs before changing this foundational package.

How PyAutoLabs/PyAutoNerves configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to PyAutoLabs/PyAutoNerves. 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/PyAutoNerves/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/PyAutoLabs/PyAutoNerves

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/pyautolabs/pyautonerves/copilot-instructions/github.svg)](https://agentmods.dev/instructions/pyautolabs/pyautonerves/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/pyautolabs/pyautonerves/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pyautolabs/pyautonerves/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/pyautolabs/pyautonerves/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pyautolabs/pyautonerves/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 109 This file is loaded in full into every session.

When invoked 109 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.

Model	Per session	Once invoked
Fable 5.1	$0.00109	$0.00109
Opus 5.5	$0.00044	$0.00044
Sonnet 5.5	$0.00022	$0.00022
Haiku 4.5	$0.00011	$0.00011

Measured 2mo ago against content hash 860dd400150f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

PyAutoNerves 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 · 10 lines

What it actually says

Copilot Coding Agent Instructions

You are working on PyAutoNerves, the configuration, serialization and I/O foundation of the PyAuto ecosystem (package autonerves).

The canonical, agent-agnostic instructions for this repo live in AGENTS.md at the repository root — build and test commands, architecture, the base-layer config rules, and conventions. 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.

2mo ago First seen · 10 lines · 109 tokens per session scan A 860dd400150f

Subscribe to this mod's changes

PyAutoNerves copilot-instructions.md is an instructions file published in the GitHub repository PyAutoLabs/PyAutoNerves (2 stars, last pushed yesterday), licensed MIT. It adds 109 tokens to every session, about $0.0004 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.

Languages Python

PyAutoNerves copilot-instructions.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
PyAutoNerves copilot-instructions.mdPyAutoLabs/PyAutoNerves	Instructions file	2	yesterday	MIT	A	109	GitHub Copilot
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

PyAutoNerves: Instructions file for GitHub Copilot