AutoRAG: Instructions file for GitHub Copilot

.github/copilot-instructions.md

AutoRAG copilot-instructions.md is an instructions file for GitHub Copilot from Marker-Inc-Korea/AutoRAG. It costs 3,237 tokens per session, scanned D, original, no licence file.

A project-specific Copilot instruction file for AutoRAG, a system for improving search-and-answer pipelines over documents. The supplied details mention setup requirements, but do not include the full instructions.

In plain words
What is it for?
It is intended for development and setup work on AutoRAG, its document-search pipeline, and its platform dependencies.
Why use it?
It can tell an agent how to work with AutoRAG and its dependencies, including Java 17, but the exact guidance is not provided here.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is Marker-Inc-Korea/AutoRAG's own configuration. It tells GitHub Copilot how to work on AutoRAG 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 AutoRAG configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python tests/delete_tests.py.

Reuse

Borrowing it

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

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 AutoRAG copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/marker-inc-korea/autorag/copilot-instructions/github.svg)](https://agentmods.dev/instructions/marker-inc-korea/autorag/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/marker-inc-korea/autorag/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/marker-inc-korea/autorag/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 AutoRAG copilot-instructions.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/marker-inc-korea/autorag/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/marker-inc-korea/autorag/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3,237 This file is loaded in full into every session.
When invoked 3,237 The same file — it is already loaded in full.
Security scan D 3 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.03237 $0.03237
Opus 5 $0.01618 $0.01618
Sonnet 5 $0.00647 $0.00647
Haiku 4.5 $0.00324 $0.00324

Measured 10d ago against content hash 291cb7dc2d36, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade D, and why

AutoRAG copilot-instructions.md scanned grade D with 3 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 10d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get update

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

- Install UV package manager for faster dependency management: `curl -LsSf https://astral.sh/uv/install.sh | sh`

Makes network callslowCapability

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

- Install UV package manager for faster dependency management: `curl -LsSf https://astral.sh/uv/install.sh | sh`
.github/copilot-instructions.md · 320 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 10d ago First seen · 320 lines · 3,237 tokens per session scan D 291cb7dc2d36

Subscribe to this mod's changes

AutoRAG copilot-instructions.md is an instructions file published in the GitHub repository Marker-Inc-Korea/AutoRAG (5,063 stars, last pushed today), with no licence file. It adds 3,237 tokens to every session, about $0.0162 per session on Opus 5. A static security scan graded it D with 3 findings (asks for root, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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