qgroundcontrol copilot-instructions.md

A repository guide for QGroundControl, an application used to plan and control drone missions. It points coding agents to the project structure, build and test commands, continuous-integration setup, and detailed contributor references.

In plain words
What is it for?
Use it when modifying QGroundControl, building it, running tests, checking continuous integration, or consulting coding and contribution rules.
Why use it?
It helps an agent find the right files and commands before making changes, so development follows the project’s existing practices.

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/mavlink/qgroundcontrol/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/mavlink/qgroundcontrol

Made for: GitHub Copilot.

Per session 77 This file is loaded in full into every session.
When invoked 77 The same file — it is already loaded in full.
Security scan A 0 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 $0.00077 $0.00077
Opus 5 $0.00039 $0.00039
Sonnet 5 $0.00015 $0.00015
Haiku 4.5 $0.00008 $0.00008

Measured 3d ago against content hash 0cfb3e011463, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qgroundcontrol 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 3d 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 · 7 lines

What it actually says

QGroundControl AI Assistant Guide

The canonical AI agent guide is AGENTS.mdread it first. It lists the critical files, code structure, build/test commands, CI layout, and links to every topic-specific reference (CODING_STYLE, CONTRIBUTING, tools/README, test/README, .github/ci-overview).

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. 3d ago First seen · 7 lines · 77 tokens per session scan A 0cfb3e011463

Subscribe to this mod's changes

qgroundcontrol copilot-instructions.md is an instructions file published in the GitHub repository mavlink/qgroundcontrol (4,888 stars, last pushed today), licensed Apache-2.0. It adds 77 tokens to every session, about $0.0004 per session on Opus 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 2026-08-30.