Borrowing it
Nothing to install: this file belongs to robotto-xyz/ai-drone-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/robotto-xyz/ai-drone-toolkit/main/AGENTS.mdgit clone --depth 1 https://github.com/robotto-xyz/ai-drone-toolkitWrote 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.
[](https://agentmods.dev/instructions/robotto-xyz/ai-drone-toolkit/agents-md)<a href="https://agentmods.dev/instructions/robotto-xyz/ai-drone-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/robotto-xyz/ai-drone-toolkit/agents-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.03816 | $0.03816 |
| Opus 5 | $0.01908 | $0.01908 |
| Sonnet 5 | $0.00763 | $0.00763 |
| Haiku 4.5 | $0.00382 | $0.00382 |
Grade A, and why
ai-drone-toolkit AGENTS.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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — AI Drone Toolkit
Grounding file for AI coding agents (Cursor, Claude Code, etc.) working in this repository. Read this before writing code. It encodes the architecture, the hard rules, the domain landmines, and the roadmap so suggestions land in the right place and don't reintroduce bugs we've already fixed.
1. What this project is
Robotto (https://robotto.xyz) is building "the intelligence layer for the physical world," starting with drones. This repository — AI Drone Toolkit — is the open-source flagship: a suite of Model Context Protocol (MCP) servers and libraries that let AI assistants (Cursor, Claude, etc.) understand, debug, and eventually command drone systems.
The toolkit has two product tracks:
- Read / diagnose — backward-looking analysis of flight data. Offline,
zero-risk. Shipping today:
px4-ulog-mcp(PX4.ulgflight-log inspection). - Command — natural-language → simulated drone control. The mirror image:
intent → bounded action tools → PX4 SITL → telemetry back. Shipping today:
px4-sitl-mcp(simulation-only PX4 SITL command). It is code-complete with simulator-free tests for the safety, frame, fleet, and connection logic; its live MAVSDK flight paths still need verification against a running PX4 SITL (see Roadmap).
The guiding product belief: two genuinely-finished, polished servers beat six toy repos. Finish things. Depth over breadth.
2. Repository layout
This is a uv workspace monorepo. Shared,
MCP-agnostic logic lives in a core package; each tool is a thin, independently
installable layer on top.
ai-drone-toolkit/
├── packages/
│ └── robotto-drone-core/ # Shared, MCP-AGNOSTIC parsers & utilities.
│ # PX4 ULog parsing today; coordinate-frame,
│ # telemetry, and SAFETY helpers as the toolkit grows.
├── tools/
│ ├── px4-ulog-mcp/ # MCP server: inspect PX4 .ulg logs.
│ └── px4-sitl-mcp/ # MCP server: command PX4 SITL only.
│ # (future tools live here, one dir each)
├── examples/ # Runnable scripts that drive core directly
│ # (no MCP client needed).
├── docs/ # Architecture & project-wide guides.
├── pyproject.toml # Workspace root.
└── uv.lock
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.
- 7d ago First seen · 281 lines · 3,816 tokens per session scan A 2d7782e049ce
ai-drone-toolkit AGENTS.md is an instructions file published in the GitHub repository robotto-xyz/ai-drone-toolkit (3 stars, last pushed 2mo ago), licensed MIT. It adds 3,816 tokens to every session, about $0.0191 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 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.