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.
npx skills add hamzabellouch/agent-skills --skill drone-autopilot-mavlinkgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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/skills/hamzabellouch/agent-skills/drone-autopilot-mavlink)<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/drone-autopilot-mavlink"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/drone-autopilot-mavlink/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.
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/drone-autopilot-mavlink"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/drone-autopilot-mavlink.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.01803 |
| Opus 5 | $0.00034 | $0.00901 |
| Sonnet 5 | $0.00014 | $0.00361 |
| Haiku 4.5 | $0.00007 | $0.00180 |
Grade A, and why
drone-autopilot-mavlink 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 8d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Drone Autopilot & MAVLink Mission Control Guidelines
This skill details architecture, telemetry stream decoding, offboard velocity/position control, fail-safe state machine design, and companion computer integration for autonomous Unmanned Aerial Vehicles (UAV) running PX4 or ArduPilot firmware.
1. MAVLink Protocol & Autopilot Communication Architecture
MAVLink (Micro Air Vehicle Link) is a lightweight binary protocol over UDP/Serial for communicating between Flight Controllers (PX4/ArduPilot), Companion Computers (Raspberry Pi/Jetson), and Ground Control Stations (QGroundControl):
+------------------------------------+ UDP / Serial (MAVLink 2.0) +--------------------------------------+
| Companion Computer | <------------------------------------------> | Flight Controller |
| (MAVSDK / PyMAVLink / Offboard) | | (PX4 / ArduPilot Autopilot) |
+------------------------------------+ +--------------------------------------+
| |
REST / gRPC PWM / CAN Bus
v v
+------------------------------------+ +--------------------------------------+
| Cloud Telemetry / Fleet | | ESC / Motors / GPS / RTK / IMU |
+------------------------------------+ +--------------------------------------+
2. Autonomous Offboard Flight Script (MAVSDK Python)
Below is a production-grade, asynchronous offboard mission script using MAVSDK Python featuring heartbeat verification, pre-arm safety checks, takeoff, velocity guidance, geofencing, and automated Return-to-Launch (RTL):
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.
- 8d ago First seen · 170 lines · 69 tokens per session scan A ffaca7dc0ef6
drone-autopilot-mavlink is a skill published in the GitHub repository hamzabellouch/agent-skills (4 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,803 once invoked, about $0.0003 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 2026-09-03.
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