lua-vehicle

lua-vehicle is a skill for Claude Code, Codex from fossuav/aap. It costs 35 tokens per session (573 once invoked), scanned A, original, GPL-3.0.

A skill for writing ArduPilot Lua scripts. ArduPilot is software that controls vehicles such as drones and other autonomous vehicles.

In plain words
What is it for?
Use it to create scripts for movement commands, remote-control input, or vehicle telemetry.
Why use it?
It provides task-specific guidance when Lua code needs to control a vehicle or read its status.

Skill for Claude CodeCodex

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 skills/fossuav/aap/lua-vehicle
Any agent
npx skills add fossuav/aap --skill lua-vehicle
Clone the repo
git clone --depth 1 https://github.com/fossuav/aap

Made for: Claude Code, Codex.

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 lua-vehicle

README.md
[![agentmods](https://agentmods.dev/badge/skills/fossuav/aap/lua-vehicle.svg)](https://agentmods.dev/skills/fossuav/aap/lua-vehicle)
Your own site
<a href="https://agentmods.dev/skills/fossuav/aap/lua-vehicle"><img src="https://agentmods.dev/badge/skills/fossuav/aap/lua-vehicle.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 573 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00035 $0.00573
Opus 5 $0.00017 $0.00287
Sonnet 5 $0.00007 $0.00115
Haiku 4.5 $0.00003 $0.00057

Measured 3d ago against content hash 889b355858b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lua-vehicle 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.

claude/skills/lua-vehicle/SKILL.md · 49 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 3d ago First seen · 49 lines · 35 tokens per session scan A 889b355858b9

Subscribe to this mod's changes

lua-vehicle is a skill published in the GitHub repository fossuav/aap (19 stars, last pushed 13d ago), licensed GPL-3.0. It adds 35 tokens to every session and 573 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

hardcoded-secret-detection

Detect hardcoded secrets in code or configuration accessible to the target agent. Focuses on secrets embedded in source, configs, or IaC, not runtime leaks.

Tencent/AI-Infra-Guard · 38 tokens

extracting-dicom-metadata

Reads DICOM file headers and DICOM-SR (Structured Report) content to pull study/series metadata and embedded report text, and flags PHI carried in header tags. Use before OpenMed processing when ingesting imaging data (CT/MR/CR/US, radiology SR) and you need the report narrative de-identified and analyzed, plus a list…

maziyarpanahi/openmed · 147 tokens

parsing-hl7v2-messages

Decodes pipe-delimited HL7 v2.x messages (ADT, ORU, MDM, ORM) into structured segments/fields/components and surfaces OBX-5 and NTE-3 free-text narrative for OpenMed. Use before OpenMed processing when ingesting HL7 v2 feeds from an interface engine, lab/results system, or ADT stream and you need the embedded clinical…

maziyarpanahi/openmed · 169 tokens

packet-tracer

Use when building, automating, or debugging Cisco Packet Tracer networks through the packet-tracer MCP (the pt tools) — planning topologies from natural language, live-deploying into a running Packet Tracer, adding devices / links / modules, applying ACL / NAT, exporting configs, or writing raw Script-Engine JS via…

Mats2208/MCP-Packet-Tracer · 139 tokens

autofish-control

Control Android devices with Autofish via the af CLI. Use this skill when you need reliable observe-act-verify loops, ref-based tapping, overlay management, screenshots, and recovery steps.

felinics/Autofish · 42 tokens

markdown-viewer

Create rich diagrams, data visualizations, technical architecture views, and editorial content cards directly in Markdown using the Markdown Viewer Agent Skills pack. Use for Mermaid-like diagram requests, PlantUML architecture diagrams, Vega charts, JSON Canvas maps, infographics, UML, cloud/network/security/data/IoT…

EKKOLearnAI/hermes-studio · 71 tokens