m5-onboard

m5-onboard is a skill for Claude Code from dakshaymehta/cardputer-claude-os. It costs 283 tokens per session (6,360 once invoked), scanned B, a copy of m5-onboard, Apache-2.0.

A setup process for M5Stack ESP32 devices, which are small programmable computers, connected over USB.

In plain words
What is it for?
It helps prepare supported M5Stack devices on macOS, Linux, or Windows and install MicroPython apps such as Claude Buddy, Hello, or Snake.
Why use it?
It removes the manual work of identifying the device, installing its firmware, and copying an app onto it.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions Claude Code.

Good fit It helps prepare supported M5Stack devices on macOS, Linux, or Windows and install MicroPython apps such as Claude Buddy, Hello, or Snake.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dakshaymehta/cardputer-claude-os/m5-onboard
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.

Any agent
npx skills add dakshaymehta/cardputer-claude-os --skill m5-onboard
Clone the repo
git clone --depth 1 https://github.com/dakshaymehta/cardputer-claude-os

Made for: Claude Code.

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 m5-onboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/dakshaymehta/cardputer-claude-os/m5-onboard/github.svg)](https://agentmods.dev/skills/dakshaymehta/cardputer-claude-os/m5-onboard)
Your own site
<a href="https://agentmods.dev/skills/dakshaymehta/cardputer-claude-os/m5-onboard"><img src="https://agentmods.dev/badge/skills/dakshaymehta/cardputer-claude-os/m5-onboard/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 m5-onboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/dakshaymehta/cardputer-claude-os/m5-onboard"><img src="https://agentmods.dev/badge/skills/dakshaymehta/cardputer-claude-os/m5-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 283 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,360 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod 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 $0.00283 $0.06360
Opus 5 $0.00142 $0.03180
Sonnet 5 $0.00057 $0.01272
Haiku 4.5 $0.00028 $0.00636

Measured 12d ago against content hash 82a12cde504e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

m5-onboard scanned grade B with 2 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 12d ago.

The scan reads SKILL.md. This mod also ships 37 executable files (scripts/detect.py, scripts/fetch_firmware.py, scripts/flash.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- **Linux** — `sudo apt-get install -y git` / `sudo dnf install -y git` / `sudo pacman -S --noconfirm git`.

Makes network callslowCapability

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

- **macOS** — Python 3 is usually pre-installed as `/usr/bin/python3` on any current macOS (shipped by Apple). If for some reason it isn't, `brew install [email protected]` via Homebrew is the go-to; if Homebrew itself is miss
Origin

This is a copy

89% identical to m5-onboard — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/m5-onboard/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

M5Stack Onboarding

This skill automates the full cold-start workflow for an M5Stack ESP32 device: detect on USB, identify model, flash UIFlow 2.0, and push a MicroPython app bundle onto /flash/ so the device boots into user software. The apps we ship (Claude Buddy, Snake, Hello) talk over BLE or USB. The workflow runs on macOS, Linux, and Windows; the skill was developed against an M5Stack Basic v2.6 (CH9102 bridge, ESP32-D0WDQ6-V3, 16 MB flash) and generalized to cover the rest of the Core family, with the Cardputer-Adv (ESP32-S3, native USB) as the current default target.

Installation (one-time, per machine)

The skill lives at .claude/skills/m5-onboard/ inside this repo, so Claude Code auto-discovers it whenever the repo is added as a plugin (or the repo is opened as the working directory and .claude/skills/ is on the discovery path). No symlink step is needed in the normal case — clone the repo, point Claude Code at it, and the skill is live.

git clone <m5stack repo>             # anywhere — clone location doesn't matter

The buddy/ sibling directory ships in the same repo, so --apps buddy works out of the box after a single clone — the skill resolves the bundle relative to its own install location (via os.path.realpath(__file__)), so the repo can live anywhere on disk. ~/Downloads/m5stack/buddy/device and ~/Desktop/m5stack/buddy/device are checked as conventional fallbacks if the script-relative path doesn't pan out. Set M5_BUDDY_DIR only if you want to point at a different bundle than the one bundled with this clone — see the Platform notes section.

When to use

Use this when a user plugs in an M5Stack device and wants it provisioned. The decision tree:

  • Fresh/unknown device → run onboard.py --apps buddy end-to-end (detect → identify → flash → install apps). This is the default path.
  • Already-flashed device, user just wants apps installed/refreshed → run install_apps.py --src buddy (or any --src <path> to a directory of .py files).
  • Flashed device, something feels broken → run smoke_test.py (I2C + LCD + speaker + button check).
  • User wants to know what's on the bus / what the device can dosmoke_test.py.

Read the full file on GitHub · 195 lines

Files

What ships with it

48 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 195 lines · 283 tokens per session scan B 82a12cde504e

Subscribe to this mod's changes

m5-onboard is a skill published in the GitHub repository dakshaymehta/cardputer-claude-os (202 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 283 tokens to every session and 6,360 once invoked, about $0.0014 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). It is 89% identical to m5-onboard, differing in 47 lines, and is treated as a copy.

Related

Other skills, from other repositories

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

jetson-diagnostic

Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.

NVIDIA/skills · 30 tokens

doca-socket-relay

Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint…

NVIDIA/skills · 236 tokens

offensive-z-wave

Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…

SnailSploit/Claude-Red · 113 tokens

hsb-flash

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must…

NVIDIA/skills · 94 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens