zephyr-devicetree

zephyr-devicetree is a skill for Claude Code, Codex from ksachdeva/zephyr-rtos-ai. It costs 130 tokens per session (1,017 once invoked), scanned A, original, Apache-2.0.

Guidance for Zephyr's Devicetree system, which describes embedded hardware and helps generate the code settings used by device drivers. It covers hardware descriptions, configuration overlays, validation files, and C/C++ access macros.

In plain words
What is it for?
Use it to create or debug .dts, .dtsi, and .overlay files, write hardware validation bindings, configure pins, clocks, interrupts, DMA, and address mappings, or use Devicetree data in C/C++.
Why use it?
It explains how to connect board hardware descriptions with Zephyr builds and drivers, and helps diagnose generated configuration problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or debug .dts, .dtsi, and .overlay files, write hardware validation bindings, configure pins, clocks, interrupts, DMA, and address mappings, or use Devicetree data in C/C++.

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Install with agentmods
npx agentmods add skills/ksachdeva/zephyr-rtos-ai/zephyr-devicetree
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 ksachdeva/zephyr-rtos-ai --skill zephyr-devicetree
Clone the repo
git clone --depth 1 https://github.com/ksachdeva/zephyr-rtos-ai

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 zephyr-devicetree

README.md
[![agentmods](https://agentmods.dev/badge/skills/ksachdeva/zephyr-rtos-ai/zephyr-devicetree/github.svg)](https://agentmods.dev/skills/ksachdeva/zephyr-rtos-ai/zephyr-devicetree)
Your own site
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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 zephyr-devicetree

Your own site · 80×15
<a href="https://agentmods.dev/skills/ksachdeva/zephyr-rtos-ai/zephyr-devicetree"><img src="https://agentmods.dev/badge/skills/ksachdeva/zephyr-rtos-ai/zephyr-devicetree.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,017 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00130 $0.01017
Opus 5 $0.00065 $0.00508
Sonnet 5 $0.00026 $0.00203
Haiku 4.5 $0.00013 $0.00102

Measured 10d ago against content hash ee7711d54df4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

zephyr-devicetree 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 10d 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.

skills/zephyr-devicetree/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Zephyr Devicetree Skill

Expert guidance on Zephyr's devicetree system for hardware description, driver integration, and build-time code generation.

Table of Contents

  1. Core Concepts
  2. Common Workflows
  3. Hardware Configuration
  4. Advanced Topics
  5. Troubleshooting

Core Concepts

Understanding Devicetree Structure

Devicetree is a tree of nodes and properties. Zephyr uses bindings to validate nodes and generate C macros.

Key Files in a Build

After building, check these for debugging:

  • build/zephyr/zephyr.dts — Final merged devicetree
  • build/zephyr/include/generated/devicetree_generated.h — Generated macros

Common Workflows

1. Modifying Hardware via Overlays

Overlays customize hardware without modifying base Zephyr files.

  • Override properties, add nodes, enable/disable devices: See overlays.md

2. Writing Custom Bindings

Bindings define the schema for devicetree nodes.

3. Accessing Devicetree from C Code

Zephyr provides compile-time macros to access devicetree data.

  • Basic macros (node IDs, properties, registers): See macros.md
  • Advanced macros (iteration, strings, bus helpers): See advanced-macros.md

Hardware Configuration

Pin Control (Pinctrl)

Configure pin multiplexing and electrical properties.

Read the full file on GitHub · 120 lines

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. 10d ago First seen · 120 lines · 130 tokens per session scan A ee7711d54df4

Subscribe to this mod's changes

zephyr-devicetree is a skill published in the GitHub repository ksachdeva/zephyr-rtos-ai (23 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 130 tokens to every session and 1,017 once invoked, about $0.0006 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.

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