jetson-customize-mgbe SKILL.md skillA

jetson-customize-mgbe from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/jetson-customize-mgbe@v0.0.1

Pins v0.0.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/jetson-customize-mgbe/SKILL.md
Versions recorded
1
Latest version
v0.0.1, committed Jun 22, 2026
Size
8,276 bytes
Repository stars
3,871
License
Apache-2.0

Enable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Customize MGBE / 25G QSFP

## Overview

Thor T264 exposes mgbe0..mgbe3. On a custom carrier, the 25G QSFP cage
(or 10G / 1G fiber path) is wired to one of them through SerDes — with
or without an external MDIO PHY in front of the cage. This skill
renders the kernel-DT overlay that pairs the BPMP allocation with
kernel-side `status="okay"` + PHY plumbing on `&mgbeN`.

**Out of scope:**
- UPHY lane allocation — owned by `/jetson-customize-uphy`. Refuse if
  the chosen `uphy1-config-N` doesn't allocate the target MGBE.
- All ODMDATA tokens (`mgbeN-speed-*`, sub-node `mgbeN_status=*`) —
  owned by `/jetson-customize-uphy` in its single atomic ODMDATA
  commit. This skill MUST NOT touch `ODMDATA=`.

Output is **one commit** to the composite custom overlay `.dts` in the
`bsp_sources/` hardware repo. `/jetson-build-source` compiles the
composite to `.dtbo` and owns its Makefile + flash-conf registration.

## When to invoke

- The user says "enable 25G", "configure QSFP", "set MGBE PHY mode",
  "wire MGBE to QSFP", or asks to bring up a 10G / 1G fiber path.
- Cold boot succeeds but `ip link show mgbe<N>` reports `state DOWN`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/jetson-customize-mgbe@sha256:745ab5cab97e54fa

The line at the top of this page pins the label v0.0.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2ze5q2iqsx4ujehi.svg)](https://markdownregistry.com/a/art_2ze5q2iqsx4ujehi)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 22, 2026.

versioncommittedcommitsizeaudit
v0.0.1 latest2026-06-22 87053a0 8,276 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8276 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2ze5q2iqsx4ujehi
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-customize-mgbe
GET https://markdownregistry.com/api/v1/blob/745ab5cab97e54fab80e20ef46f1987b00c472645065209628b5992979ebc71e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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