jetson-customize-uphy SKILL.md skillA
jetson-customize-uphy from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/jetson-customize-uphy@v0.0.2Pins v0.0.2 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-uphy/SKILL.md- Versions recorded
- 1
- Latest version
- v0.0.2, committed Jun 22, 2026
- Size
- 9,488 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only 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 UPHY lane allocation ## Purpose Select a UPHY lane allocation on a Jetson custom carrier and edit the carrier flash-conf fork's `ODMDATA="..."` to apply the chosen `uphyX-config-N` token(s) (plus the `UPHY_CONFIG=""` clear required for `uphy0-config-6`). Kernel-DT alignment per controller is **not** done here — after the ODMDATA commit lands, this skill dispatches to the per-controller skills (`/jetson-customize-pcie`, `/jetson-customize-mgbe`, `/jetson-customize-usb`), each of which must compare the chosen allocation against the **reference kernel DTB** node-by-node and emit an overlay fragment only when the K-stock value disagrees with the chosen allocation. Discovery is agentic: options, lanes, and controllers come from the Adaptation Guide, carrier schematic, and Module / SoC TRM at run time — never hard-coded. Every user-visible step renders its data as a markdown table, and the final summary includes a changes-summary table. ## Prerequisites - Active target-platform profile with `reference_devkit:` and `custom_carrier:`. - `<source.root_path>/Linux_for_Tegra/.git` initialized (`/jetson-init-source`). …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/jetson-customize-uphy@sha256:c45e3101ce2df737The line at the top of this page pins the label v0.0.2, 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.
[](https://markdownregistry.com/a/art_6up2cs4n6wjfeggh)
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.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9488 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
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6up2cs4n6wjfeggh GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-customize-uphy GET https://markdownregistry.com/api/v1/blob/c45e3101ce2df737a1fd618f12929bc1393711c6b3ffcf5d243d80a787390648
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.