jetson-derive-carrier SKILL.md skillA
jetson-derive-carrier 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-derive-carrier@v0.0.1Pins 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-derive-carrier/SKILL.md- Versions recorded
- 1
- Latest version
- v0.0.1, committed Jun 22, 2026
- Size
- 16,969 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit. Use after jetson-init-source; not for module-level or kernel-DTB changes.
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
# jetson-derive-carrier Customize first-run gate for any `customize-*` skill on a custom carrier. Resolve the active target per [`target-platform-contract.md`](../../context/target-platform-contract.md). **Refuse** if no `custom_carrier:` block, or if `<source.root_path>/Linux_for_Tegra/.git` is missing (`jetson-init-source` first). Template file create/copy rows land in a single overlay-tracker commit and copy **directly** to the custom-carrier-renamed target path — reference-named pristine files are never staged (see [Fork plan](#fork-plan) for the local rule, which overrides the standard pristine + customization split from the [workflow](../../context/bsp-customization-workflow.md#commit-batching-in-the-overlay-tracker)); conf-chain discovery follows [per-board conf dispatch](../../context/bsp-customization-software-layers.md#per-board-conf-dispatch--update_flash_args_common). Kernel base DTB is **not** forked — carrier deltas layer as a DT overlay wired via `OVERLAY_DTB_FILE`. **Identifiers** (from active profile): `<chip>` from `reference_devkit.module.id` via [catalogue](../../references/bsp-platforms-catalogue.md) (unknown → …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/jetson-derive-carrier@sha256:770df96468b5475fThe 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.
[](https://markdownregistry.com/a/art_m3laoz44zcrmm4tv)
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 (16969 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_m3laoz44zcrmm4tv GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/jetson-derive-carrier GET https://markdownregistry.com/api/v1/blob/770df96468b5475fdfbdba5685de51a2e230641b54e9af6e8800cca5815e5733
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.