Official agent skill

Jetson Customize Clocks

by NVIDIA in NVIDIA/skills

A skill your agent uses to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash.

OfficialApache-2.0Auto-check: notesAI & LLM Engineering

Install Jetson Customize Clocks

skills CLI
$ npx skills add NVIDIA/skills --skill jetson-customize-clocks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills jetson-customize-clocks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/jetson-customize-clocks .claude/skills/jetson-customize-clocks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
jetson-customize-clocks
GitHub stars
3.5k
Token cost
~4.8k tokens
SKILL.md length
2,140 words
Files
9 (incl. references)
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash.

  • Works in 5 steps: Resolve the prerequisites above (active… → Pick the operation from the table below. → Follow the linked procedure section —… → …
  • Lock/cap Jetson CPU/GPU/EMC clocks
  • SKILL.md covers Purpose, Prerequisites, Instructions and Operation 1 — BPMP DTB edits, plus 5 more sections
  • Calls apt

What it does

Jetson Customize Clocks is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `BENCHMARK.md`, `evals/evals.json` and `references/bpmp-dtb-clock-edits.md`).

It sits in AI & LLM Engineering, covering GPU and accelerator computing. It works with NVIDIA AI Platform and Linux. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

  • Lock/cap Jetson CPU/GPU/EMC clocks
  • Toggle EMC/CPU DVFS
  • Change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash

Example prompts

  • “/jetson-customize-clocks”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Resolve the prerequisites above (active profile, BSP image extracted, source overlay tracker initialized).
  2. Pick the operation from the table below.
  3. Follow the linked procedure section — Operation 1 (BPMP DTB), Operation 2 (nvpower.sh), or the MAXN recipe for both.
  4. Commit the edit inside the overlay tracker per each Operation's commit convention.
  5. Deploy with /jetson-promote-image → /jetson-flash-image. The new BPMP DTB and nvpower.sh take effect on the next boot.

What it can do on your machine

Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • apt

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Jetson Customize Clocks loads about 4.8k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 2,140 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:230
    byte-identical); uses `sudo cp -p` for `rootfs/*` destinations.
  • NoteRuns commands with sudoSKILL.md:235
    `sudo systemctl restart nvpower.service` (or reboot).

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 2,140 words, ~4,758 tokens.

Download SKILL.mdSave it as .claude/skills/jetson-customize-clocks/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
jetson-customize-clocks
description
Use to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.
version
0.0.1
license
Apache-2.0
metadata.data-classification
public
metadata.author
Jetson Team
metadata.tags
clocks, cpu, gpu, emc, dvfs, bwmgr, bpmp, nvpower, cpufreq, devfreq
metadata.domain
clocks

Customize Clocks

Purpose

Customize CPU, GPU, and EMC clock behavior on a Jetson target by editing files under Linux_for_Tegra/ before flashing the image. Two layers are in scope:

  • The BPMP DTB at Linux_for_Tegra/bootloader/<BPFDTB_FILE> — per-clock max-rate-custom ceilings, plus the EMC DVFS gate (bwmgr + cactmon on all SoCs; osp-controller on T26x only).
  • nvpower.sh at Linux_for_Tegra/rootfs/etc/systemd/nvpower.sh — cpufreq / devfreq governors and (optionally) per-device min / max / static rates written to sysfs at boot.

Common triggers: "lock CPU/GPU/EMC frequency", "pin GPU to Fmax", "pin EMC to MAXN", "disable/enable EMC DVFS", "disable/enable CPU DVFS", "set CPU/GPU max rate", "change cpufreq governor".

Out of scope: runtime clock tuning on a live target (no flash step), nvpmodel power-mode edits (use the sibling skill /jetson-customize-nvpmodel), and silicon-ceiling overrides (max-rate-maxn is read-only).

Prerequisites

Resolve the active profile per ../../context/target-platform-contract.md. Refuse and route in these cases:

ConditionRefuse with
No active profile, or active: NARoute to /jetson-set-target or /jetson-init-target.
Profile lacks bsp_image: blockRoute to /jetson-init-image.
<bsp_image.root_path>/Linux_for_Tegra/ missingRoute to /jetson-init-image.
<source.root_path>/Linux_for_Tegra/ missing or not a git repoRoute to /jetson-init-source.

Resolve paths:

  • <bsp_image.root_path> from bsp_image.root_path: if present, else <workspace>/Image.
  • <source.root_path> from source.root_path: if present, else <workspace>/Source.

<bsp_image.root_path> is read-only for this skill; every write (Operation 1's BPMP DTB and Operation 2's nvpower.sh) lands under <source.root_path> (the overlay tracker). This is the workflow invariant in ../../context/bsp-customization-workflow.md#workflow-invariants — hand-editing upstream silently destroys the diff trail and makes /jetson-promote-image a noop.

Instructions

  1. Resolve the prerequisites above (active profile, BSP image extracted, source overlay tracker initialized).
  2. Pick the operation from the table below.
  3. Follow the linked procedure section — Operation 1 (BPMP DTB), Operation 2 (nvpower.sh), or the MAXN recipe for both.
  4. Commit the edit inside the overlay tracker per each Operation's commit convention.
  5. Deploy with /jetson-promote-image → /jetson-flash-image. The new BPMP DTB and nvpower.sh take effect on the next boot.
Supported operations
OperationWhere the edit livesProcedure section
Lock a CPU / GPU clock to a specific rateBPMP DTB max-rate-custom on the clock node + nvpower.sh governor performance"Content edit: max-rate-custom" + "Pick the edit"
Lock EMC at its init rate (disable EMC DVFS)BPMP DTB: bwmgr.enabled = 0, cactmon.enabled = 0, plus /delete-node/ osp-controller on T26x only"Content edit: EMC DVFS disable / enable"
Re-enable EMC DVFSBPMP DTB: bwmgr.enabled = 1, cactmon.enabled = 1, restore osp-controller on T26x"Content edit: EMC DVFS disable / enable"
Pin everything to MAXN for stress runsCombine the above + nvpmodel MAXN as boot defaultsee Recipe
Lower a clock's hard ceiling without lockingBPMP DTB max-rate-custom only"Content edit: max-rate-custom"
Bound a device's rate without pinningnvpower.sh min/max via sysfs"Pick the edit"

Operation 1 — BPMP DTB edits

Follow the BPMP-DTB customization protocol in ../../references/bsp-customization-bpmp-dtb.md. The protocol owns the mechanics — pristine import on first touch, dtc decompile, recompile, sanity-check, commit. This skill supplies only the clock-specific content (which nodes and properties to edit during the protocol's "Edit the DTS" step).

The edited .dtb lands in the <source.root_path>/Linux_for_Tegra/ overlay tracker. /jetson-promote-image's channel A walks the tracker and copies the file into bsp_image. Do not edit <bsp_image.root_path>/Linux_for_Tegra/bootloader/<bpmp-dtb> directly — that's the promote output, not an input.

Resolve the SKU-correct BPMP DTB

Per the protocol's "Resolving the active BPMP DTB" section, read BPFDTB_FILE from the active flash conf. For the common Thor / single-SKU conf shapes this is the static BPFDTB_FILE=... line in the per-board .conf and the value is authoritative as-is.

For SKU-multiplexed conf shapes (Orin AGX devkit conf chain that selects a different BPMP DTB per board_sku/board_FAB via update_flash_args_common — see ../../context/bsp-customization-software-layers.md#per-board-conf-dispatch--update_flash_args_common), walk the dispatch chain with board_sku=<module.sku> and board_FAB=<module.revision or empty> from the active profile, and read BPFDTB_FILE from the dispatch output — not from the static line of the per-board .conf. Static and dispatched values match for non-multiplexed confs; the dispatch is mandatory only when the conf chain conditionally overrides BPFDTB_FILE.

List effective max rates (inspection)

Inspect both layers of the runtime ceiling — see references/clock-control-model.md#effective-runtime-ceiling — before deciding on a max-rate-custom value.

Inspection cookbook (BPMP-side decompile + grep; nvpmodel-side awk over the boot default mode) is in references/bpmp-dtb-clock-edits.md#inspection-cookbook.

For the nvpmodel layer see /jetson-customize-nvpmodel.

This step does not mutate state — it's a precondition for sizing the edit in the "Content edit: max-rate-custom on a named clock node" step.

Content edit: max-rate-custom on a named clock node

During the "Edit the DTS" step of the protocol, modify the property inside the named clock node — never lateinit. max-rate-custom must be strictly below the clock's hard cap (max-rate-maxn if defined, otherwise the live max_rate from a running target of the same chip / SKU).

DTS edit form, semantics, and the nvpmodel ↔ BPMP clock-node mapping live in references/bpmp-dtb-clock-edits.md.

Then hand control back to the protocol — its "Recompile", "Sanity-check the recompiled blob", "Stage in the overlay tracker", and "Cleanup" steps cover the rest. Commit-message convention per the protocol: <BPMP_BASENAME>: jetson-customize-clocks — <clock-node> max-rate-custom = <value>.

Content edit: EMC DVFS disable / enable

Default behavior (EMC DVFS on) requires no edit. Disabling EMC DVFS is a multi-node edit applied inside the same "Edit the DTS" step of the protocol, not a bwmgr toggle:

#EditScope
1bwmgr.enabled = <0x00>All SoCs, mandatory
2cactmon.enabled = <0x00>All SoCs, mandatory
3/delete-node/ osp-controllerT26x (Thor) mandatory — T23x (Orin) has no such node, skip

Detection: dtc -I dtb -O dts <bpmp-dtb> | grep -c osp-controller — zero hits ⇒ T23x path. Full DTS snippets, the surviving-paths failure modes, and the re-enable procedure are in references/emc-dvfs-disable.md.

Apply the protocol's "Recompile" through "Cleanup" steps once the multi-node edit is in place. Commit-message convention: <BPMP_BASENAME>: jetson-customize-clocks — EMC DVFS disable (bwmgr + cactmon[+ osp-controller]).

Disabling raises idle power; intended for stress / performance tests, not production rootfs.

Re-run + idempotency

Per the protocol's "Re-runnability" section, re-running this skill with the same target value produces a no-op commit. Re- running with a different value rewrites the same property — git log -- $BPMP_REL shows the per-run history. To return a clock to its max-rate-maxn ceiling, edit the DTS to remove the max-rate-custom line and recompile.

Operation 2 — nvpower.sh edits

Edits nvpower.sh, which runs at boot via nvpower.service to set cpufreq / devfreq governors and rates.

The per-script file

The script this Operation edits has the relative path:

Linux_for_Tegra/rootfs/etc/systemd/nvpower.sh

It lives in two roots; the Operation walks both:

RoleLocationSkill writes?
Detection + pristine source<bsp_image.root_path>/Linux_for_Tegra/rootfs/etc/systemd/no — read-only
Overlay edit target + git commit<source.root_path>/Linux_for_Tegra/rootfs/etc/systemd/yes

Subsequent sub-steps refer to the per-script file to mean the overlay copy under <source.root_path>. The <bsp_image.root_path> copy is read once during the pristine-import step below, then never touched again.

Overlay edit recipe (apply before editing nvpower.sh)

Follow the canonical Off-skill edits recipe in the workflow doc — pristine import + customization commit pair, both gated by the preview gate. nvpower.sh is a single file with no propagation set; one pristine commit + one customization commit covers the entire change.

Concrete substitutions for this skill:

  • <rel>/<file> is rootfs/etc/systemd/nvpower.sh.
  • Suggested pristine-import message: import pristine: rootfs/etc/systemd/nvpower.sh, body Source: <bsp_image.root_path>/Linux_for_Tegra/ (BSP <bsp_image.version>).
  • Suggested customization-commit header: jetson-customize-clocks: nvpower.sh <summary>, body lines like set_cpufreq_governor: desired_cpufreq_gov "schedutil" -> "performance".
Pick the edit

Function locations (set_cpufreq_governor, set_devfreq_governor), common-edit recipes (pin to Fmax, static rate, min/max bounds), and the nvidia-l4t-init package-upgrade caveat live in references/nvpower-sh-edits.md.

Deploy

The customization commit in the overlay tracker does not reach the device on its own. The Deploy chain:

  1. /jetson-promote-image — copies every tracked file in the overlay into <bsp_image.root_path>/Linux_for_Tegra/. Diff-aware (skip byte-identical); uses sudo cp -p for rootfs/* destinations.
  2. /jetson-flash-image — flashes the updated bsp_image to the device. nvpower.service runs the new script on the next boot.
  3. (Alternate, no flash) Copy <source.root_path>/Linux_for_Tegra/rootfs/etc/systemd/nvpower.sh directly to the running target's /etc/systemd/nvpower.sh, then sudo systemctl restart nvpower.service (or reboot).

Editing <source.root_path>/... without committing — or editing <bsp_image.root_path>/... directly — does nothing for /jetson-promote-image and is silently lost on the next /jetson-init-image re-extract.

Show full SKILL.md (890 more words)Show less

Recipe — pin everything to MAXN for stress / performance runs

Combines Operations 1 + 2. Operation 1's BPMP edits all flow through one round of the protocol (a single decompile / multi-node edit / recompile / commit cycle — don't round-trip the protocol twice for the same .dtb):

  1. BPMP DTB (the "Content edit: max-rate-custom on a named clock node" step content): leave max-rate-custom unset on every CPU / GPU / EMC clock; remove existing max-rate-custom lines that lower the ceiling.
  2. BPMP DTB (the "Content edit: EMC DVFS disable / enable" step content): pin EMC at its init rate — bwmgr.enabled = 0, cactmon.enabled = 0, plus /delete-node/ osp-controller on T26x (skip on T23x).
  3. Apply both content edits inside one protocol "Edit the DTS" invocation, then run the remaining protocol steps (recompile, sanity-check, single customization commit covering both content edits).
  4. nvpower.sh (Operation 2): set desired_cpufreq_gov="performance" and desired_devfreq_gov="performance" unconditionally; remove the GPU/nvjpg skip in set_devfreq_governor. Applies via Operation 2's overlay edit recipe (the "Overlay edit recipe (apply before editing nvpower.sh)" step) — a separate overlay-tracker pristine + customization commit pair on the rootfs script, distinct from the BPMP-DTB protocol's commit.
  5. Set the boot-default nvpmodel mode to MAXN via /jetson-customize-nvpmodel — the per-clock nvpmodel cap clamps below max-rate-maxn regardless of BPMP DTB content.

Deploy /jetson-promote-image → /jetson-flash-image picks up the new BPMP DTB (via the overlay tracker) and the edited nvpower.sh (via the same overlay tracker) on the next flash.

Limitations

  • Image-build-time only. All edits land under <source.root_path>/Linux_for_Tegra/ and reach the device only via /jetson-promote-image → /jetson-flash-image. Live-target tuning is out of scope.
  • max-rate-custom only lowers the ceiling. It must be strictly below max-rate-maxn; raising the silicon cap is not supported.
  • Effective ceiling is two-layer. The runtime ceiling is min(BPMP cap, active-nvpmodel-mode cap). The nvpmodel cap is owned by /jetson-customize-nvpmodel; this skill does not edit it.
  • SoC-conditional EMC DVFS gate. Disabling EMC DVFS requires editing different node sets on T23x (bwmgr + cactmon) vs T26x (bwmgr + cactmon + delete osp-controller). Mis-detection produces undefined behavior.
  • T23x GPU cap is multi-node. The GPU clock is split across nafll_gpusys and every nafll_gpcX; the cap binds only when applied to all of them.
  • nvpower.sh is package-managed. It ships in nvidia-l4t-init; package upgrades clobber in-place edits. Long-lived setups should prefer a systemd drop-in or sibling helper.
  • ODMDATA wins. When an ODMDATA token covers a property, the token overrides direct BPMP DTS edits at flash time. Direct BPMP DTS edits are the fallback for properties no NVIDIA token reaches.
  • max-rate-maxn and lateinit are off-limits. max-rate-maxn is the silicon ceiling (read-only). lateinit is for boot-time clock init, not ceiling overrides — never touch either.
  • BPMP DTB may be SKU-multiplexed. On compound / dispatched flash confs (Orin AGX devkit chain), BPFDTB_FILE is selected by board_sku / board_FAB via update_flash_args_common. Reading the static BPFDTB_FILE= line is wrong when the chain conditionally overrides it; resolve via the dispatch instead.

Troubleshooting

ErrorCauseSolution
max-rate-custom set but clock still ramps to max-rate-maxn on T23x GPUOnly nafll_gpusys was capped; the nafll_gpcX partitions still run at max-rate-maxn and dominate the effective ceiling.Apply the same max-rate-custom to nafll_gpusys and every nafll_gpcX node enumerated by grep -nE '^\s*nafll_gpc[0-9]+\s*:' <decompiled.dts>.
EMC DVFS disable appears to apply but EMC still scales on T26xOnly bwmgr.enabled = <0x00> was set; osp-controller survives and re-issues frequency changes via the QoS path.Add edits #2 (cactmon.enabled = <0x00>) and #3 (/delete-node/ osp-controller) inside the same "Edit the DTS" step. Verify osp-controller via dtc -I dtb -O dts <bpmp-dtb> | grep -c osp-controller → expect 0.
EMC DVFS disable rejected on T23x with "node not found" for osp-controllerT23x (Orin) BPMP DTBs do not contain osp-controller; edit #3 must be skipped on T23x.Detect SoC family with the grep -c osp-controller step; only apply #3 when the count is ≥1.
BPMP refuses to load DTB after edit: max-rate-custom >= max-rate-maxnmax-rate-custom was set to or above the silicon ceiling.Lower max-rate-custom strictly below max-rate-maxn. If max-rate-maxn is absent from the node, query the live cap on a running target: cat /sys/kernel/debug/bpmp/debug/clk/<clock>/max_rate.
osp-controller re-appears after status = "disabled"status = "disabled" does not remove the node from the device tree; BPMP still walks it.Replace with /delete-node/ osp-controller; — the node must not exist for BPMP to skip the path.
Edits to nvpower.sh lost after apt upgradenvpower.sh is owned by the nvidia-l4t-init deb and gets overwritten on upgrade.For long-lived test setups, package edits into a systemd drop-in or a sibling helper file referenced by nvpower.sh, rather than editing nvpower.sh in place.
/jetson-promote-image is a no-op after editing the BPMP DTBThe edit was applied to <bsp_image.root_path>/Linux_for_Tegra/, which is /jetson-promote-image's output — not its input.Move the edit to <source.root_path>/Linux_for_Tegra/bootloader/<BPFDTB_FILE> (the overlay tracker) and commit through the BPMP-DTB protocol.
Cap appears to apply on first boot then resets after a power-mode changeThe active nvpmodel mode's per-clock cap clamps below max-rate-custom.Inspect both layers; if nvpmodel is binding, raise (or remove) the nvpmodel cap via /jetson-customize-nvpmodel. The BPMP cap alone is not the runtime ceiling.

References

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (references) in skills/jetson-customize-clocks of NVIDIA/skills.

  • SKILL.md
  • BENCHMARK.md
  • evals/evals.json
  • references/bpmp-dtb-clock-edits.md
  • references/clock-control-model.md
  • references/emc-dvfs-disable.md
  • references/nvpower-sh-edits.md
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 67a13c0

Compare with similar skills

Jetson Customize Clocks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS911—~2.8kAutomated safety check: PassNone
TensorRT-LLM InferenceOrchestra-Research/AI-Research-SKILLs13k5 repos~1.3kAutomated safety check: PassMIT
Cv DeployLMIXR/CV_Deployment_skill146—~547Automated safety check: PassNone
Megatron-Core LLM TrainingOrchestra-Research/AI-Research-SKILLs13k3 repos~2.4kAutomated safety check: PassMIT

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Questions about Jetson Customize Clocks

What does Jetson Customize Clocks do?

A skill your agent uses to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Jetson Customize Clocks is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.sh pre-flash.

When should I use Jetson Customize Clocks?

Jetson Customize Clocks fits situations like: lock/cap Jetson CPU/GPU/EMC clocks; toggle EMC/CPU DVFS; change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash.

How do I install Jetson Customize Clocks in Claude Code?

Run `npx skills add NVIDIA/skills --skill jetson-customize-clocks -a claude-code`. Or copy the skill folder (skills/jetson-customize-clocks in NVIDIA/skills) into .claude/skills/jetson-customize-clocks in your project. Claude Code loads it when a task matches its description.

How do I install Jetson Customize Clocks in Codex?

Run `npx skills add NVIDIA/skills --skill jetson-customize-clocks -a codex`. Or copy the skill folder (skills/jetson-customize-clocks in NVIDIA/skills) into .agents/skills/jetson-customize-clocks in your project. Codex loads it when a task matches its description.

Can I use Jetson Customize Clocks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill jetson-customize-clocks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jetson-customize-clocks, .gemini/skills/jetson-customize-clocks, .github/skills/jetson-customize-clocks and .opencode/skills/jetson-customize-clocks in your project.

What does Jetson Customize Clocks need to run?

Going by SKILL.md and its folder, Jetson Customize Clocks needs the command-line tools its instructions call (apt).

Does Jetson Customize Clocks access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jetson Customize Clocks safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Jetson Customize Clocks use?

Jetson Customize Clocks is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jetson Customize Clocks use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Jetson Customize Clocks?

Skills that share tags, products or a category with Jetson Customize Clocks: Graphsignal (graphsignal/graphsignal, 257 stars), LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 911 stars), TensorRT-LLM Inference (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Cv Deploy (LMIXR/CV_Deployment_skill, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jetson Customize Clocks?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.