Official agent skill

Nim Operator Uninstall

by NVIDIA in NVIDIA/k8s-nim-operator

Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and…

OfficialApache-2.0Auto-check passedDevOps & Cloud

Install Nim Operator Uninstall

skills CLI
$ npx skills add NVIDIA/k8s-nim-operator --skill nim-operator-uninstall -a claude-code

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

GitHub CLI
$ gh skill install NVIDIA/k8s-nim-operator nim-operator-uninstall --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/k8s-nim-operator.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/nim-operator-uninstall .claude/skills/nim-operator-uninstall && 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
nim-operator-uninstall
GitHub stars
159
Token cost
~3.6k tokens
SKILL.md length
1,218 words
Files
4 (incl. scripts, references)
Skills in repo
2
Repo updated
First seen
Licence
Apache-2.0

At a glance

Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and…

  • Works in 4 steps: Which release and namespace should be… → Should existing NIM and NeMo custom… → Should NIM Operator CRDs be deleted… → …
  • A customer wants to remove
  • SKILL.md covers Workspace Root, Safety Contract, Defaults and References, plus 11 more sections
  • Runs Shell scripts from its folder; calls kubectl, helm and ssh

What it does

Nim Operator Uninstall is an agent skill from NVIDIA/k8s-nim-operator, published by the product's own GitHub organization. Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and post-uninstall validation. Use when a customer wants to remove or clean up the NIM Operator itself, not the GPU Operator or unrelated cluster dependencies.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/validation.md` and `scripts/validate-nim-operator-uninstall.sh`).

It sits in DevOps & Cloud, covering Container orchestration. It works with NVIDIA AI Platform and Kubernetes. The repository describes itself as: An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment. The licence is Apache-2.0.

When your agent uses it

  • A customer wants to remove
  • Clean up the NIM Operator itself
  • Not the GPU Operator
  • Unrelated cluster dependencies

Example prompts

  • “/nim-operator-uninstall”

Requirements

  • A Bash shell

Workflow steps

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

  1. Which release and namespace should be uninstalled?
  2. Should existing NIM and NeMo custom resources be deleted before the Helm release is uninstalled, or preserved? Custom resources must be…
  3. Should NIM Operator CRDs be deleted after the Helm release is uninstalled, or preserved?
  4. Should the namespace be deleted after cleanup, or preserved?

What it can do on your machine

Read from SKILL.md and the folder at commit 315bf38. 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

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • kubectl
    • helm
    • ssh

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

  • Network

    No URLs in SKILL.md. Its commands use kubectl, helm and ssh, which can reach the network depending on how they are called.

    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

Nim Operator Uninstall loads about 3.6k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 1,218 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from NVIDIA/k8s-nim-operator at commit 315bf38, republished under its Apache-2.0 licence (© NVIDIA). 1,218 words, ~3,607 tokens.

Download SKILL.mdSave it as .claude/skills/nim-operator-uninstall/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
nim-operator-uninstall
description
Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and post-uninstall validation. Use when a customer wants to remove or clean up the NIM Operator itself, not the GPU Operator or unrelated cluster dependencies.

NVIDIA NIM Operator Uninstall

Use this skill to remove the NVIDIA NIM Operator Helm release from a Kubernetes cluster. This skill is intentionally separate from install because uninstall is destructive and needs stronger confirmation.

By default, uninstall only removes the NIM Operator Helm release. Do not delete NIM custom resources, CRDs, namespaces, persistent volumes, secrets, GPU Operator, cert-manager, KServe, or Dynamo dependencies unless the user explicitly approves that specific action.

Workspace Root

Assume commands run from the root of the k8s-nim-operator repository unless the user gives another working directory. Before using repo-relative paths such as .agents/skills/..., verify the current directory:

sh
pwd
test -f .agents/skills/nim-operator-uninstall/SKILL.md

If this check fails, ask for the correct repository root or cd to it before continuing.

Safety Contract

Run read-only inventory before proposing any destructive command. Before running each destructive step, print the exact command, summarize what will be removed, and ask for confirmation.

Read-only examples: kubectl get, kubectl describe, helm list, helm status, helm get values.

Destructive examples: helm uninstall, kubectl delete, namespace deletion, CRD deletion.

Defaults

  • NIM Operator release: nim-operator
  • NIM Operator namespace: nim-operator
  • Keep CRDs by default
  • Keep custom resources by default
  • Keep namespace by default
  • Keep GPU Operator by default
  • Keep cert-manager and KServe by default

References

  • For validation levels, inventory checks, and evidence format, read references/validation.md.
  • For a read-only validation helper from the repository root, run .agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh.

How To Ask For This Skill

End users do not need to know the internal file layout. They should ask the agent for the cleanup outcome they want. Recognize and support these prompt patterns:

Inventory only:

text
Use the NIM Operator uninstall skill to inventory the current installation. Do not delete anything.

Safe default uninstall:

text
Use the NIM Operator uninstall skill to uninstall the NIM Operator Helm release. Preserve CRDs, custom resources, namespace, GPU Operator, cert-manager, and KServe unless I explicitly approve deleting them.

Uninstall a specific release or namespace:

text
Use the NIM Operator uninstall skill to remove release <release> from namespace <namespace>. Inventory resources first and ask before uninstalling.

Full API cleanup:

text
Use the NIM Operator uninstall skill to remove the Helm release and then ask me whether to delete NIM Operator CRDs. Show existing custom resources before deleting any CRDs.

Validate after uninstall:

text
Use the NIM Operator uninstall skill to validate that the operator release and controller pods are gone. Tell me which CRDs and custom resources remain.

Remote cluster through SSH:

text
Use the NIM Operator uninstall skill against my remote Kubernetes host <user>@<host>. Run commands over SSH, show every command before running it, and do not delete anything until I approve.

Manual CLI Usage

This section is for humans, CI jobs, and reviewers who want to run the same workflow without an agent. Run local commands from the repository root and ensure kubectl points at the target cluster before running helm uninstall.

Inventory only:

sh
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh

Inventory with overrides:

sh
NIM_OPERATOR_RELEASE=nim-operator \
NIM_OPERATOR_NAMESPACE=nim-operator \
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh

Safe default uninstall. This removes only the Helm release and preserves CRDs, custom resources, namespace, GPU Operator, cert-manager, KServe, and Dynamo dependencies:

sh
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh
helm uninstall nim-operator -n nim-operator
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh
helm list -n nim-operator
kubectl get pods -n nim-operator

Remote SSH usage if the skill folder has been copied to the remote host:

sh
ssh <user>@<host> '~/.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh'
ssh <user>@<host> 'helm uninstall nim-operator -n nim-operator'
ssh <user>@<host> '~/.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh'
ssh <user>@<host> 'helm list -n nim-operator'
ssh <user>@<host> 'kubectl get pods -n nim-operator'

Initial Questions

Ask only for missing choices that materially affect removal:

  1. Which release and namespace should be uninstalled?
  2. Should existing NIM and NeMo custom resources be deleted before the Helm release is uninstalled, or preserved? Custom resources must be deleted while the operator is still running (see "Optional Custom Resource Cleanup").
  3. Should NIM Operator CRDs be deleted after the Helm release is uninstalled, or preserved?
  4. Should the namespace be deleted after cleanup, or preserved?

If the user wants a quick default uninstall, uninstall only the nim-operator Helm release from namespace nim-operator and preserve CRDs, custom resources, namespace, GPU Operator, cert-manager, and KServe.

Inventory Checks

Start inventory by calling the bundled validation helper:

sh
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh

This is the canonical pre-uninstall call site for the skill. It checks client tools, cluster access, the Helm release, operator namespace resources, NIM Operator CRDs, and any NIM/NeMo custom resources.

If the helper is unavailable or a narrower manual check is needed, run these read-only checks before proposing uninstall commands:

sh
kubectl config current-context
kubectl cluster-info
helm list -A | grep nim-operator
helm status nim-operator -n nim-operator
helm get values nim-operator -n nim-operator
kubectl get pods -n nim-operator
kubectl get deployment -n nim-operator -l app.kubernetes.io/instance=nim-operator,app.kubernetes.io/name=k8s-nim-operator
kubectl get crd | grep -E 'apps.nvidia.com'

Inventory NIM and NeMo custom resources across all namespaces:

sh
kubectl get nimservices.apps.nvidia.com -A
kubectl get nimcaches.apps.nvidia.com -A
kubectl get nimpipelines.apps.nvidia.com -A
kubectl get nimbuilds.apps.nvidia.com -A
kubectl get nemodatastores.apps.nvidia.com -A
kubectl get nemoentitystores.apps.nvidia.com -A
kubectl get nemocustomizers.apps.nvidia.com -A
kubectl get nemoevaluators.apps.nvidia.com -A
kubectl get nemoguardrails.apps.nvidia.com -A

If any custom resources exist, warn that deleting CRDs will delete or orphan API access to those resources. Ask whether the user wants to delete custom resources first.

Optional Custom Resource Cleanup

Do this step BEFORE uninstalling the Helm release.

NIM and NeMo custom resources each carry an operator-managed finalizer (for example finalizer.nimcache.apps.nvidia.com, finalizer.nimservice.apps.nvidia.com). Only the running operator removes these finalizers during deletion. If the Helm release is uninstalled first, the controller is gone, so any later kubectl delete of a custom resource blocks forever: the object keeps its deletionTimestamp and its finalizer, which in turn blocks CRD deletion and wedges the namespace in Terminating. If you have already hit this, see "Recovery From Stuck Finalizers".

Only if the user explicitly approves deleting NIM and NeMo custom resources, show and run targeted deletes while the operator is still running. Prefer deleting specific resources the user selected. If the user approves deleting all NIM Operator custom resources, use:

sh
kubectl delete nimservices.apps.nvidia.com --all -A
kubectl delete nimcaches.apps.nvidia.com --all -A
kubectl delete nimpipelines.apps.nvidia.com --all -A
kubectl delete nimbuilds.apps.nvidia.com --all -A
kubectl delete nemodatastores.apps.nvidia.com --all -A
kubectl delete nemoentitystores.apps.nvidia.com --all -A
kubectl delete nemocustomizers.apps.nvidia.com --all -A
kubectl delete nemoevaluators.apps.nvidia.com --all -A
kubectl delete nemoguardrails.apps.nvidia.com --all -A

Warn that this may remove model-serving workloads, caches, jobs, and service state owned by those custom resources.

Verification gate: before moving on to the Helm uninstall, confirm every custom resource is actually gone (not just marked for deletion). Re-run the inventory and ensure each command returns no resources:

sh
kubectl get nimservices.apps.nvidia.com -A
kubectl get nimcaches.apps.nvidia.com -A
kubectl get nimpipelines.apps.nvidia.com -A
kubectl get nimbuilds.apps.nvidia.com -A
kubectl get nemodatastores.apps.nvidia.com -A
kubectl get nemoentitystores.apps.nvidia.com -A
kubectl get nemocustomizers.apps.nvidia.com -A
kubectl get nemoevaluators.apps.nvidia.com -A
kubectl get nemoguardrails.apps.nvidia.com -A

If any resource is still present with a deletionTimestamp and a lingering finalizer, do not proceed to helm uninstall. The operator must stay running to drain the finalizer; wait for it to clear before continuing, or see "Recovery From Stuck Finalizers".

Show full SKILL.md (438 more words)Show less

Uninstall Helm Release

Only after any approved custom resources have been fully deleted (the verification gate above returns nothing) should you uninstall the Helm release. Uninstalling while NIM or NeMo custom resources still exist removes the controller that clears their finalizers and will wedge those resources, their CRDs, and the namespace.

After user approval, uninstall only the Helm release:

sh
helm uninstall nim-operator -n nim-operator

Then call the bundled validation helper again to collect post-uninstall evidence:

sh
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh

Also verify the key release and controller resources directly:

sh
helm list -n nim-operator
kubectl get pods -n nim-operator
kubectl get deployment -n nim-operator -l app.kubernetes.io/instance=nim-operator,app.kubernetes.io/name=k8s-nim-operator

If Helm reports the release is not found, do not treat that as success automatically. Check whether operator resources still exist in the namespace.

Optional CRD Cleanup

Keep CRDs by default. Delete CRDs only if the user explicitly approves full API cleanup.

sh
kubectl delete crd \
  nimservices.apps.nvidia.com \
  nimcaches.apps.nvidia.com \
  nimpipelines.apps.nvidia.com \
  nimbuilds.apps.nvidia.com \
  nemodatastores.apps.nvidia.com \
  nemoentitystores.apps.nvidia.com \
  nemocustomizers.apps.nvidia.com \
  nemoevaluators.apps.nvidia.com \
  nemoguardrails.apps.nvidia.com

Before deleting CRDs, re-run custom resource inventory. If custom resources still exist, ask again before proceeding.

Optional Namespace Cleanup

Keep the namespace by default. Delete it only if the user explicitly approves and it contains no resources the user wants to preserve:

sh
kubectl get all -n nim-operator
kubectl delete namespace nim-operator

If the namespace hangs in Terminating with a condition that names finalizer.<kind>.apps.nvidia.com (for example NamespaceFinalizersRemaining), a custom resource was left with an undrained finalizer. See "Recovery From Stuck Finalizers".

Recovery From Stuck Finalizers

Use this if custom resources, CRDs, or a namespace are already stuck because the Helm release was uninstalled before the custom resources were deleted. With the controller gone, the operator-managed finalizers cannot be drained. Typical symptoms:

  • A custom resource has a deletionTimestamp but still lists finalizer.<kind>.apps.nvidia.com and never disappears.
  • kubectl delete crd <name>.apps.nvidia.com blocks because instances remain.
  • kubectl delete namespace <ns> hangs in Terminating with NamespaceFinalizersRemaining naming finalizer.<kind>.apps.nvidia.com.

Recommended recovery: reinstall the operator so it drains the pending finalizers, then redo cleanup in the correct order.

sh
# Reinstall the same release/version that was removed.
helm upgrade --install nim-operator <chart> -n nim-operator --create-namespace
# Wait for the controller pod to be Running.
kubectl get pods -n nim-operator
# The operator now reconciles the pending deletions; stuck custom resources clear in ~15s.
kubectl get nimcaches.apps.nvidia.com -A

Once the custom resources clear, follow the correct order: delete any remaining custom resources while the operator runs, run the verification gate, then helm uninstall, then CRDs, then the namespace.

Avoid manually stripping finalizers (for example kubectl patch <kind> <name> -n <ns> --type merge -p '{"metadata":{"finalizers":[]}}'). That forces deletion without running the operator's own cleanup and can orphan PVCs, Jobs, and other owned resources. Prefer the reinstall-and-drain approach above.

Do Not Remove These By Default

Do not uninstall these from this skill unless the user explicitly asks for a broader cluster cleanup workflow:

  • NVIDIA GPU Operator
  • cert-manager
  • KServe
  • Dynamo dependencies that may be shared
  • image pull secrets
  • NGC API secrets
  • persistent volumes or storage classes

Post-Uninstall Validation

Run the bundled validation helper:

sh
.agents/skills/nim-operator-uninstall/scripts/validate-nim-operator-uninstall.sh

If a manual spot-check is needed, run:

sh
helm list -n nim-operator
kubectl get pods -n nim-operator
kubectl get deployment -n nim-operator -l app.kubernetes.io/instance=nim-operator,app.kubernetes.io/name=k8s-nim-operator
kubectl get crd | grep -E 'apps.nvidia.com'

Report:

  • whether the Helm release is gone
  • whether operator pods/deployments are gone
  • whether CRDs were preserved or deleted
  • whether custom resources remain
  • what dependencies remain intentionally installed

© 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 3 other files (scripts, references) in .agents/skills/nim-operator-uninstall of NVIDIA/k8s-nim-operator.

  • SKILL.md
  • agents/openai.yaml
  • references/validation.md
  • scripts/validate-nim-operator-uninstall.sh

Open the folder on GitHubat commit 315bf38

Compare with similar skills

Nim Operator Uninstall 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.

Nim Operator Uninstall compared with similar skills
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Dstack Presetsdstackai/dstack2.3k—~403Automated safety check: PassMPL-2.0
Helm Dev EnvironmentNVIDIA/OpenShell16k—~4.9kAutomated safety check: PassApache-2.0
Aicr Analyzing SnapshotsNVIDIA/aicr440—~3.5kAutomated safety check: PassApache-2.0
Deploy Controllerai-runway/airunway102—~927Automated safety check: PassApache-2.0

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Categories

Questions about Nim Operator Uninstall

What does Nim Operator Uninstall do?

Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and…. Nim Operator Uninstall is an agent skill from NVIDIA/k8s-nim-operator, published by the product's own GitHub organization. Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and post-uninstall validation.

When should I use Nim Operator Uninstall?

Nim Operator Uninstall fits situations like: A customer wants to remove; clean up the NIM Operator itself; not the GPU Operator; unrelated cluster dependencies.

How do I install Nim Operator Uninstall in Claude Code?

Run `npx skills add NVIDIA/k8s-nim-operator --skill nim-operator-uninstall -a claude-code`. Or copy the skill folder (.agents/skills/nim-operator-uninstall in NVIDIA/k8s-nim-operator) into .claude/skills/nim-operator-uninstall in your project. Claude Code loads it when a task matches its description.

How do I install Nim Operator Uninstall in Codex?

Run `npx skills add NVIDIA/k8s-nim-operator --skill nim-operator-uninstall -a codex`. Or copy the skill folder (.agents/skills/nim-operator-uninstall in NVIDIA/k8s-nim-operator) into .agents/skills/nim-operator-uninstall in your project. Codex loads it when a task matches its description.

Can I use Nim Operator Uninstall 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/k8s-nim-operator --skill nim-operator-uninstall -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nim-operator-uninstall, .gemini/skills/nim-operator-uninstall, .github/skills/nim-operator-uninstall and .opencode/skills/nim-operator-uninstall in your project.

What does Nim Operator Uninstall need to run?

Going by SKILL.md and its folder, Nim Operator Uninstall needs a shell for the scripts in its folder and the command-line tools its instructions call (kubectl, helm and ssh). Our summary lists: A Bash shell.

Does Nim Operator Uninstall access the network?

SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Nim Operator Uninstall safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Nim Operator Uninstall use?

Nim Operator Uninstall is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Nim Operator Uninstall use?

About 3.6k tokens (SKILL.md is roughly 14k 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 656 tokens, read only when the agent opens those files.

What are the alternatives to Nim Operator Uninstall?

Skills that share tags, products or a category with Nim Operator Uninstall: Local GPU Kubernetes Validation (NVIDIA/dcgm-exporter, 1.9k stars), Dstack Presets (dstackai/dstack, 2.3k stars), Helm Dev Environment (NVIDIA/OpenShell, 16k stars) and Aicr Analyzing Snapshots (NVIDIA/aicr, 440 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nim Operator Uninstall?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/k8s-nim-operator, which has 159 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 5, 2026.

Source: NVIDIA/k8s-nim-operator on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.