nvca-self-managed-install

nvca-self-managed-install is a skill for Claude Code, Codex from NVIDIA/nvcf. It costs 55 tokens per session (847 once invoked), scanned A, original, Apache-2.0.

A deployment guide for installing and validating the NVCA Operator Helm chart against a self-managed NVCF control plane. Helm charts are packages that describe how Kubernetes applications are installed.

In plain words
What is it for?
Use it to render values from the stack, inspect generated settings, install or upgrade the operator, apply one-off overrides, and preserve cluster or account identity.
Why use it?
It keeps chart testing separate from the full stack configuration and derives image and account settings from the self-managed control-plane setup.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is stack_repo=../../../deploy/stacks/self-managed.

Good fit Use it to render values from the stack, inspect generated settings, install or upgrade the operator, apply one-off overrides, and preserve cluster or account identity.

Compare 6 skills from other repositories ↓
About the project

NVIDIA Cloud Functions is a platform for deploying, managing, and running GPU-based workloads such as inference, streaming, and batch processing, while routing requests to GPU worker clusters. Its monorepo contains the service code, deployment materials, documentation, examples, command-line tools, agent skills, and validation tools used to build and operate the platform.

NVIDIA/nvcf · 244 stars · on GitHub · docs.nvidia.com

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/NVIDIA/nvcf
agentmods
npx agentmods add skills/nvidia/nvcf/nvca-self-managed-install

Made for: Claude Code, Codex.

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README.md
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Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/nvcf/nvca-self-managed-install"><img src="https://agentmods.dev/badge/skills/nvidia/nvcf/nvca-self-managed-install.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 847 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 69
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00847
Opus 5.5 $0.00022 $0.00339
Sonnet 5.5 $0.00011 $0.00169
Haiku 4.5 $0.00006 $0.00085

Measured 6d ago against content hash 7b909be28e88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nvca-self-managed-install scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

ai-tooling/dev/skills/nvca-self-managed-install/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NVCA Self-Managed Install

Use deploy/helm/nvca-operator as the install surface for NVCA Operator chart validation. Do not add NVCA back into the stack Helmfile just to test this chart.

Source of Truth

  • Control-plane deployment: deploy/stacks/self-managed
  • NVCA chart and install workflow: deploy/helm/nvca-operator
  • NVCA source images and source chart: src/compute-plane-services/nvca
  • Cluster prerequisites: use the public nvcf-self-managed-prerequisite skill
  • Full stack install and teardown: use the public nvcf-self-managed-installation skill

Instructions

Run from deploy/helm/nvca-operator:

make render-values-from-stack \
  stack_env=local \
  stack_repo=../../../deploy/stacks/self-managed

Inspect the generated file under bin/, then install or upgrade. The render also sets the values the control-plane validator role needs from the stack: clusterValidator.gatewayNames from the wired ingress.gatewayApi.gateways, clusterValidator.storageClass from global.storageClass, and clusterValidator.externalComponents from the quorum components the stack disables. It rewrites them on every render, empty included, so an upgrade does not keep a stale value from the release. On a registry other than NGC (nvcr.io or a subdomain) it also sets clusterValidator.nodeToNodeProbeImage to busybox:1.36 under the stack's repository, so mirror that image there. It keeps a probe image the release already sets, and sets none when networkChecks.enforcement.testImage is set:

make install-from-stack \
  stack_env=local \
  stack_repo=../../../deploy/stacks/self-managed

Optional Inputs

  • additional_values=override.yml for one-off overrides
  • NCA_ID=<value> to set the primary account ID explicitly
  • CLUSTER_NAME=<value> and CLUSTER_ID=<value> to preserve or pin cluster identity
  • IMAGE_PULL_SECRET_NAME=<secret> to attach a pre-created image pull secret
  • NODE_TO_NODE_PROBE_IMAGE=<image> to pick the node-to-node probe image; it must be pullable without an image pull secret

Read the full file on GitHub · 84 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago Changed 7b909be28e88
  2. 13d ago Changed · +12 lines b476fa2e5917
  3. 1mo ago First seen · 72 lines · 55 tokens per session scan A 9d9d56afc42c

Subscribe to this mod's changes

nvca-self-managed-install is a skill published in the GitHub repository NVIDIA/nvcf (244 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 847 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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