Ama Logs Update Charts Release Notes
microsoft/Docker-Provider
Prepare an ama-logs release PR: bump the image tag (X.Y.Z) across Helm charts, manifests, and Dockerfiles, and add a formatted ReleaseNotes.md entry.
A skill your agent uses when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which…
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-drift --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .claude/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.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/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .claude/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-driftType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-drift --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .agents/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .agents/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-drift --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .cursor/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .cursor/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/aicr.git --path .agents/skills/aicr-reviewing-component-drift--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-drift --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .gemini/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .gemini/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-driftInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .github/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .github/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/aicr aicr-reviewing-component-drift --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/aicr.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/aicr-reviewing-component-drift .opencode/skills/aicr-reviewing-component-drift && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "aicr-reviewing-component-drift" agent skill from https://github.com/NVIDIA/aicr/tree/main/.agents/skills/aicr-reviewing-component-drift into .opencode/skills/aicr-reviewing-component-drift/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aicr-reviewing-component-drift", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
aicr-reviewing-component-driftA skill your agent uses when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which…
Aicr Reviewing Component Drift is an agent skill from NVIDIA/aicr, published by the product's own GitHub organization. Use when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which recipes/registry.yaml chart pins have moved upstream. Triggers on "review this week's drift", "component drift", "/aicr-reviewing-component-drift", "should we bump <component", "what changed in <chart", a pasted drift digest from Slack, or release prep that needs to know which chart pins are safe to advance. Gathers values-path…
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `drift-state.yaml`).
It sits in DevOps & Cloud, covering Container orchestration and Changelog and release notes. It works with Slack, Kubernetes and NVIDIA AI Platform. The repository describes itself as: Tooling for optimized, validated, and reproducible GPU-accelerated AI runtime in Kubernetes. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e8f18da. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
ghmakeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aicr Reviewing Component Drift loads about 2.8k tokens when it runs. Until then it costs about 203 tokens; SKILL.md has 1,412 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from NVIDIA/aicr at commit e8f18da, republished under its Apache-2.0 licence (© NVIDIA). 1,412 words, ~2,817 tokens.
.claude/skills/aicr-reviewing-component-drift/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Turns a weekly drift report into a decision. The workflow (https://github.com/NVIDIA/aicr/actions/workflows/registry-drift.yaml) answers "what moved"; this skill answers "what should we take, and what does taking it cost". An AICR component bump is never a version-string edit, which is exactly why the workflow does not open PRs.
Do NOT use this skill to perform a bump. It produces a recommendation; the edit,
the make bom-docs run, and the PR are separate, human-initiated work.
Read drift-state.yaml beside this file before anything else. It records what
was reviewed at which candidate set and why anything was held, so a component
whose candidates have not changed since last week is confirmed, not re-derived.
Update it in Step 5.
Reuse a verdict only after comparing the whole candidate set — current,
latest, and every entry in alternatives[] — against what the entry records.
A verdict keyed on the version pair alone goes stale silently, because a new
candidate can appear while current and latest both stay put: kai-scheduler
sat at v0.16.9 -> v0.20.1 across two runs while a patch v0.16.10 arrived
beside it, and v0.16.10 is the one worth taking. If any candidate was added,
removed, or changed, re-derive.
An entry with no recorded candidates predates that field. Treat it as changed
and re-derive it; do not read the absence as "nothing new".
In order of preference:
An explicit run, downloaded into a scratch directory rather than the
working tree (gh run download extracts in place; without --dir the two
report files land as untracked files in this checkout and collide with
themselves on a second run):
dir=$(mktemp -d "${TMPDIR:-/tmp}/aicr-drift.XXXXXX")
gh run download <id> -R NVIDIA/aicr -n drift-report --dir "$dir"Read drift-report.json and drift-report-raw.json from "$dir".
The latest run:
gh run list -R NVIDIA/aicr --workflow=registry-drift.yaml --status=success --event schedule --limit 1 --json databaseId
then the same scratch-directory download as above (mktemp -d + gh run download <id> -R NVIDIA/aicr -n drift-report --dir "$dir").
The default is deliberately the weekly scheduled run on the default
branch — registry-drift.yaml also runs on workflow_dispatch and, for a
same-repo PR touching the drift surface, on pull_request; every
successful path uploads the same drift-report artifact name, so an
unfiltered "latest successful run" could just as easily be a PR-validation
run and put the review against unmerged changes. --event schedule
excludes both. Reviewing a manual or PR-validation report is still
supported — pass --run <id> explicitly (option 1) rather than relying on
the default.
A local drift-report.json path the user provides
A pasted Slack digest — it carries counts and a report artifact link, no
component names, so take the run ID out of that link and download the
artifact per option 1. If the artifact has expired, re-derive the drift
set from recipes/registry.yaml and the upstream registry (helm show chart for HTTP repos, crane ls for oci://). That re-derivation is
unfiltered: it does not apply Renovate's minimumReleaseAge (3 days,
.github/renovate.json5) or internalChecksFilter: "strict", so it can
surface a release younger than the cooldown or one Renovate's strict
filter would reject. Use it only to identify which components to look at —
never to justify a bump on its own; the artifact remains the authoritative
source for whether a version is actually eligible.
Confirm schemaVersion is 1. A higher number means this skill is stale —
read tools/drift-report/report.go before trusting the field names.
Report unresolved[] to the user before reviewing anything: those pins are
unknown, not current, and a persistent entry is a broken datasource worth
fixing ahead of any bump.
Read alternatives[] on every row that has one. latest is the largest
step Renovate offers, not the only one and not necessarily the one to take. A
row carrying alternatives has a smaller step available — usually the one worth
recommending, since it crosses fewer upstream changes. Name both in the verdict
and say which you are recommending; a verdict that discusses only latest when
the row offered a minor beside a major has reviewed the wrong upgrade (#2791).
The field is absent when Renovate offered exactly one candidate, which is the
common case. It is additive, so schemaVersion stays 1.
Ordered by how often each is what actually bites.
Values-path compatibility. Pull both chart versions and diff their values, then verify every path AICR depends on still exists:
recipes/components/<name>/values.yamlvalues: blocks in recipes/overlays/*.yaml and recipes/mixins/*.yaml
that target the componentnodeScheduling.nodeSelectorPaths and tolerationPaths
in recipes/registry.yamlThe third is the silent one: a renamed master.nodeSelector leaves AICR
rendering valid YAML that no longer schedules anything correctly, and no
current test catches it. Treat a missing path as a blocking finding.
Lockstep families. These move together; never recommend a partial bump:
slinky-slurm-operator-crds, slinky-slurm-operator, slinky-slurmmariadb-operator-crds, mariadb-operator, slurm-accounting-mariadbagentgateway-crds, agentgatewayprometheus-operator-crds, kube-prometheus-stack, keyed on
appVersion, not chart version (the two chart sequences are unrelated).
A lagging CRDs pin also breaks nvsentinel and
k8s-ephemeral-storage-metrics, which create resources defined by those CRDs.
TestPrometheusOperatorAppVersionLockstep enforces this.prometheus-adapter / prometheus-adapter-ocp,
nvidia-dra-driver-gpu / nvidia-dra-driver-gpu-ocp, and
k8s-nim-operator / k8s-nim-operator-ocp — these three -ocp twins
carry a defaultRepository identical to their base, so BuildReport
already collapses each pair into one report row; name both in the
verdict anyway. The other four -ocp components (gpu-operator-ocp,
network-operator-ocp, nfd-ocp, cert-manager-ocp) have
defaultRepository: "" and are manifest-only — BuildReport drops them
before Tracked++, so they never appear in the report at all (they
surface in untrackedComponents instead). Do not assume a base
component's row already accounts for one of these four; there is no
shared row to collapse into.Image and BOM delta. Render old against new and diff the image list.
make bom-docs is the repo's renderer; a new image means new vulnerability
surface, and a new registry host means tools/registry-inventory's allowlist
needs extending too.
CRD and upgrade-record impact. For CRD-bearing charts (kueue,
gatekeeper, mariadb, slinky, prometheus-operator-crds, nvsentinel), check
whether the transition needs an ADR-021 record: see pkg/upgrade and
tools/check-upgrade-records.
Upstream breaking changes. Where the chart maps to a GitHub project,
read the releases between the two versions
(gh release list -R <owner>/<repo>), looking for removed flags, renamed
values, and required migration steps.
Kubernetes compatibility and blast radius. Compare the new chart's
kubeVersion against the K8s.server.version constraints of the overlays
that pull the component, and check whether
recipes/checks/<name>/health-check.yaml exists and whether its assertions
still hold against the new chart's resource names.
Write Markdown to a temp file ("$TMPDIR"/aicr-drift-review-<date>.md) and
summarize it in chat. Rank components by (blocking findings, then update type,
then age of the pin). Per component:
alternatives, name which version the verdict is about — a bare "take" is
ambiguous once more than one is on offerDo not edit the registry, file issues, or open PRs. Ask before doing anything outward-facing.
Record every component reviewed: the version pair, the full candidate set the verdict was formed against, which candidate the verdict recommends, the date, and for a hold or defer the condition that would change it. Next week's digest repeats the same components by design — this file is what keeps the review from repeating with it.
candidates is what Step 1 compares against, so record it verbatim from the
report rather than summarizing: an entry that omits a candidate makes next
week's run confirm a verdict that never considered it. recommends is only
meaningful when the row had alternatives; omit it otherwise, since the single
candidate is already named by to.
crane ls on ghcr.io works in the sandbox; NGC (nvcr.io, and
helm.ngc.nvidia.com over curl) and some TLS paths need
dangerouslyDisableSandbox: true. Try sandboxed first.recipes/overlays/aks.yaml pins kube-prometheus-stack to 83.7.0
deliberately (#700, declared in versionPinExemptions in
pkg/recipe/version_pin_guard_test.go). A kube-prometheus-stack bump has to
reckon with that exemption; do not propose removing it casually.aws-efa's chart is tracked but its device-plugin image is in Renovate's
ignoreDeps and must be coordinated with EKS add-on releases.© 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
SKILL.md and 1 other file in .agents/skills/aicr-reviewing-component-drift of NVIDIA/aicr.
Open the folder on GitHubat commit e8f18da
Aicr Reviewing Component Drift 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Aicr Reviewing Component Drift this skillNVIDIA/aicr | 440 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Ama Logs Update Charts Release Notesmicrosoft/Docker-Provider | 174 | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Release Cut And Demo Rollcarverauto/serviceradar | 921 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Release And CIeser/stack | 128 | — | ~665 | Automated safety check: Pass | Custom licence | |
| Nim Operator InstallNVIDIA/k8s-nim-operator | 159 | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Nim Operator UninstallNVIDIA/k8s-nim-operator | 159 | — | ~3.6k | Automated safety check: Pass | Apache-2.0 |
microsoft/Docker-Provider
Prepare an ama-logs release PR: bump the image tag (X.Y.Z) across Helm charts, manifests, and Dockerfiles, and add a formatted ReleaseNotes.md entry.
carverauto/serviceradar
Cut a ServiceRadar release and roll the Kubernetes demo namespace to the resulting published semver image tag through the guarded ArgoCD release branch.
eser/stack
Releases and CI for eserstack: the shared version of all packages, the release command, the tag-driven build.yml run, JSR and npm publishing, changelog and breaking changes, release recovery, GitHub…
NVIDIA/k8s-nim-operator
Install NVIDIA NIM Operator on Kubernetes with prerequisite checks, optional NVIDIA GPU Operator dependency installation, public or local Helm chart selection, optional Dynamo support, and optional…
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…
NVIDIA/dcgm-exporter
A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.
NVIDIA/aicr
Multi-agent PR review using Claude Code, Codex, and CodeRabbit.
NVIDIA/aicr
A skill your agent uses when analyzing an AICR snapshot YAML file, reviewing cluster state, comparing provider characteristics, extracting GPU/network topology insights, or generating a cluster…
NVIDIA/aicr
Scaffolds an interactive guided demo script (demos/.sh), live or self-paced, with the Frame → Tell → Show → Close pattern.
NVIDIA/aicr
A skill your agent uses when building a self-contained HTML slide deck or visual talking-point for a technical concept or workflow (e.g.
NVIDIA/aicr
A skill your agent uses when drafting the human-readable GitHub release notes summary for an upcoming AICR release.
NVIDIA/aicr
A skill your agent uses when reporting on UAT health across services and GPU targets — which service (EKS/GKE/AKS) x GPU (H100/GB200) x intent combinations are passing or failing in the UAT Run…
Works with
Categories
A skill your agent uses when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which…. Aicr Reviewing Component Drift is an agent skill from NVIDIA/aicr, published by the product's own GitHub organization.yaml chart pins have moved upstream.
Aicr Reviewing Component Drift fits situations like: review this weeks drift; component drift; /aicr-reviewing-component-drift; should we bump <component.
Run `npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a claude-code`. Or copy the skill folder (.agents/skills/aicr-reviewing-component-drift in NVIDIA/aicr) into .claude/skills/aicr-reviewing-component-drift in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a codex`. Or copy the skill folder (.agents/skills/aicr-reviewing-component-drift in NVIDIA/aicr) into .agents/skills/aicr-reviewing-component-drift in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/aicr --skill aicr-reviewing-component-drift -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aicr-reviewing-component-drift, .gemini/skills/aicr-reviewing-component-drift, .github/skills/aicr-reviewing-component-drift and .opencode/skills/aicr-reviewing-component-drift in your project.
Going by SKILL.md and its folder, Aicr Reviewing Component Drift needs the command-line tools its instructions call (gh and make).
SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. Review the folder before installing.
Aicr Reviewing Component Drift 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.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Aicr Reviewing Component Drift: Ama Logs Update Charts Release Notes (microsoft/Docker-Provider, 174 stars), Release Cut And Demo Roll (carverauto/serviceradar, 921 stars), Release And CI (eser/stack, 128 stars) and Nim Operator Install (NVIDIA/k8s-nim-operator, 159 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/aicr, which has 440 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.
Source: NVIDIA/aicr on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.