Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add EliasOulkadi/shokunin --skill kubernetesgit clone --depth 1 https://github.com/EliasOulkadi/shokuninWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/eliasoulkadi/shokunin/kubernetes)<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/kubernetes"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/kubernetes/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/eliasoulkadi/shokunin/kubernetes"><img src="https://agentmods.dev/badge/skills/eliasoulkadi/shokunin/kubernetes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 MCP Rug Pull · line 207 Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.Fix: Pin the image: image:tag or image@sha256:abc123
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00144 | $0.03349 |
| Opus 5.5 | $0.00058 | $0.01340 |
| Sonnet 5.5 | $0.00029 | $0.00670 |
| Haiku 4.5 | $0.00014 | $0.00335 |
Grade A, and why
kubernetes 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Architect
Production-grade Kubernetes: deployments, Gateway API, zero-trust networking, service mesh, eBPF observability, and debugging. Follows NSA/CISA hardening guidelines.
Decision Framework
Before deploying to Kubernetes, answer:
- Does the app need horizontal scaling (3+ replicas)? → Kubernetes
- Is it a single-instance app with simple needs? → Docker Compose or VPS
- Is the team already familiar with Kubernetes? → Proceed. If not, consider managed (EKS, GKE, AKS)
- Does the app need advanced networking (service mesh, ingress routing)? → Kubernetes + Gateway API
- Is the infrastructure budget tight? → Single-node k3s or Docker Compose for dev
- Multiple services with different scaling profiles? → Kubernetes (HPA per service)
Workflow
Step 1: Determine deployment type
| Type | Kind | Use case |
|---|---|---|
| Stateless | Deployment | Web APIs, workers |
| Stateful | StatefulSet | Databases, queues (use with caution) |
| Batch | Job/CronJob | Migrations, periodic tasks |
| Daemon | DaemonSet | Logging, monitoring agents |
If uncertain, start with a Deployment. See assets/deployment-template.yaml for the full production template.
Step 2: Generate manifest
Use the scaffold script:
scripts/generate-manifest.sh -n api -i myregistry.com/api:1.0.0 -p 3000 -r 3 -o manifests/
This creates: deployment.yaml, service.yaml, hpa.yaml, pdb.yaml with all security contexts, probes, resource requests/limits, and topology spread constraints pre-configured.
If the service expects HTTP traffic, also create a Gateway API HTTPRoute.
Template alternatives: Helm and Kustomize
The scaffold script above generates raw manifests. For more complex deployments, consider:
| Tool | Best for | Pattern |
|---|---|---|
Helm (helm create) |
Packaging reusable apps, versioned releases, templating | values.yaml → Go templates → rendered manifests. Use helm lint and helm template for validation. |
Kustomize (kubectl kustomize) |
Environment-specific overlays, patching base manifests | base/ + overlays/{dev,staging,prod}/ with strategic merge patches. Native in kubectl. |
| Raw manifests | Simple services, fast iteration, no templating overhead | Plain YAML in manifests/. Use with the scaffold script. |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 350 lines · 144 tokens per session scan A 3db23e684a29
kubernetes is a skill published in the GitHub repository EliasOulkadi/shokunin (112 stars, last pushed 22d ago), licensed MIT. It adds 144 tokens to every session and 3,349 once invoked, about $0.0006 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.
Other skills, from other repositories
n8n-self-hosting
Deploy a production self-hosted n8n end-to-end to a fresh Linux VM over SSH, using Docker Compose behind a Caddy reverse proxy with automatic HTTPS. Use whenever the user wants to self-host, install, set up, provision, or deploy n8n on their own server/VPS/box (Hetzner, DigitalOcean, AWS EC2, bare metal, etc.) — in…
model-deployment
Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms. Use when the user requests model deployment or provides relevant inputs for this workflow.
helm
Package Kubernetes applications as Helm charts, configure values and dependencies, and inspect release upgrades or rollbacks.
ksail
Use the ksail CLI to spin up and manage Kubernetes clusters (Kind/K3d/Talos/vCluster/KWOK — local via Docker; EKS — cloud via AWS) and GitOps workloads declaratively. Triggers on requests involving Kubernetes clusters, Flux/ArgoCD GitOps bootstrapping, Kind/K3d/Talos/vCluster/KWOK/EKS, multi-tenancy onboarding, OIDC…
mainframe-k3s
Plan, install, troubleshoot, secure, upgrade, or recover K3s clusters, including topology, networking, storage, and datastore backups. Not application-only changes or other Kubernetes distributions.
code-engine-deploy
IBM Code Engine deployment skill. Use when deploying, managing, or troubleshooting IBM Code Engine applications, jobs, secrets, config maps, domain mappings, container builds, or ICR images. Use for: deploy to code engine, code engine app, code engine job, build container image, push image, ICR registry, MCP tools…