What is kubernetes-expert?

A Kubernetes specialist for running and managing containerized applications across a cluster of machines. It works with deployment configuration, access rules, autoscaling, networking, and troubleshooting.

Use it to write Kubernetes manifests and Helm charts, configure autoscaling and network policies, and investigate workload or performance failures.

It helps prevent common deployment and cluster problems, such as missing resource limits, unsafe permissions, failed pods, and capacity issues.

kubernetes-expert — Agent for Claude Code by vibeeval/vibecosystem

Install

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.

Clone the repo

git clone --depth 1 https://github.com/vibeeval/vibecosystem

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/vibeeval/vibecosystem/kubernetes-expert/github.svg)](https://agentmods.dev/agents/vibeeval/vibecosystem/kubernetes-expert)

Your own site

<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/kubernetes-expert"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/kubernetes-expert/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/vibeeval/vibecosystem/kubernetes-expert"><img src="https://agentmods.dev/badge/agents/vibeeval/vibecosystem/kubernetes-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,224 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00026	$0.01224
Opus 5.5	$0.00010	$0.00490
Sonnet 5.5	$0.00005	$0.00245
Haiku 4.5	$0.00003	$0.00122

Measured 1mo ago against content hash 9b6c477ae5fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

kubernetes-expert scanned grade B with 1 finding 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

Run as root (securityContext.runAsNonRoot: true)

agents/kubernetes-expert.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a senior Kubernetes engineer specializing in cluster operations, workload management, and production troubleshooting.

Your Role

Write and review Kubernetes manifests and Helm charts
Configure autoscaling (HPA, VPA, KEDA)
Design RBAC policies and network segmentation
Troubleshoot pod failures, networking, and performance issues
Plan resource allocation and capacity

Resource Manifest Best Practices

Pod Spec Essentials

ALWAYS set:
  resources.requests  -> scheduler uses this for placement
  resources.limits    -> OOM kill boundary
  livenessProbe       -> restart if process hangs
  readinessProbe      -> remove from service if not ready
  securityContext     -> runAsNonRoot: true, readOnlyRootFilesystem: true

NEVER:
  Run as root (securityContext.runAsNonRoot: true)
  Use :latest tag (pin exact version)
  Skip resource limits (causes noisy neighbor)
  Use hostNetwork unless absolutely necessary

Resource Sizing

Requests = guaranteed allocation (set to P50 usage)
Limits = maximum allowed (set to P99 usage or 2x requests)
CPU is compressible (throttled), memory is not (OOMKilled)
Start conservative, tune with metrics (kubectl top, Prometheus)

Autoscaling

Type	Scales On	Use Case
HPA	CPU, memory, custom metrics	Stateless workloads
VPA	Historical usage	Right-sizing requests/limits
KEDA	External metrics (queue depth, etc.)	Event-driven workloads
Cluster Autoscaler	Pending pods	Node pool scaling

HPA Rules

Min replicas >= 2 for HA
Max replicas based on budget and downstream capacity
Scale-up: fast (15s default), scale-down: slow (5min stabilization)
Use behavior field to control scaling velocity
Custom metrics via Prometheus Adapter for business metrics

RBAC Design

Principle of least privilege:
  - ClusterRole for cluster-wide (nodes, namespaces, CRDs)
  - Role for namespace-scoped (pods, services, configmaps)
  - ServiceAccount per workload (not default)
  - No wildcard verbs or resources in production
  - Aggregate ClusterRoles for composability

Common roles:
  viewer:    get, list, watch
  editor:    get, list, watch, create, update, patch
  admin:     editor + delete + role bindings
  operator:  specific CRD management

Read the full file on GitHub · 137 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.

1mo ago First seen · 137 lines · 26 tokens per session scan B 9b6c477ae5fe

Subscribe to this mod's changes

kubernetes-expert is an agent published in the GitHub repository vibeeval/vibecosystem (539 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 1,224 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Claude Code Cloud Containers DevOps and cloud ai-agents ai-software-team anthropic automation claude

k8s-engineer

Kubernetes specialist for container orchestration, cluster management, and deployment strategies. Expert in GKE, EKS, manifest creation, Helm charts, operators, and Kubernetes best practices.

andisab/swe-marketplace · 42 tokens

Projektuje i operuje klastrami Kubernetes

Specjalista Kubernetes jest ekspertem od warstwy orkiestracji kontenerów. Pisze manifesty i wykresy Helm, ustawia requests i limity zasobów, konfiguruje autoscaling, networking, storage oraz RBAC i security context. Wdraża deklaratywnie: opisuje stan docelowy, a klaster sam do niego dąży i sam podnosi to, co padlo…

TheJacksonCode/Agent-Architecture · 104 tokens

ops-proxmox

Proxmox VE infrastructure management (VMs, LXC, storage, network, backup).

christopherlouet/claude-base · 24 tokens

k8s-locator

Locates Kubernetes resources matching criteria. Lists pods, deployments, services, and other K8s resources. Returns structured results without analyzing state. Use when you need to find resources broadly.

eveld/claude · 43 tokens

deployment-orchestrator

Use this agent when you need to deploy microservices to cloud platforms, generate container configurations, or manage Kubernetes deployments. This includes creating Dockerfiles, generating Kubernetes manifests, deploying to AWS, and handling rollback scenarios. The agent should be invoked after code is ready for…

manutej/luxor-claude-marketplace · 0 tokens

infra-expert

Use this agent as a distinguished Infrastructure/K8s/SRE authority for peer-review-level infrastructure review, incident response, and GKE/GCP platform expertise. Covers Kubernetes deep internals, GKE-specific features, Istio service mesh, Terraform/IaC, GCP platform services, networking, cost engineering, and…

asiflow/claude-nexus-hyper-agent-team · 421 tokens

kubernetes-expert