kubernetes-gitops-platform-expert

kubernetes-gitops-platform-expert is a skill for Cursor from roedyrustam/vibes-plug. It costs 75 tokens per session (2,025 once invoked), scanned A, original, MIT.

A guide to operating Kubernetes platforms through GitOps, where the desired platform configuration is stored in Git and applied automatically. It covers ArgoCD, traffic routing, network rules, security standards, and event-based scaling.

In plain words
What is it for?
Use it to manage Kubernetes applications with ArgoCD or Flux, configure Gateway API routes, enforce Cilium network policies, apply pod security rules, and scale workers with KEDA.
Why use it?
It helps keep deployed Kubernetes resources aligned with reviewed configuration and reduces manual changes that cause drift. It also addresses routing, service protection, and workloads that need to scale with incoming events.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin.

Part of the vibes-plug plugin — 171 skills, 8 agents, 2 MCP servers shipped together

Good fit Use it to manage Kubernetes applications with ArgoCD or Flux, configure Gateway API routes, enforce Cilium network policies, apply pod security rules, and scale workers with KEDA.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert
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.

Any agent
npx skills add roedyrustam/vibes-plug --skill kubernetes-gitops-platform-expert
Clone the repo
git clone --depth 1 https://github.com/roedyrustam/vibes-plug

Made for: Cursor.

Or install vibes-plug, the plugin that ships this one along with the rest of its 171 skills, 8 agents, 2 MCP servers.

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.

agentmods badge for kubernetes-gitops-platform-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert/github.svg)](https://agentmods.dev/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert)
Your own site
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-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.

agentmods 80×15 button for kubernetes-gitops-platform-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,025 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.
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 $0.00075 $0.02025
Opus 5.5 $0.00030 $0.00810
Sonnet 5.5 $0.00015 $0.00405
Haiku 4.5 $0.00007 $0.00202

Measured today against content hash 47aecba5118c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kubernetes-gitops-platform-expert 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 today.

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.

skills/kubernetes-gitops-platform-expert/SKILL.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kubernetes & GitOps Platform Expert / Ahli Platform Kubernetes & GitOps


English

Overview

You are a Principal Cloud-Native Platform Engineer & SRE. You architect zero-drift, self-healing Kubernetes platforms using declarative GitOps (ArgoCD / Flux v2), Gateway API traffic routing, event-driven autoscaling (KEDA), and zero-trust Cilium eBPF L3-L7 network policies.

1. Cloud-Native Platform Stack Matrix (2026)

Layer Legacy Approach (Deprecated) 2026 Production Standard Architectural Advantage
Deployment Sync Imperative kubectl apply in CI ArgoCD ApplicationSets (Pull-based GitOps) Drift auto-remediation, cryptographic Git audit trail
Ingress / Routing ingress-nginx annotations Kubernetes Gateway API (HTTPRoute + Envoy/Cilium) Role-oriented split, native traffic splitting & canary weights
Networking & mTLS kube-proxy iptables + heavy sidecar mesh Cilium eBPF (Sidecarless Service Mesh) Kernel-level packet processing, DNS/L7 policy enforcement
Autoscaling CPU-only HorizontalPodAutoscaler KEDA (Queue / Prometheus / GPU metrics) Scale-to-zero workers and queue-depth awareness

2. Hardened Kubernetes Workload & KEDA Autoscaler

Every production Deployment MUST enforce:

  • Pod Security Standards (restricted): runAsNonRoot: true, readOnlyRootFilesystem: true, allowPrivilegeEscalation: false, and capabilities.drop: ["ALL"].
  • Explicit QoS Resources & Probes: Defined CPU/Memory requests and limits, plus distinct startupProbe, readinessProbe, and livenessProbe endpoints.
  • Topology Spread Constraints: Spread replicas across availability zones (topology.kubernetes.io/zone) with a PodDisruptionBudget.
# k8s/production/api-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: vibes-api
  namespace: production
  labels:
    app.kubernetes.io/name: vibes-api
    app.kubernetes.io/part-of: vibes-platform
spec:
  replicas: 3
  revisionHistoryLimit: 5
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
  selector:
    matchLabels:
      app.kubernetes.io/name: vibes-api
  template:
    metadata:
      labels:
        app.kubernetes.io/name: vibes-api
    spec:
      automountServiceAccountToken: false
      securityContext:
        runAsNonRoot: true
        runAsUser: 65532
        runAsGroup: 65532
        fsGroup: 65532
        seccompProfile:
          type: RuntimeDefault
      topologySpreadConstraints:
        - maxSkew: 1
          topologyKey: topology.kubernetes.io/zone
          whenUnsatisfiable: DoNotSchedule
          labelSelector:
            matchLabels:
              app.kubernetes.io/name: vibes-api
      containers:
        - name: api
          image: ghcr.io/org/vibes-api@sha256:9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08
          ports:
            - name: http
              containerPort: 8080
              protocol: TCP
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            capabilities:
              drop: ["ALL"]
          resources:
            requests:
              cpu: "250m"
              memory: "512Mi"
            limits:
              cpu: "1000m"
              memory: "512Mi"
          readinessProbe:
            httpGet:
              path: /health/ready
              port: http
            initialDelaySeconds: 3
            periodSeconds: 5
          livenessProbe:
            httpGet:
              path: /health/live
              port: http
            initialDelaySeconds: 10
            periodSeconds: 10
---
apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata:
  name: vibes-api-scaler
  namespace: production
spec:
  scaleTargetRef:
    name: vibes-api
  minReplicaCount: 3
  maxReplicaCount: 25
  cooldownPeriod: 120
  triggers:
    - type: prometheus
      metadata:
        serverAddress: http://prometheus-operated.monitoring.svc:9090
        metricName: http_requests_per_second
        threshold: "200"
        query: sum(rate(http_server_requests_seconds_count{service="vibes-api"}[1m]))

Read the full file on GitHub · 194 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. today First seen · 194 lines · 75 tokens per session scan A 47aecba5118c

Subscribe to this mod's changes

kubernetes-gitops-platform-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (113 stars, last pushed today), licensed MIT. It adds 75 tokens to every session and 2,025 once invoked, about $0.0003 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 2026-10-24.

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