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 roedyrustam/vibes-plug --skill kubernetes-gitops-platform-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote 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/roedyrustam/vibes-plug/kubernetes-gitops-platform-expert)<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.
<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>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 | $0.00075 | $0.02025 |
| Opus 5.5 | $0.00030 | $0.00810 |
| Sonnet 5.5 | $0.00015 | $0.00405 |
| Haiku 4.5 | $0.00007 | $0.00202 |
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.
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, andcapabilities.drop: ["ALL"]. - Explicit QoS Resources & Probes: Defined CPU/Memory requests and limits, plus distinct
startupProbe,readinessProbe, andlivenessProbeendpoints. - Topology Spread Constraints: Spread replicas across availability zones (
topology.kubernetes.io/zone) with aPodDisruptionBudget.
# 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]))
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.
- today First seen · 194 lines · 75 tokens per session scan A 47aecba5118c
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.
Other skills, from other repositories
gear
Managing dependencies, CI/CD, advanced GitHub Actions workflows, containers, secrets, and operational config. Use for build, workflow, or environment work.
dep
Handles containerization, CI/CD pipelines, and deployment setup.
devops
World-class DevOps engineering - cloud architecture, CI/CD pipelines, infrastructure as code, and the battle scars from keeping production running at 3amUse when "devops, infrastructure, deployment, ci/cd, docker, kubernetes, aws, gcp, azure, terraform, cloudflare, vercel, monitoring, alerting, pipeline, container…
turborepo
Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines…
deployment-patterns
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
ci-cd-and-automation
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.