Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/glincker/claude-code-marketplacenpx agentmods add skills/glincker/claude-code-marketplace/k8s-generatorWrote 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/glincker/claude-code-marketplace/k8s-generator)<a href="https://agentmods.dev/skills/glincker/claude-code-marketplace/k8s-generator"><img src="https://agentmods.dev/badge/skills/glincker/claude-code-marketplace/k8s-generator/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/glincker/claude-code-marketplace/k8s-generator"><img src="https://agentmods.dev/badge/skills/glincker/claude-code-marketplace/k8s-generator.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 | $0.00022 | $0.01491 |
| Opus 5 | $0.00011 | $0.00745 |
| Sonnet 5 | $0.00004 | $0.00298 |
| Haiku 4.5 | $0.00002 | $0.00149 |
Grade A, and why
k8s-generator 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 9d 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Generator
Generate complete Kubernetes manifests by analyzing your application. Creates Deployments, Services, ConfigMaps, Secrets, Ingress, and HPA with production best practices.
What This Skill Does
- Auto-generates K8s manifests from project analysis
- Creates proper resource limits and requests
- Implements health checks (liveness/readiness probes)
- Generates ConfigMaps and Secrets management
- Includes Horizontal Pod Autoscaler (HPA)
- Follows 12-factor app principles
Instructions
Phase 1: Application Analysis
Analyze the application to determine requirements:
# Detect application type
Use Glob/Grep to find:
- Dockerfile → Container config
- .env → Environment variables
- Port bindings
- Volume requirements
Phase 2: Generate Core Manifests
Deployment:
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
labels:
app: myapp
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: myapp
image: myapp:latest
ports:
- containerPort: 3000
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "200m"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 5
envFrom:
- configMapRef:
name: myapp-config
- secretRef:
name: myapp-secrets
Service:
apiVersion: v1
kind: Service
metadata:
name: myapp
spec:
selector:
app: myapp
ports:
- protocol: TCP
port: 80
targetPort: 3000
type: ClusterIP
ConfigMap:
apiVersion: v1
kind: ConfigMap
metadata:
name: myapp-config
data:
NODE_ENV: production
LOG_LEVEL: info
API_URL: https://api.example.com
What ships with it
1 file 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.
- 9d ago First seen · 286 lines · 22 tokens per session scan A 9f164b7a1cea
k8s-generator is a skill published in the GitHub repository glincker/claude-code-marketplace (36 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 1,491 once invoked, about $0.0001 per session on Opus 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.
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