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 porcupine-md/jonggrang --skill kubernetes-deploymentgit clone --depth 1 https://github.com/porcupine-md/jonggrangWrote 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/porcupine-md/jonggrang/kubernetes-deployment)<a href="https://agentmods.dev/skills/porcupine-md/jonggrang/kubernetes-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/kubernetes-deployment/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/porcupine-md/jonggrang/kubernetes-deployment"><img src="https://agentmods.dev/badge/skills/porcupine-md/jonggrang/kubernetes-deployment.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 | $0.00693 |
| Opus 5 | $0.00011 | $0.00347 |
| Sonnet 5 | $0.00004 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade C, and why
kubernetes-deployment scanned grade C 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 10d 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
1. Ensure the `KUBECONFIG` environment variable is set to a valid configuration file, or the configuration is located in `~/.kube/config`. How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Deploying {{project_name}} ({{project_type}}) to Kubernetes. You will follow a strict 6-phase Deployment Lifecycle Contract.
Instructions
Execute the following phases in order:
Phase 1: Authentication
- Ensure the
KUBECONFIGenvironment variable is set to a valid configuration file, or the configuration is located in~/.kube/config. - Authenticate to the cluster (if using cloud providers like AWS EKS or GCP GKE, use their respective commands:
aws eks update-kubeconfigorgcloud container clusters get-credentials). - Verify access by running
kubectl cluster-infoandkubectl get nodes.
Phase 2: Build
- Prepare the artifacts for deployment.
- Build your Docker image:
docker build -t <registry>/<image-name>:<tag> . - Push the image to your container registry (DockerHub, GHCR, ECR, GCR):
docker push <registry>/<image-name>:<tag>
Phase 3: Install / Provisioning
- Ensure the target Kubernetes namespace exists:
kubectl create namespace <namespace>(if it doesn't exist). - Create or update necessary ConfigMaps and Secrets:
kubectl apply -f k8s/configmap.yamlor usekubectl create secret generic. - If using Helm, ensure the Helm chart dependencies are updated:
helm dependency update <chart-dir>.
Phase 4: Deploy
- Ship the artifact to Kubernetes.
- Using raw manifests: Update the image tag in your Deployment YAML, then run
kubectl apply -f k8s/. - Using Kustomize:
kustomize build k8s/ | kubectl apply -f -. - Using Helm:
helm upgrade --install <release-name> <chart-dir> --namespace <namespace> --set image.tag=<tag>.
Phase 5: Checking
- Verify the deployment was successful.
- Check the rollout status:
kubectl rollout status deployment/<deployment-name> -n <namespace>. This command will block until the deployment is successful or fails. - Check pod status if there are issues:
kubectl get pods -n <namespace>. - Inspect pod logs if they are crashing:
kubectl logs -l app=<app-label> -n <namespace>. - Curl the service or ingress URL if available externally.
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.
- 10d ago First seen · 57 lines · 22 tokens per session scan C 9a447c5b1855
kubernetes-deployment is a skill published in the GitHub repository porcupine-md/jonggrang (11 stars, last pushed 2d ago), licensed MIT. It adds 22 tokens to every session and 693 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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