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 rohitg00/kubectl-mcp-server --skill k8s-operationsgit clone --depth 1 https://github.com/rohitg00/kubectl-mcp-serverWrote 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/rohitg00/kubectl-mcp-server/k8s-operations)<a href="https://agentmods.dev/skills/rohitg00/kubectl-mcp-server/k8s-operations"><img src="https://agentmods.dev/badge/skills/rohitg00/kubectl-mcp-server/k8s-operations/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/rohitg00/kubectl-mcp-server/k8s-operations"><img src="https://agentmods.dev/badge/skills/rohitg00/kubectl-mcp-server/k8s-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01131 |
| Opus 5 | $0.00019 | $0.00566 |
| Sonnet 5 | $0.00008 | $0.00226 |
| Haiku 4.5 | $0.00004 | $0.00113 |
Grade A, and why
k8s-operations scanned grade A 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
command="sh -c 'curl -s localhost:8080/health'" How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kubectl Operations
Execute kubectl commands using kubectl-mcp-server's operations tools.
When to Apply
Use this skill when:
- User mentions: "apply", "patch", "delete", "exec", "scale", "rollout"
- Operations: modifying resources, running commands, scaling workloads
- Keywords: "update", "change", "modify", "run command", "restart"
Priority Rules
| Priority | Rule | Impact | Tools |
|---|---|---|---|
| 1 | Dry run before apply in production | CRITICAL | kubectl_apply(dry_run=True) |
| 2 | Check current state before patching | HIGH | describe_* tools |
| 3 | Avoid force delete unless necessary | HIGH | kubectl_delete |
| 4 | Verify rollout status after changes | MEDIUM | kubectl_rollout_status |
Quick Reference
| Task | Tool | Example |
|---|---|---|
| Apply manifest | kubectl_apply |
kubectl_apply(manifest=yaml) |
| Patch resource | kubectl_patch |
kubectl_patch(type, name, namespace, patch) |
| Delete resource | kubectl_delete |
kubectl_delete(type, name, namespace) |
| Exec command | kubectl_exec |
kubectl_exec(pod, namespace, command) |
| Scale deployment | scale_deployment |
scale_deployment(name, namespace, replicas) |
Apply Resources
kubectl_apply(manifest="""
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx
namespace: default
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:latest
""")
kubectl_apply(file_path="/path/to/manifest.yaml")
kubectl_apply(manifest="...", dry_run=True)
Patch Resources
kubectl_patch(
resource_type="deployment",
name="nginx",
namespace="default",
patch={"spec": {"replicas": 5}}
)
kubectl_patch(
resource_type="deployment",
name="nginx",
namespace="default",
patch=[{"op": "replace", "path": "/spec/replicas", "value": 5}],
patch_type="json"
)
kubectl_patch(
resource_type="service",
name="my-svc",
namespace="default",
patch={"metadata": {"annotations": {"key": "value"}}},
patch_type="merge"
)
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 · 202 lines · 39 tokens per session scan A 323961cb0403
k8s-operations is a skill published in the GitHub repository rohitg00/kubectl-mcp-server (956 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 1,131 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
kubernetes
Kubernetes operations playbook for deploying services: core objects, probes, resource sizing, safe rollouts, and fast kubectl debugging.
kubernetes-docs
Kubernetes 1.36 — Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, RBAC, CRDs, Operators, kubectl, Helm.
bazel-k8s-expert
Expert knowledge for deploying Quarkus/Java applications to Kubernetes using Bazel. Covers rulesk8s, Helm, Kustomize, ConfigMaps, Secrets, and health probes.
deployment
Kubernetes Deployment 管理.
qovery-deploy
Deploys any application, database, Helm chart, Terraform module, or managed infrastructure Blueprint (RDS, Redis, S3, and more) to Kubernetes via Qovery. Analyzes the user's codebase, creates missing Dockerfiles, provisions databases (container, managed, or blueprint) and cloud resources, sets up environment…
kubernetes-operator
Deploy and manage applications on Kubernetes. Covers deployments, services, ingress, HPA, secrets, and production-grade cluster configuration.