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Kubernetes Automation

Name: Kubernetes Automation
Author: sky-lv

作者 SKY-lv · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install kubernetes-automation

功能描述

Automate Kubernetes cluster management by deploying, scaling, monitoring, troubleshooting resources, and managing configurations efficiently.

使用说明 (SKILL.md)

kubernetes-automation

Kubernetes cluster management and automation for AI agents. Deploy, scale, monitor, and troubleshoot K8s resources effortlessly.

Overview

A comprehensive Kubernetes assistant that helps agents manage clusters, deploy applications, and handle common K8s operations.

Features

Resource Deployment: Deploy pods, deployments, services, and more
Scaling Operations: Scale deployments, manage replicas
Health Monitoring: Check pod status, resource usage, events
Troubleshooting: Diagnose failed pods, debug issues
Config Management: Manage configmaps, secrets, namespaces
Service Mesh: Work with Istio, Linkerd configurations
Backup/Restore: Export and import cluster state

Commands

Deploy Application

deploy app from deployment.yaml to production namespace

Check Status

get pod status in production namespace

Scale Deployment

scale my-app to 5 replicas

Debug Issue

debug pod crash in default namespace

Use Cases

Kubernetes deployment automation
Cluster health monitoring
Application scaling
Troubleshooting pod failures
Configuration management
DevOps workflow automation

Requirements

kubectl configured
Kubernetes cluster access
Optional: Helm, Kustomize

安全使用建议

This skill describes legitimate Kubernetes automation, but its SKILL.md assumes kubectl and access to a kubeconfig/cluster without declaring those requirements. Before installing, verify: (1) where and how the skill will obtain kubeconfig or cluster credentials (KUBECONFIG or ~/.kube/config), (2) whether the agent will be allowed to manage secrets or export cluster state (these are sensitive), (3) limit the agent's RBAC permissions to least privilege and prefer a non-production/test cluster for evaluation, (4) consider disabling autonomous invocation or requiring explicit confirmation for any destructive or data-exporting actions, and (5) ask the publisher to update metadata to list required binaries (kubectl), config paths, and exact credentials needed. If you cannot confirm these, treat the skill as risky for production clusters.

功能分析

Type: OpenClaw Skill Name: kubernetes-automation Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md) for a Kubernetes automation assistant. It describes standard cluster management tasks such as resource deployment, scaling, and troubleshooting using kubectl, with no executable code, suspicious network calls, or malicious instructions provided.

能力评估

⚠ Purpose & Capability

The name and SKILL.md purpose (deploy/scale/monitor/troubleshoot K8s) are internally consistent, but the metadata declares no required binaries, environment variables, or config paths even though the instructions explicitly assume kubectl is configured and that the agent has cluster access (and optionally Helm/Kustomize). The skill should have declared KUBECONFIG or ~/.kube/config and kubectl as requirements.

⚠ Instruction Scope

Instructions tell an agent to perform cluster operations (deploy, scale, debug, backup/restore, manage secrets, service-mesh config). Those operations necessarily require reading cluster credentials (kubeconfig) and can access or export sensitive cluster state (including secrets). The SKILL.md does not constrain or describe how credentials/configs are accessed or protected.

✓ Install Mechanism

This is an instruction-only skill with no install spec or code files, so nothing will be written to disk by an installer. That lowers supply-chain risk, but does not remove runtime risk from use of external tools (kubectl) and cluster credentials.

⚠ Credentials

The skill declares no required environment variables or config paths, yet it implicitly requires access to kubeconfig/cluster credentials and may need cloud provider credentials for some clusters. It also mentions managing secrets and backup/restore which are high-sensitivity operations — requesting no explicit credential/config declarations is disproportionate and opaque.

ℹ Persistence & Privilege

always is false (good). The skill can be invoked autonomously by the agent (platform default). Combined with the implicit need for cluster credentials and ability to change or export cluster state, autonomous invocation increases blast radius — consider limiting autonomous invocation or requiring explicit user approval before cluster-affecting operations.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install kubernetes-automation
安装完成后，直接呼叫该 Skill 的名称或使用 /kubernetes-automation 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release of kubernetes-automation skill: - Automates Kubernetes cluster management tasks for AI agents. - Supports deployment, scaling, health monitoring, and troubleshooting of K8s resources. - Manages configmaps, secrets, namespaces, and service mesh configurations. - Includes backup and restore functionality for cluster state. - Provides easy-to-use commands for common K8s operations.

元数据

Slug kubernetes-automation

版本 1.0.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

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