K8s 分析
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- Node.js
- 文件与系统权限
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- 26 条
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: kubernetes-hardening-kubernetes-analyze
description: Audit Kubernetes cluster security posture against CIS benchmarks using kube-bench with automated…
category: 运维部署
runtime: Node.js
---
# kubernetes-hardening-kubernetes-analyze 输出预览
## PART A: 任务判断
- 适用问题:部署、CI、环境检查、发布或运维排障。
- 输入要求:目标材料、限制条件、期望输出和验收方式。
- 证据边界:围绕“Overview / When to Use / Prerequisites”读取原文规则,不把推断写成作者承诺。
## PART B: 执行结果
- **01** 任务判断:确认你的需求是否属于部署、CI、环境检查、发布或运维排障,并标出输入、限制和预期结果。
- **02** 执行计划:优先按“Overview / When to Use / Prerequisites”拆成步骤,说明每一步会读取什么、修改什么、产出什么。
- **03** 交付结果:给出可复制的命令、文件改动、检查清单或内容草稿,并说明如何继续迭代。
- **04** 风险边界:结合 读取文件、写入/修改文件、会按任务需要访问外部网络、通常不需要额外 API Key 给出执行前确认项。
## Running Rules
- 读取文件、写入/修改文件;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先小样例验证,再放大到真实任务。
- 交付时同时给结果、检查口径和下一步迭代建议。 原文出现了 `/usr`、`/etc`、`/var` 这类斜杠命令;如果你的 Agent 支持命令触发,优先用命令开场,再补充目标和边界。
告诉 Agent 目标文件或材料、期望结果、不可改范围、是否允许联网或执行命令。本 Skill 的权限画像是:读取文件、写入/修改文件。
先用一个小任务确认它会围绕“Overview / When to Use / Prerequisites”工作;涉及文件或命令时,先看 diff、日志、预览或测试结果。
检查最终产物是否包含明确结果、必要证据和下一步动作;如果输出泛泛而谈,就补充输入、边界和验收标准后重跑。
---
name: kubernetes-hardening-kubernetes-analyze
description: Audit Kubernetes cluster security posture against CIS benchmarks using kube-bench with automated…
category: 运维部署
source: tomevault-io/skills-registry
---
# kubernetes-hardening-kubernetes-analyze
## 什么时候使用
- 把部署运维方向的常用动作沉淀成 Agent 可调用的技能 适合处理部署、CI、发布、回滚、环境检查和运维排障,核心价值是把输入、判断、执行、验证和交付边界固定下来,避免 Agent 泛泛回答。 把任务拆成可执行、可检查、可继续迭代的步骤…
- 面向部署、CI、环境检查、发布或运维排障,优先处理能明确输入、步骤和验收标准的工作。
## 需要提供什么
- 目标材料、目录范围、期望结果和不可改动内容。
- 是否允许联网、执行命令、读写文件或调用外部服务。
## 执行规则
- 围绕「Overview / When to Use / Prerequisites」组织步骤,不把推断写成作者事实。
- 读取文件、写入/修改文件;会按任务需要访问外部网络;通常不需要额外 API Key。
- 先跑小样例,确认结果可检查后再扩大任务范围。
## 输出要求
- 给出最终产物、关键证据、验证方式和下一步动作。
- 信息不足时标记 unknown,不编造命令、平台或依赖。 作者原文负责流程事实;仓库文件负责来源和命令;流狐只补充适用场景、限制和质量判断。
skill "kubernetes-hardening-kubernetes-analyze" {
输入层 -> 用户目标 + 目标文件 + 禁止范围 + 验收标准
上下文层 -> Overview / When to Use / Prerequisites
规则层 -> SKILL.md 触发条件 / 执行顺序 / 输出格式
运行层 -> Node.js | 读取文件、写入/修改文件 | 会按任务需要访问外部网络
安全层 -> 通常不需要额外 API Key + 小任务验证 + diff / 日志复核
输出层 -> 可复制结果 + 检查清单 + 下一步迭代
} Performing Kubernetes CIS Benchmark with kube-bench
Overview
kube-bench is an open-source Go tool by Aqua Security that runs the CIS Kubernetes Benchmark checks. It verifies control plane, etcd, worker node, and policy configurations against security best practices, producing actionable pass/fail/warn reports.
When to Use
- When conducting security assessments that involve performing kubernetes cis benchmark with kube bench
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Kubernetes cluster (v1.24+)
- kubectl with cluster-admin access
- Node access for direct runs or privileged pod access
Installation
# Binary installation
curl -L https://github.com/aquasecurity/kube-bench/releases/download/v0.7.3/kube-bench_0.7.3_linux_amd64.tar.gz | tar xz
sudo mv kube-bench /usr/local/bin/
# Run as Kubernetes Job
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job.yaml
kubectl logs job/kube-bench
# Run as a pod with host access
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job-master.yaml
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job-node.yaml
Running Benchmarks
Full Benchmark
# Run all checks (auto-detects node type)
kube-bench run
# Run with JSON output
kube-bench run --json > kube-bench-results.json
# Run with JUnit output for CI
kube-bench run --junit > kube-bench-results.xml
Component-Specific Checks
# Control plane (master) checks
kube-bench run --targets master
# Worker node checks
kube-bench run --targets node
# etcd checks
kube-bench run --targets etcd
# Policies checks
kube-bench run --targets policies
# Control plane + etcd
kube-bench run --targets master,etcd
Managed Kubernetes
# Amazon EKS
kube-bench run --benchmark eks-1.2.0
# Google GKE
kube-bench run --benchmark gke-1.4.0
# Azure AKS
kube-bench run --benchmark aks-1.0
# Red Hat OpenShift
kube-bench run --benchmark rh-1.0
Filtering Results
# Show only failures
kube-bench run --targets master | grep "\[FAIL\]"
# Run specific check
kube-bench run --check 1.2.1
# Run check group
kube-bench run --group 1.2
CIS Benchmark Sections
| Section | Component | Key Checks |
|---|---|---|
| 1.1 | Control Plane - API Server | Anonymous auth, RBAC, audit logging |
| 1.2 | Control Plane - API Server | Admission controllers, encryption |
| 1.3 | Control Plane - Controller Manager | Service account tokens, bind address |
| 1.4 | Control Plane - Scheduler | Profiling, bind address |
| 2.1 | etcd | Client cert auth, peer encryption |
| 3.1 | Control Plane - Authentication | OIDC, client certs |
| 4.1 | Worker - kubelet | Anonymous auth, authorization |
| 4.2 | Worker - kubelet | TLS, read-only port |
| 5.1 | Policies - RBAC | Cluster-admin usage, service accounts |
| 5.2 | Policies - Pod Security | Privileged, host namespaces |
| 5.3 | Policies - Network | Network policies per namespace |
| 5.7 | Policies - General | Secrets, security context |
Output Example
[INFO] 1 Control Plane Security Configuration
[INFO] 1.1 Control Plane Node Configuration Files
[PASS] 1.1.1 Ensure that the API server pod specification file permissions are set to 600
[PASS] 1.1.2 Ensure that the API server pod specification file ownership is set to root:root
[FAIL] 1.1.3 Ensure that the controller manager pod specification file permissions are set to 600
[WARN] 1.1.4 Ensure that the scheduler pod specification file permissions are set to 600
== Summary ==
45 checks PASS
12 checks FAIL
8 checks WARN
0 checks INFO
CI/CD Integration
GitHub Actions
name: kubernetes-hardening-kubernetes
on:
schedule:
- cron: '0 6 * * 1'
jobs:
kube-bench:
runs-on: ubuntu-latest
steps:
- name: Configure kubectl
uses: azure/setup-kubectl@v3
- name: Run kube-bench
run: |
kubectl apply -f https://raw.githubusercontent.com/aquasecurity/kube-bench/main/job.yaml
kubectl wait --for=condition=complete job/kube-bench --timeout=120s
kubectl logs job/kube-bench > kube-bench-report.txt
- name: Check for failures
run: |
FAILS=$(grep -c "\[FAIL\]" kube-bench-report.txt || true)
echo "Failed checks: $FAILS"
if [ "$FAILS" -gt 0 ]; then
echo "::warning::$FAILS CIS benchmark checks failed"
fi
- name: Upload report
uses: actions/upload-artifact@v4
with:
name: kube-bench-report
path: kube-bench-report.txt
Remediation Examples
1.2.1 - Ensure --anonymous-auth is set to false
# /etc/kubernetes/manifests/kube-apiserver.yaml
spec:
containers:
- command:
- kube-apiserver
- --anonymous-auth=false
4.2.1 - Ensure --anonymous-auth is set to false on kubelet
# /var/libs/kubelet/config.yaml
authentication:
anonymous:
enabled: false
webhook:
enabled: true
5.2.1 - Minimize wildcard RBAC
# Find roles with wildcard permissions
kubectl get clusterroles -o json | jq '.items[] | select(.rules[].resources[] == "*") | .metadata.name'
Best Practices
- Run kube-bench before and after cluster provisioning
- Schedule weekly scans via CronJob for drift detection
- Export JSON for SIEM/compliance reporting
- Fix FAIL items first, then address WARN items
- Use benchmark profiles matching your Kubernetes distribution
- Track score over time to measure security posture improvement
- Combine with admission controllers to prevent drift
Source: DCx7C5/ai-marketplace — distributed by TomeVault.
先判断是否适合
作者设计意图
作者的方法与取舍
边界和复核