k8s-security-policies

wshobson/agents · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/wshobson/agents --skill k8s-security-policies
0 commentsdiscussion
summary

Defense-in-depth Kubernetes security through network policies, pod security standards, RBAC, and admission control.

  • Covers three pod security levels (Privileged, Baseline, Restricted) enforced via namespace labels for graduated security posture
  • Provides NetworkPolicy templates for default-deny, service-to-service communication, and DNS egress patterns
  • Includes RBAC configuration examples for roles, cluster roles, and bindings to implement least-privilege access
  • Demonstrates OPA Ga
skill.md

Kubernetes Security Policies

Comprehensive guide for implementing NetworkPolicy, PodSecurityPolicy, RBAC, and Pod Security Standards in Kubernetes.

Purpose

Implement defense-in-depth security for Kubernetes clusters using network policies, pod security standards, and RBAC.

When to Use This Skill

  • Implement network segmentation
  • Configure pod security standards
  • Set up RBAC for least-privilege access
  • Create security policies for compliance
  • Implement admission control
  • Secure multi-tenant clusters

Pod Security Standards

1. Privileged (Unrestricted)

apiVersion: v1
kind: Namespace
metadata:
  name: privileged-ns
  labels:
    pod-security.kubernetes.io/enforce: privileged
    pod-security.kubernetes.io/audit: privileged
    pod-security.kubernetes.io/warn: privileged

2. Baseline (Minimally restrictive)

apiVersion: v1
kind: Namespace
metadata:
  name: baseline-ns
  labels:
    pod-security.kubernetes.io/enforce: baseline
    pod-security.kubernetes.io/audit: baseline
    pod-security.kubernetes.io/warn: baseline

3. Restricted (Most restrictive)

apiVersion: v1
kind: Namespace
metadata:
  name: restricted-ns
  labels:
    pod-security.kubernetes.io/enforce: restricted
    pod-security.kubernetes.io/audit: restricted
    pod-security.kubernetes.io/warn: restricted

Network Policies

Default Deny All

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: default-deny-all
  namespace: production
spec:
  podSelector: {}
  policyTypes:
    - Ingress
    - Egress

Allow Frontend to Backend

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-frontend-to-backend
  namespace: production
spec:
  podSelector:
    matchLabels:
      app: backend
  policyTypes:
    - Ingress
  ingress:
    - from:
        - podSelector:
            matchLabels:
              app: frontend
      ports:
        - protocol: TCP
          port: 8080

Allow DNS

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: allow-dns
  namespace: production
spec:
  podSelector: {}
  policyTypes:
    - Egress
  egress:
    - to:
        - namespaceSelector:
            matchLabels:
              name: kube-system
      ports:
        - protocol: UDP
          port: 53

Reference: See assets/network-policy-template.yaml

RBAC Configuration

Role (Namespace-scoped)

apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: pod-reader
  namespace: production
rules:
  - apiGroups: [""]
    resources: ["pods"]
    verbs: ["get", "watch", "list"]

ClusterRole (Cluster-wide)

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: secret-reader
rules:
  - apiGroups: [""]
    resources: ["secrets"]
    verbs: ["get", "watch", "list"]

RoleBinding

apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: read-pods
  namespace: production
subjects:
  - kind: User
    name: jane
    apiGroup: rbac.authorization.k8s.io
  - kind: ServiceAccount
    name: default
    namespace: production
roleRef:
  kind: Role
  name: pod-reader
  apiGroup: rbac.authorization.k8s.io

Reference: See references/rbac-patterns.md

Pod Security Context

Restricted Pod

apiVersion: v1
kind: Pod
metadata:
  name: secure-pod
spec:
  securityContext:
    runAsNonRoot: true
    runAsUser: 1000
    fsGroup: 1000
    seccompProfile:
      type: RuntimeDefault
  containers:
    - name: app
      image: myapp:1.0
      securityContext:
        allowPrivilegeEscalation: false
        readOnlyRootFilesystem: true
        capabilities:
          drop:
            - ALL

Policy Enforcement with OPA Gatekeeper

ConstraintTemplate

apiVersion: templates.gatekeeper.sh/v1
kind: ConstraintTemplate
metadata:
  name: k8srequiredlabels
spec:
  crd:
    spec:
      names:
        kind: K8sRequiredLabels
      validation:
        openAPIV3Schema:
          type: object
          properties:
            labels:
              type: array
              items:
                type: string
  targets:
    - target: admission.k8s.gatekeeper.sh
      rego: |
        package k8srequiredlabels
        violation[{"msg": msg, "details": {"missing_labels": missing}}] {
          provided := {label | input.review.object.metadata.labels[label]}
          required := {label | label := input.parameters.labels[_]}
          missing := required - provided
          count(missing) > 0
          msg := sprintf("missing required labels: %v", [missing])
how to use k8s-security-policies

How to use k8s-security-policies on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add k8s-security-policies
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/wshobson/agents --skill k8s-security-policies

The skills CLI fetches k8s-security-policies from GitHub repository wshobson/agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/k8s-security-policies

Reload or restart Cursor to activate k8s-security-policies. Access the skill through slash commands (e.g., /k8s-security-policies) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.553 reviews
  • Sakura Menon· Dec 28, 2024

    Registry listing for k8s-security-policies matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Henry Jackson· Dec 20, 2024

    k8s-security-policies has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakura Tandon· Dec 8, 2024

    k8s-security-policies reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nikhil Singh· Dec 4, 2024

    k8s-security-policies is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Luis Verma· Nov 27, 2024

    k8s-security-policies has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Rao· Nov 23, 2024

    Keeps context tight: k8s-security-policies is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Liam Liu· Nov 11, 2024

    k8s-security-policies reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aarav Farah· Oct 18, 2024

    k8s-security-policies fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Nikhil Anderson· Oct 14, 2024

    I recommend k8s-security-policies for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf Zhang· Oct 2, 2024

    We added k8s-security-policies from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

showing 1-10 of 53

1 / 6