implementing-kubernetes-pod-security-standards

Pod Security Standards (PSS) define three levels of security policies -- Privileged, Baseline, and Restricted -- enforced by the Pod Security Admission (PSA) controller built into Kubernetes 1.25+. PS

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-kubernetes-pod-security-standards

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Installation Guide

How to use implementing-kubernetes-pod-security-standards on Cursor

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1

Prerequisites

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

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add implementing-kubernetes-pod-security-standards
2

Run the install command

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

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-kubernetes-pod-security-standards

Fetches implementing-kubernetes-pod-security-standards from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

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4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-kubernetes-pod-security-standards

Restart Cursor to activate implementing-kubernetes-pod-security-standards. Access via /implementing-kubernetes-pod-security-standards in your agent's command palette.

Security 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 environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
implementing-kubernetes-pod-security-standards
description
Pod Security Standards (PSS) define three levels of security policies -- Privileged, Baseline, and Restricted -- enforced by the Pod Security Admission (PSA) controller built into Kubernetes 1.25+. PS
domain
cybersecurity
subdomain
container-security
tags
- containers - kubernetes - security - pod-security - PSA
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.PS-01 - PR.IR-01 - ID.AM-08 - DE.CM-01

Implementing Kubernetes Pod Security Standards

Overview

Pod Security Standards (PSS) define three levels of security policies -- Privileged, Baseline, and Restricted -- enforced by the Pod Security Admission (PSA) controller built into Kubernetes 1.25+. PSA replaces the deprecated PodSecurityPolicy and provides namespace-level enforcement with three modes: enforce, audit, and warn.

When to Use

  • When deploying or configuring implementing kubernetes pod security standards capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Kubernetes cluster 1.25+ (PSA GA)
  • kubectl configured with cluster-admin access
  • Understanding of Linux capabilities and security contexts

Core Concepts

Three Security Profiles

ProfilePurposeRestrictions
PrivilegedUnrestricted, system workloadsNone
BaselinePrevents known escalationsNo hostNetwork, hostPID, hostIPC, privileged containers, dangerous capabilities
RestrictedHardened best practicesNon-root, drop ALL caps, seccomp required, read-only rootfs recommended

Three Enforcement Modes

ModeBehavior
enforceRejects pods that violate the policy
auditLogs violations in audit log but allows pod
warnReturns warning to user but allows pod

Workflow

Step 1: Label Namespaces for PSA

# Restricted namespace - production workloads
apiVersion: v1
kind: Namespace
metadata:
  name: production
  labels:
    pod-security.kubernetes.io/enforce: restricted
    pod-security.kubernetes.io/enforce-version: latest
    pod-security.kubernetes.io/audit: restricted
    pod-security.kubernetes.io/audit-version: latest
    pod-security.kubernetes.io/warn: restricted
    pod-security.kubernetes.io/warn-version: latest
# Baseline namespace - general workloads
apiVersion: v1
kind: Namespace
metadata:
  name: staging
  labels:
    pod-security.kubernetes.io/enforce: baseline
    pod-security.kubernetes.io/enforce-version: latest
    pod-security.kubernetes.io/audit: restricted
    pod-security.kubernetes.io/audit-version: latest
    pod-security.kubernetes.io/warn: restricted
    pod-security.kubernetes.io/warn-version: latest
# Privileged namespace - system components only
apiVersion: v1
kind: Namespace
metadata:
  name: kube-system
  labels:
    pod-security.kubernetes.io/enforce: privileged
    pod-security.kubernetes.io/enforce-version: latest

Step 2: Apply Labels to Existing Namespaces

# Apply restricted enforcement to production
kubectl label namespace production \
  pod-security.kubernetes.io/enforce=restricted \
  pod-security.kubernetes.io/audit=restricted \
  pod-security.kubernetes.io/warn=restricted \
  --overwrite

# Apply baseline to staging with restricted warnings
kubectl label namespace staging \
  pod-security.kubernetes.io/enforce=baseline \
  pod-security.kubernetes.io/audit=restricted \
  pod-security.kubernetes.io/warn=restricted \
  --overwrite

# Check labels on all namespaces
kubectl get namespaces -L pod-security.kubernetes.io/enforce

Step 3: Create Compliant Pod Specs

# Restricted-compliant deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: secure-app
  namespace: production
spec:
  replicas: 3
  selector:
    matchLabels:
      app: secure-app
  template:
    metadata:
      labels:
        app: secure-app
    spec:
      automountServiceAccountToken: false
      securityContext:
        runAsNonRoot: true
        runAsUser: 65534
        runAsGroup: 65534
        fsGroup: 65534
        seccompProfile:
          type: RuntimeDefault
      containers:
        - name: app
          image: myregistry.com/myapp:v1.0.0@sha256:abc123
          ports:
            - containerPort: 8080
              protocol: TCP
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            capabilities:
              drop:
                - ALL
            runAsNonRoot: true
            runAsUser: 65534
          resources:
            requests:
              memory: "64Mi"
              cpu: "100m"
            limits:
              memory: "256Mi"
              cpu: "500m"
          volumeMounts:
            - name: tmp
              mountPath: /tmp
            - name: cache
              mountPath: /var/cache
      volumes:
        - name: tmp
          emptyDir:
            sizeLimit: 100Mi
        - name: cache
          emptyDir:
            sizeLimit: 50Mi

Step 4: Gradual Migration Strategy

# Phase 1: Audit mode - discover violations without blocking
kubectl label namespace my-namespace \
  pod-security.kubernetes.io/audit=restricted \
  pod-security.kubernetes.io/warn=restricted

# Check audit logs for violations
kubectl logs -n kube-system -l component=kube-apiserver | grep "pod-security"

# Phase 2: Enforce baseline, warn on restricted
kubectl label namespace my-namespace \
  pod-security.kubernetes.io/enforce=baseline \
  pod-security.kubernetes.io/warn=restricted \
  --overwrite

# Phase 3: Full restricted enforcement
kubectl label namespace my-namespace \
  pod-security.kubernetes.io/enforce=restricted \
  --overwrite

Step 5: Dry-Run Enforcement Testing

# Test what would happen with restricted enforcement
kubectl label --dry-run=server --overwrite namespace my-namespace \
  pod-security.kubernetes.io/enforce=restricted

# Example output:
# Warning: existing pods in namespace "my-namespace" violate the new
# PodSecurity enforce level "restricted:latest"
# Warning: nginx-xxx: allowPrivilegeEscalation != false,
#   unrestricted capabilities, runAsNonRoot != true, seccompProfile

Baseline Profile Restrictions

ControlRestrictedRequirement
HostProcessMust not setPods cannot use Windows HostProcess
Host NamespacesMust not setNo hostNetwork, hostPID, hostIPC
PrivilegedMust not setNo privileged: true
CapabilitiesBaseline list onlyOnly NET_BIND_SERVICE, drop ALL for restricted
HostPath VolumesMust not useNo hostPath volume mounts
Host PortsMust not useNo hostPort in container spec
AppArmorDefault/runtimeCannot set to unconfined
SELinuxLimited typesOnly container_t, container_init_t, container_kvm_t
/proc Mount TypeDefault onlyMust use Default proc mount
SeccompRuntimeDefault or LocalhostMust specify seccomp profile (restricted)
SysctlsSafe set onlyLimited to safe sysctls

Validation Commands

# Verify namespace labels
kubectl get ns --show-labels | grep pod-security

# Test pod creation against policy
kubectl run test-pod --image=nginx --namespace=production --dry-run=server

# Check for violations in audit logs
kubectl get events --field-selector reason=FailedCreate -A

# Scan with Kubescape for PSS compliance
kubescape scan framework nsa --namespace production

References

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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

Steps

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

Related Skills

Reviews

4.767 reviews
  • M
    Mateo SrinivasanDec 20, 2024

    Registry listing for implementing-kubernetes-pod-security-standards matched our evaluation — installs cleanly and behaves as described in the markdown.

  • D
    Dev ThompsonDec 20, 2024

    implementing-kubernetes-pod-security-standards reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • J
    James HarrisDec 12, 2024

    Solid pick for teams standardizing on skills: implementing-kubernetes-pod-security-standards is focused, and the summary matches what you get after install.

  • A
    Alexander HuangDec 8, 2024

    Useful defaults in implementing-kubernetes-pod-security-standards — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • I
    Isabella MalhotraDec 8, 2024

    I recommend implementing-kubernetes-pod-security-standards for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • N
    Noor MenonNov 27, 2024

    Solid pick for teams standardizing on skills: implementing-kubernetes-pod-security-standards is focused, and the summary matches what you get after install.

  • E
    Emma SrinivasanNov 23, 2024

    Registry listing for implementing-kubernetes-pod-security-standards matched our evaluation — installs cleanly and behaves as described in the markdown.

  • I
    Isabella SethiNov 19, 2024

    Useful defaults in implementing-kubernetes-pod-security-standards — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • J
    James GuptaNov 11, 2024

    implementing-kubernetes-pod-security-standards has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Y
    Yusuf MartinezNov 3, 2024

    I recommend implementing-kubernetes-pod-security-standards for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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