k8s-security-policies▌
wshobson/agents · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
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
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-policiesHow to use k8s-security-policies on Cursor
AI-first code editor with Composer
1Prerequisites
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
2Execute 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-policiesThe skills CLI fetches k8s-security-policies from GitHub repository wshobson/agents and configures it for Cursor.
3Select 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│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/k8s-security-policiesReload 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.
Additional Resources
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.5★★★★★53 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.
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