access-review
FreeConduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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Implement Kubernetes security contexts, Pod Security Standards, and network policies. Secure cluster components and workloads. Use when hardening Kubernetes deployments or meeting security compliance.
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Review the instructions the agent will receive before you install.
Secure Kubernetes clusters and workloads.
Use this skill when:
# Namespace with restricted policy
apiVersion: v1
kind: Namespace
metadata:
name: production
labels:
pod-security.kubernetes.io/enforce: restricted
pod-security.kubernetes.io/audit: restricted
pod-security.kubernetes.io/warn: restricted
apiVersion: v1
kind: Pod
metadata:
name: secure-pod
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1000
runAsGroup: 1000
fsGroup: 1000
seccompProfile:
type: RuntimeDefault
containers:
- name: app
image: myapp:latest
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities:
drop: ["ALL"]
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-all
spec:
podSelector: {}
policyTypes:
- Ingress
- Egress
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-web
spec:
podSelector:
matchLabels:
app: web
ingress:
- from:
- podSelector:
matchLabels:
app: frontend
ports:
- port: 8080
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: app-reader
rules:
- apiGroups: [""]
resources: ["pods", "services"]
verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: app-reader-binding
subjects:
- kind: ServiceAccount
name: myapp
roleRef:
kind: Role
name: app-reader
apiGroup: rbac.authorization.k8s.io
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Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
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Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
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Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
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Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
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Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
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