A comprehensive auditing tool for Amazon EKS that evaluates Kubernetes workloads against official best practices for security, performance, and reliability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install eks-workload-best-practice-assessment
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install eks-workload-best-practice-assessment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is EKS Workload Best Practice Assessment?
The EKS Workload Best Practice Assessment is a specialized technical audit tool designed for Amazon EKS environments. It bridges the gap between infrastructure configuration and application-level deployment by inspecting live Kubernetes workloads using kubectl and AWS CLI. This skill ensures that your deployments, statefulsets, and daemonsets align with the EKS Best Practices Guide and official Kubernetes documentation.
By leveraging Openclaw Skills, developers and DevOps engineers can automate the tedious process of checking resource limits, pod security contexts, and liveness probes. It provides a version-aware analysis, ensuring that recommendations are compatible with your specific EKS control plane version, whether you are running legacy clusters or the latest 1.30+ releases.
EKS Workload Best Practice Assessment Use Cases
- Periodic security audits to ensure pod security standards (PSA) are enforced across namespaces.
- Pre-production readiness reviews to verify resource requests, limits, and disruption budgets (PDB).
- Cost optimization by identifying workloads lacking horizontal pod autoscaling (HPA) or improper resource sizing.
- Troubleshooting reliability issues by auditing liveness, readiness, and startup probes across all containers.
- Compliance reporting for image security by integrating ECR vulnerability scanning data into a unified report.
How EKS Workload Best Practice Assessment Works
- Scope Definition: The skill identifies the target EKS cluster, region, and specific namespaces or workloads to be audited.
- Environment Detection: It executes version-aware detection to identify the K8s server version, EKS platform version, and node distribution.
- Dynamic Research: Using context7 and AWS knowledge MCP servers, it fetches the latest best practice thresholds and documentation sequentially to avoid rate limits.
- Data Collection: It gathers real-time workload data, including YAML specs, Service Accounts, Network Policies, and ECR image scan findings.
- Evaluation: Each workload is compared against the research baseline and assigned a status of PASS, FAIL, WARN, or N/A.
- Reporting: A detailed Markdown report is generated locally, featuring a compliance scorecard and prioritized remediation steps.
EKS Workload Best Practice Assessment Setup
To use this skill within the Openclaw Skills ecosystem, ensure your environment has the following tools installed and configured:
# Ensure AWS CLI and kubectl are configured for your cluster
aws eks update-kubeconfig --name your-cluster-name --region your-region
# Install jq for data processing
sudo apt-get install jq
# The skill requires the following MCP servers to be active:
# 1. aws-knowledge-mcp-server
# 2. context7 MCP
EKS Workload Best Practice Assessment Data Schema & Taxonomy
The skill organizes findings into a structured local Markdown report using a timestamped naming convention. The data is categorized into 8 core dimensions:
| Dimension | Data Points Collected | |---| | | Workload Config | Resource requests/limits, Probes, HPA/VPA settings | | Security | Pod Security Admission, Service Accounts, RBAC, IRSA | | Networking | Network Policies, Ingress/Service configurations | | Observability | Structured logging, Prometheus annotations | | Storage | PVC/StorageClass usage and access modes | | Image Security | ECR scan findings, lifecycle policies, and tags | | CI/CD | Deployment strategies and update history | | EKS Integration | VPC CNI settings and Pod Identity usage |
EKS Workload Best Practice Assessment Advanced Features
- Version-Aware Filtering: Automatically skips deprecated checks (like PSP for K8s 1.25+) and enables newer recommendations like Pod Identity.
- Infrastructure Merging: Seamlessly integrates with the aws-best-practice-research skill to provide a full-stack (Infra + Workload) audit report.
- Automated Remediation: Provides specific CLI commands or manifest patches to fix critical FAIL items identified during the assessment.
- Rate Limit Protection: Built-in sequential execution and retry logic for MCP tool calls to ensure stability in large-scale environments.
- Local File Management: Uses file-system tools to write comprehensive reports directly to your workspace instead of cluttering the terminal output.
SKILL.md
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