Does it support environment-specific policies?

Absolutely. The templates include patterns to apply different constraints based on namespace naming conventions, such as stricter limits for development versus production environments.

Can this skill help reduce cloud infrastructure costs?

Yes, by enforcing storage limits and container resource requests, it prevents accidental over-provisioning and ensures efficient utilization of node capacity.

What is the benefit of using OPA alongside ResourceQuotas?

While ResourceQuotas cap total consumption per namespace, OPA validates individual resource configurations at admission time, providing immediate feedback and more granular logic than native Kubernetes objects.

How does this skill help with OOMKilled errors?

It provides best-practice guidance on right-sizing workloads, helping you set requests based on actual usage and limits high enough to prevent frequent pod terminations.

Kubernetes Resource Governance OPA Templates

Name: Kubernetes Resource Governance OPA Templates
Author: adaptive-enforcement-lab

byadaptive-enforcement-lab

Cloud Infrastructure

Enforces Kubernetes resource limits, namespace quotas, and storage constraints using Open Policy Agent (OPA) to prevent cluster overconsumption.

About

This skill provides a comprehensive suite of OPA policy templates designed to maintain the health and cost-efficiency of Kubernetes clusters. By enforcing CPU and memory limits at the container level, validating deployments against namespace LimitRanges, and restricting persistent volume sizes, it prevents single workloads from exhausting shared resources. It bridges the gap between raw Kubernetes manifests and organizational governance standards, ensuring that workloads are appropriately right-sized for their environment before they are admitted to the cluster.

Key Features

Implementation patterns for three-layer resource governance
0 GitHub stars
Validation against namespace-specific LimitRange constraints
Environment-aware storage cost control for PVCs
Best practice guidance for workload right-sizing
Automatic enforcement of CPU and memory limits and requests

Use Cases

Preventing noisy neighbor issues by requiring resource limits on all containers.
Restricting development teams from provisioning excessively large cloud storage volumes.
Ensuring all deployed pods adhere to pre-defined namespace ResourceQuotas.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptive-enforcement-lab/claude-skills opa-resource-governance-templates

For use in Claude.ai and ChatGPT

Download Skill

GitHub