Can it help with CRD versioning and conversion webhooks?

Yes, it specifically monitors for the creation of new API versions and validates that appropriate conversion webhooks (Hub-Spoke pattern) are implemented to handle migrations.

Does this work with standard Kubernetes operators or just OpenShift?

While it contains specific context for OpenShift, its core logic is applicable to any Kubernetes operator built using the Operator SDK, Kubebuilder, or controller-runtime.

How does this skill detect breaking changes in Kubernetes operators?

It uses a set of static analysis rules to flag common issues like field removals or type changes in Go structs, combined with LLM-driven analysis to spot subtle semantic changes in controller logic.

What kind of mitigation advice does the skill provide?

Every finding includes actionable steps such as adding deprecation markers, implementing defaulting webhooks, or suggesting specific unit tests to verify upgrade safety.

Regression Analysis for OpenShift Operators

Name: Regression Analysis for OpenShift Operators
Author: shiftweek

byshiftweek

0•

デプロイメントとDevOps

Predicts and prevents breaking changes in OpenShift operator APIs by analyzing code diffs for backward compatibility and upgrade risks.

The Regression Analysis skill transforms Claude into an expert OpenShift operator API analyst, specializing in identifying potential regressions and breaking changes before they reach production. It performs deep analysis of git diffs across API types, CRD schemas, and controller code to detect issues like field removals, type changes, and missing conversion webhooks. By combining automated static rules with semantic reasoning, it helps developers maintain robust upgrade paths and ensure that existing Custom Resources (CRs) remain compatible across operator versions.

主な機能

01Semantic review of controller reconciliation logic for behavioral regressions

02Validation rule monitoring to prevent accidental tightening of CRD schemas

03Automated checks for missing conversion webhooks in multi-version APIs

04Detailed mitigation strategies and test scenarios for every identified finding

05Static analysis of Go-based API types to detect field removals and type changes

060 GitHub stars

ユースケース

01Planning upgrade paths for complex Kubernetes operators with multiple versions

02Auditing operator status condition changes to prevent breaking downstream monitoring

03Automated code review of pull requests involving CRD schema or API changes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add shiftweek/oape-ai-e2e regression-analysis

For use in Claude.ai and ChatGPT

主な機能

01Semantic review of controller reconciliation logic for behavioral regressions

02Validation rule monitoring to prevent accidental tightening of CRD schemas

03Automated checks for missing conversion webhooks in multi-version APIs

04Detailed mitigation strategies and test scenarios for every identified finding

05Static analysis of Go-based API types to detect field removals and type changes

060 GitHub stars

ユースケース

01Planning upgrade paths for complex Kubernetes operators with multiple versions

02Auditing operator status condition changes to prevent breaking downstream monitoring

03Automated code review of pull requests involving CRD schema or API changes