Does this skill require specific network access?

Yes, the skill requires network access to reach your organization's internal or public component health API endpoint.

What versions of OpenShift does this skill support?

This skill supports any OpenShift release tracked in your component health API, including active development branches like 4.21 and GA'd releases like 4.17.

Can I filter the results to show only specific team components?

Yes, you can use the --components flag to specify one or multiple components, allowing teams to focus specifically on the areas they maintain.

How are the health metrics like 'Time to Triage' calculated?

Metrics are calculated by measuring the time difference between when a regression was first opened and its earliest triage timestamp in the associated JIRA data.

Why should I use the pre-calculated summary counts?

The summary counts are processed server-side to ensure accuracy and consistency, even if the detailed regression list is truncated for response size optimization.

OpenShift Regression Monitor

Name: OpenShift Regression Monitor
Author: openshift-eng

byopenshift-eng

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분석 및 모니터링

Analyzes and tracks software regressions across OpenShift releases to monitor component health and triage efficiency.

The OpenShift Regression Monitor skill enables Claude to fetch and analyze complex regression data from the OpenShift component health API. It provides high-level health metrics including triage percentages, average time-to-close, and component-specific stability reports. This tool is essential for release managers and engineering teams who need to track regression trends, identify bottleneck components, and ensure that software defects are being addressed within acceptable timeframes during the development lifecycle.

주요 기능

01Filter results by component names such as Monitoring, etcd, or kube-apiserver

02Optimized JSON output for fast processing and reduced token consumption

03Apply development window filters to exclude irrelevant historical data

04Calculate key health metrics including triage percentage and average time-to-close

0529 GitHub stars

06Fetch comprehensive regression data for specific OpenShift releases

사용 사례

01Identifying components with high regression counts or slow resolution times

02Generating release readiness reports based on component stability and triage rates

03Tracking team responsiveness to new bugs during active development windows

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add openshift-eng/ai-helpers list-regressions

For use in Claude.ai and ChatGPT

Download Skill