What are the prerequisites for running this skill?

You must have the gcloud CLI installed on your machine to allow the skill to download artifacts from Google Cloud Storage.

What information is included in the interactive HTML report?

The report includes a chronological timeline of API verbs (create, patch, delete), the user who made the request, HTTP status codes, and relevant pod log entries.

What kind of URL does this skill require?

The skill requires a Prow job gcsweb URL that contains 'test-platform-results', which is the standard storage path for Kubernetes and OpenShift CI artifacts.

Do I need GCS authentication to use this skill?

No, because the 'test-platform-results' bucket is typically publicly accessible, gcloud authentication is optional for read access.

Can I filter for multiple resources at once?

Yes, you can provide a comma-delimited list or use regex patterns like 'pod/etcd-.*' to analyze multiple related resources simultaneously.

Prow Resource Lifecycle Analyzer

Name: Prow Resource Lifecycle Analyzer
Author: openshift-eng

byopenshift-eng

•

Deployment & DevOps

Analyzes Kubernetes resource lifecycles in Prow CI jobs by parsing audit and pod logs into interactive HTML reports.

The Prow Job Resource Analyzer is a specialized debugging tool designed to track the state changes of Kubernetes resources during CI test executions. By automatically fetching artifacts from Google Cloud Storage (GCS), it parses complex JSONL audit logs and plain-text pod logs to reconstruct a chronological timeline of events. This skill is essential for developers troubleshooting ephemeral test clusters, allowing them to visualize when resources like pods or configmaps were created, modified, or deleted, and by which service account, significantly reducing the time required for root cause analysis in CI/CD pipelines.

Key Features

0160 GitHub stars

02Automated retrieval of CI artifacts from Google Cloud Storage using Prow job URLs

03Interactive HTML report generation featuring chronological event timelines

04Regex-based resource filtering for granular search of namespaces, kinds, and names

05Dual-source parsing of Kubernetes API audit logs and container pod logs

06Detection of HTTP response codes and glog levels to highlight errors and warnings

Use Cases

01Visualizing the lifecycle of complex deployments to identify race conditions during CI setup

02Debugging intermittent E2E test failures by tracking pod eviction or deletion sequences

03Auditing API request flows to identify unexpected resource modifications in ephemeral clusters

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add openshift-eng/ai-helpers prow-job-analyze-resource

For use in Claude.ai and ChatGPT

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