Does it require any external tools?

Yes, this skill requires the GitHub (gh) CLI to be installed and authenticated to access workflow runs, jobs, and pull request data.

Can it identify the specific commit that broke the CI?

Yes, by comparing the first failed run with the last successful run of a specific job, it can identify and verify the commit that introduced the regression.

How does the GHA skill identify the cause of a failure?

The skill uses the GitHub CLI to fetch and read full workflow logs, distinguishing between fatal errors and warnings to pinpoint exactly what triggered the failure.

Will it suggest a fix for the failing build?

It provides a root cause analysis and recommendations, but it will first search for existing open PRs that might already address the issue to avoid redundant suggestions.

Can this skill tell if a test is flaky?

Yes, it analyzes the past 10-20 runs of the specific failing job to calculate success rates and determine if the failure is a recurring pattern or a one-off event.

GitHub Actions Analyzer

Name: GitHub Actions Analyzer
Author: ykdojo

byykdojo

•

1,975

部署与 DevOps

Analyzes GitHub Actions failures to identify root causes, assess flakiness, and locate breaking commits using the GitHub CLI.

关于

The GitHub Actions (GHA) skill empowers Claude to perform deep-dive investigations into failed workflow runs by leveraging the GitHub CLI. It systematically parses complex execution logs to distinguish fatal errors from non-fatal warnings, examines historical run data to determine if a failure is a one-time flake or a recurring regression, and identifies the specific commit that introduced the issue. By checking for existing pull requests that might already address the failure, this skill streamlines the debugging process for DevOps engineers and developers, providing a comprehensive report that includes success rates, root cause hypotheses, and actionable recommendations.

主要功能

Flakiness assessment by analyzing historical success rates of specific jobs
1,975 GitHub stars
Automated log parsing to isolate specific triggers for exit code 1
Breaking commit identification through pass/fail run comparison
Integration with GitHub CLI for real-time workflow and job data
Automated search for existing fix PRs to prevent duplicate work

使用场景

Determining if a test failure is a known flaky issue or a new regression
Investigating mysterious CI/CD failures on pull requests or main branches
Finding the exact commit that broke a specific job in a complex workflow

关于

主要功能

Flakiness assessment by analyzing historical success rates of specific jobs
1,975 GitHub stars
Automated log parsing to isolate specific triggers for exit code 1
Breaking commit identification through pass/fail run comparison
Integration with GitHub CLI for real-time workflow and job data
Automated search for existing fix PRs to prevent duplicate work

使用场景

Determining if a test failure is a known flaky issue or a new regression
Investigating mysterious CI/CD failures on pull requests or main branches
Finding the exact commit that broke a specific job in a complex workflow