rtk-triage

Automating GitHub issue and pull request triage for security vulnerabilities involves using orchestration scripts to cross-analyze repository data via the GitHub API. This identifies security gaps and conflicting pull requests simultaneously, generating a comprehensive report for documentation.

Cross-analysis for duplicate coverage and conflicting pull requests is the process of examining GitHub issues and pull requests together to find overlapping work and conflicts. It highlights security gaps and duplicate coverage, ensuring proper documentation before sprints.

Yes, you need GitHub CLI (gh) and jq to analyze repository issues and pull requests. These dependencies are required for data collection and orchestration, enabling the automated cross-referencing of GitHub API data to identify coverage and security gaps.

Yes, you can run parallel triage on issues and pull requests before a sprint. The process simultaneously analyzes issues and pull requests to detect duplicate coverage, security vulnerabilities, and conflicting pull requests, saving a comprehensive report for review.

The best way to detect security gaps in GitHub pull requests is through automated cross-analysis. By orchestrating GitHub API data collection with specific tools, you can identify security vulnerabilities and conflicting pull requests, generating a report for weekly reviews.

Automated triage requires specific tools for data collection to parse GitHub API JSON responses and orchestrate parallel analysis. Tools like gh and jq extract repository issues and pull requests, enabling the identification of security vulnerabilities and duplicate coverage.