comprehensive-issue-analyzer

GitHub issue triage automation fetches all open issues using pagination and analyzes them to produce a comprehensive report with category breakdown, age distribution, stale-issue detection, and prioritization recommendations, saving both raw data and formatted results to your workspace.

Yes. This tool handles repositories with 5000+ open issues by using cursor-based GraphQL pagination to retrieve all issues efficiently, then applies multi-dimensional analysis including priority assignment, age tracking, and discussion metrics.

The report provides category breakdown by label, age distribution of issues, detection of stale issues, identification of top discussed and oldest/newest issues, and actionable prioritization recommendations ranked by CRITICAL, HIGH, MEDIUM, LOW, and STALE priority levels.

Automated prioritization assigns priority levels based on issue type, comment volume, and activity recency, enabling you to focus on CRITICAL and HIGH-priority issues first while identifying stale items for closure or archival.

The tool fetches all open issues via GraphQL pagination at 100 issues per page, then saves raw JSON data and a formatted triage report to your workspace, preserving complete issue metadata for downstream analysis or export.

This tool is optimized for large repositories with 5000+ issues where manual triage becomes impractical, though it works with any repository size; smaller projects may see less value from automated multi-dimensional analysis.