What problem does it solve? Development issues often contain inaccurate file paths, outdated assumptions, or misaligned designs. This Skill automates the triage of open GitHub issues by validating their content against the actual repository, correcting the body, and applying review status labels. ## Core Features & Use Cases - Automated Issue Selection: Finds the oldest unreviewed open issue via the GitHub CLI, skipping ones already labeled in-review, WIP, or needs-info. - Validity Verification: Checks issue claims against the latest main branch and supplements uncertain technical decisions with web research citing source URLs. - Label-Based Workflow: Applies in-review, reviewed, or needs-info labels to prevent duplicate reviews and route issues needing user decisions. - Use Case: Run it in a repository with a backlog of untriaged issues to have each one fact-checked against the codebase, corrected in place, and marked reviewed or escalated with questions. ## Quick Start Ask the AI to review the open issues in this repository and label the valid ones as reviewed.