What problem does it solve? Comments left on issue-tracking tickets drift out of date, accumulate unnecessary detail, or become hard to read, and unlike GitHub there are no format hooks or threads to catch problems automatically. This Skill audits your own posted comments against three axes—coverage gaps, divergence from reality, and readability—and fixes them safely. ## Core Features & Use Cases - Three-axis audit: Checks for missing or excess context comments (judged by whether artifacts fall outside the ticket's closing conditions), verifies factual claims against actual artifact states and diffs, and measures readability after excluding quotes and URLs. - Read-aware editing: Determines whether a comment has been read (reactions, later replies, elapsed time) and rewrites unread comments in place while appending corrections as new comments to read ones. - Safe operations: Verifies which update/delete operations the available tooling supports before acting, backs up content before irreversible deletions, and never rewrites tickets filed by other people. - Use Case: After finishing a multi-part ticket, ask the AI to review your comments on it; it will flag a stale claim about a missing configuration, trim an over-long comment, and add missing context for an artifact outside the acceptance criteria. ## Quick Start Review my comments on ticket PROJ-123 for gaps, staleness, and readability, and fix what needs fixing.
