You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.

Your automated code review is missing genuine bugs in pull requests. Investigation reveals that your review prompt includes the instruction: "Only flag critical issues that would definitely cause production failures. Ignore minor concerns and anything you're uncertain about." Developers confirm that some missed bugs are real logic errors the model investigated but chose not to report. The team requires that review output remain structured (each finding tagged with metadata) and actionable.

Which prompt change both removes the cause of the suppressed findings and preserves structured, tagged output for downstream filtering?