Generates structured, parseable reports for code reviews with prioritized findings and severity mapping.
The Review Output skill provides a formal framework for code review agents to deliver findings in a consistent, machine-readable markdown format. By enforcing a strict structure of Critical, Issues, and Recommendations, it ensures that both automated tools and human developers can quickly identify security vulnerabilities, logical errors, and style improvements. This skill is essential for maintaining a high bar for code quality and ensuring that AI-driven reviews are actionable, organized, and easily integrated into existing development workflows.
Key Features
01Optimized handling for 'No Issues Found' scenarios with strength analysis.
021 GitHub stars
03Precise file-and-line location formatting for all findings.
04Standardized markdown reporting structure for consistent outputs.
05Three-tier severity mapping: Critical, Issues, and Recommendations.
06Automated summary line for easy parsing by external tools.
Use Cases
01Generating parseable summaries for CI/CD pipeline integration.
02Automated security auditing and vulnerability reporting.
03Standardizing feedback across specialized AI review agents.
