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Matrix Code Review leverages a specialized four-agent architecture to perform deep, context-aware analysis of your codebase, significantly reducing false positives compared to standard linters. By utilizing a forked context for an unbiased perspective, it detects security vulnerabilities, calculates the transitive blast radius of changes across service boundaries, and filters noise through confidence calibration. Whether auditing active pull requests or verifying staged changes, this skill ensures high-signal feedback and provides production-ready remediation fixes that respect your existing project patterns and library dependencies.