Why does the review run in a 'forked context'?

Running in a forked context provides an unbiased perspective, ensuring the AI approaches the code with the same objectivity as a human reviewer seeing the changes for the first time.

Does this skill work with internal libraries?

Yes, it uses the Matrix Code Index and Context7 library documentation tools to resolve internal definitions, symbols, and calls within your specific repository.

How does Matrix Code Review reduce false positives?

It utilizes a specialized Triage Agent that filters noise and calibrates confidence levels based on codebase context, aiming for an 80% signal ratio to ensure only actionable issues are reported.

What is 'Blast Radius Analysis'?

This is a deep analysis performed by the Impact Agent that calculates how changes to a specific file or function affect the rest of the transitive dependency graph, including service boundaries.

Can I use this for quick checks instead of deep reviews?

Yes, by using 'Lazy Mode,' the skill runs only the Detection Agent to find critical issues quickly without performing full impact analysis or triage depth.

Matrix Code Review

Name: Matrix Code Review
Author: ojowwalker77

byojowwalker77

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セキュリティとテスト

Automates comprehensive, multi-agent code reviews with impact analysis and noise reduction for files, pull requests, and staged changes.

概要

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.

主な機能

Context-aware remediation that generates fixes matching specific codebase patterns.
95% false positive reduction through intelligent signal-ratio targeting.
81 GitHub stars
Automated blast radius analysis to identify transitive breaking changes and side effects.
Support for multiple modes including comprehensive deep-dives and quick 'lazy' inspections.
Four-agent orchestration pipeline for security, impact, triage, and remediation.

ユースケース

In-depth Pull Request auditing to identify security vulnerabilities and architectural impact.
Blast radius analysis to understand how modifying a core utility affects the wider dependency graph.
Pre-commit sanity checks on staged changes to catch logic flaws before they are committed.

概要

主な機能

Context-aware remediation that generates fixes matching specific codebase patterns.
95% false positive reduction through intelligent signal-ratio targeting.
81 GitHub stars
Automated blast radius analysis to identify transitive breaking changes and side effects.
Support for multiple modes including comprehensive deep-dives and quick 'lazy' inspections.
Four-agent orchestration pipeline for security, impact, triage, and remediation.

ユースケース

In-depth Pull Request auditing to identify security vulnerabilities and architectural impact.
Blast radius analysis to understand how modifying a core utility affects the wider dependency graph.
Pre-commit sanity checks on staged changes to catch logic flaws before they are committed.