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Run multi-model code reviews with pass/fail verdicts to catch quality and risk issues.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.HectorGuerilla/review-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-hectorguerilla-review-mcp' 'https://review-mcp-production.up.railway.app/mcp'
Review this code change with a multi-model panel. Focus on logic errors, edge cases, potential bugs, and maintainability issues, then return a final pass/fail verdict with fix suggestions.
A structured review listing key issues, risk levels, and whether the change should pass for merge.
Review the following release-related code, focusing on error handling, rollback risk, configuration impact, and stability, then output a pass/fail verdict.
A release-focused risk summary highlighting blocking issues and recommended fixes before deployment.
Run a joint review on this code, especially checking input validation, access control, sensitive data handling, and common security flaws, then decide whether it passes.
A list of security-related findings, their severity, and a final recommendation on whether it should pass.
Run multi-model code reviews to surface bugs, security risks, and improvements.
Automatically review GitHub PRs with efficient, deep analysis using static checks and LAG.
Automatically review code changes for bugs, security risks, and style issues.
Runs dual-model code reviews and synthesizes one unified report.
Run multi-model reviews for code changes, PRs, and risky edits.
Analyze local code quality, review diffs, and score whole projects.