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Run code quality and compliance checks for AI coding assistants.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-guardian" yet — see the docs or source repo.
Use code-guardian to review these project changes. Focus on file size limits, ESLint errors, comment compliance, and common anti-patterns, then list issues and fixes by severity.
A severity-ranked code quality report with specific issues, affected files, and recommended fixes.
Use code-guardian to verify whether the current code violates layered architecture rules, such as cross-layer calls, broken directory boundaries, or forbidden dependencies, and suggest corrections.
Architecture compliance results highlighting invalid dependencies or directory relationships, with actionable remediation steps.
I just had an AI generate a batch of code. Run code-guardian for acceptance checks covering ESLint, anti-pattern scanning, comment compliance, and oversized file risks, then summarize whether it is ready to merge.
A merge-readiness verdict with blocking issues, warnings, and corresponding fix recommendations.
Review code for security, quality, and performance issues with actionable suggestions.
Scan large codebases, detect hotspots, and refactor code safely.
Scan AI-generated code for injections, secrets, SSRF, and risky patterns.
Analyze local code quality, review diffs, and score whole projects.
Analyze TypeScript and Prisma codebases to prevent risky changes and silent regressions.
Provides queryable team coding standards and best practices for AI-assisted development.