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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.
Validate AI-generated code against real codebases before bugs reach runtime.
Analyze local code quality, review diffs, and score whole projects.
Provides queryable team coding standards and best practices for AI-assisted development.
Verify AI-generated code for quality, security, and performance with more trust.
Scans AI-generated code for vulnerabilities, secrets, and secure coding issues.
Centralize AI code generation security rules across repositories with consistent governance.