Review code changes for security, correctness, and maintainability issues.
npx skills add https://github.com/ngochuy13/intern-dev --skill code-reviewer-ngochuy13
Please help me install this Agent Skill. Skill: code-reviewer Source: https://github.com/ngochuy13/intern-dev/tree/main/skills/code-reviewer Command: npx skills add https://github.com/ngochuy13/intern-dev --skill code-reviewer-ngochuy13
Code reviewers help you identify defects and risks before they ship by turning an unlabeled change into a structured, prioritized assessment of correctness, security, performance, and readability.
Ask the skill to review your pull request diff and report Critical security issues first, then correctness, performance, and readability problems.
High-intent search queries and answers about installing and using this skill.
To review a pull request for security vulnerabilities and bugs, submit your diff, file paths, or snippets for analysis. The review prioritizes security and correctness findings, outputting categorized severity levels with concrete fixes and a final merge verdict.
The best way to find code smells and performance issues in a diff is to run a multi-dimension scan on the changes. This surfaces readability problems, DRY violations, and performance bottlenecks, categorizing them into Critical, Warning, and Suggestion items.
Yes, you can use this code review process on individual file paths, snippets, diffs, or full PR/MR references. It audits code quality and potential regressions regardless of the input size, ending with a clear Approve, Request Changes, or Comment verdict.
Severity-based code review prioritizes fixes by categorizing findings into Critical (Must Fix), Warning (Should Fix), and Suggestion (Nice to Have) items. It evaluates security first, then correctness, performance, and readability to generate actionable fixes.
Yes, automated code review checks for missing tests and error-handling gaps as part of its multi-dimension scanning. It identifies these maintainability problems alongside security vulnerabilities and correctness bugs before providing a final merge verdict.
AI code review limitations include relying solely on provided snippets, file paths, or diffs for regression detection. It cannot execute code or access runtime environments, meaning it audits static code quality and potential risks rather than validating actual runtime behavior.
kolattsReview PRs, diffs, and code snippets with Approve/Request Changes decisions.
mcampbellrAutomate code review for bugs, security vulnerabilities, and quality issues.
Ramprasad4121Prepare codebases for security review with static analysis and documentation.
jcoutsousaAggregates static analysis and test results into a comprehensive code quality report for multi-project environments.
