Review code diffs and snippets for evidence-based issues across correctness, security, and performance.
npx skills add https://github.com/korwlik23/skills --skill code-review-korwlik23
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/korwlik23/skills/tree/main/v3-eng/code-review Command: npx skills add https://github.com/korwlik23/skills --skill code-review-korwlik23
Code review helps you identify bugs, security risks, performance problems, and maintainability issues in code by reporting only what is supported by the provided context.
Use this skill when you paste a diff or code snippet and want a rigorous review of risks and concrete fixes.
High-intent search queries and answers about installing and using this skill.
Perform an evidence-based code review by submitting your pull request diff or snippet for analysis. The tool evaluates correctness, security, performance, and API design, outputting structured findings with severity, impact, and fix guidance based solely on provided evidence.
Evidence-based code review identifies bugs and maintainability issues by strictly validating them against provided diffs, schemas, logs, or tests. It avoids speculation by reporting only risks provable from the actual context.
Yes, you can use code review to analyze database schemas and infrastructure configurations. It assesses data integrity, security, and performance across backend, frontend, database, and infrastructure surfaces.
Yes, code review provides actionable remediation for security risks. Each finding includes severity, category, location, impact, and concrete fix guidance, offering alternatives when appropriate to resolve the issue.
The best way to review API design quality and logical correctness during a refactor is to submit the code for structured risk coverage. It evaluates naming, design quality, and error handling, providing evidence-backed fix guidance.
A limitation of code review on isolated snippets is that findings require supporting evidence from the code, logs, or schemas. It strictly avoids speculation, meaning it will not report issues lacking contextual proof.
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