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Code Reviewer

Listed
404kidwiz·vlatest·backend

This AI analyzes your backend code for potential bugs, style issues, and vulnerabilities, improving code quality and security.

Repository

Install on your platform

This skill no longer installs under the name code-reviewer. 404kidwiz/claude-supercode-skills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

404kidwiz

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as 404kidwiz/claude-supercode-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill enables AI agents to perform automated code reviews, analyzing source code for bugs, security vulnerabilities, and adherence to best practices. It provides actionable feedback to help developers improve code quality before deployment.

When to use it

  • Before merging pull requests in a collaborative development environment.
  • When auditing legacy codebases for potential security risks or inefficiencies.
  • During the initial setup of a new project to enforce coding standards from the start.
  • To quickly identify syntax errors or logical flaws in scripts before execution.

Key capabilities

  • Automated analysis of source code for common issues.
  • Identification of security vulnerabilities and anti-patterns.
  • Suggestions for refactoring based on industry best practices.
  • Context-aware feedback tailored to specific programming languages.

Example prompts

  • "Review this Python function for potential race conditions and suggest fixes."
  • "Analyze the following JavaScript module for security vulnerabilities and performance bottlenecks."
  • "Perform a code review on this Rust implementation, focusing on memory safety and error handling."

Tips & gotchas

Ensure you provide complete context or relevant dependencies when submitting code for review to avoid false positives. While powerful, always verify critical security recommendations manually before applying them to production systems.