Skip to content
TrustedSkillsbeta
Back to all skills

Code Review

Listed
carvalab·vlatest·backend

Automates backend code reviews, identifying potential bugs, security vulnerabilities, and style inconsistencies using carvalab's AI models.

Repository

Install on your platform

This skill no longer installs under the name code-review. carvalab/k-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

carvalab

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 carvalab/k-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.
What each check looks for →

About this skill

What it does

The carvalab-code-review skill provides automated feedback on code submissions. It analyzes code for potential bugs, style inconsistencies, and adherence to best practices. This helps developers improve code quality and reduce the time spent in manual review cycles.

When to use it

  • Pre-commit checks: Integrate into a development workflow to automatically flag issues before code is merged.
  • Pull request reviews: Use to generate initial feedback on pull requests, accelerating the review process.
  • Learning and mentorship: Provide junior developers with automated guidance on coding standards.
  • Code cleanup tasks: Identify areas in existing codebases that need refactoring or improvement.

Key capabilities

  • Automated bug detection
  • Style guide enforcement
  • Best practices adherence checks

Example prompts

  • "Review this Python code for potential errors and style issues: [code snippet]"
  • "Can you analyze this JavaScript function and suggest improvements? [function definition]"
  • "Check this Rust implementation against the recommended coding standards. [Rust code]"

Tips & gotchas

The skill's effectiveness depends on the quality of the underlying rulesets it uses. Ensure these are appropriate for your project’s specific language version and style guidelines.