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Code Review Checklist

Checked
vudovn·vlatest·backend·MIT

Automates backend code review checklists, ensuring consistency and identifying potential issues based on vudovn's best practices.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vudovn/ag-kit --skill code-review-checklist -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vudovn

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vudovn/antigravity-kit at 549ba3dc2e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 106 lines
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

This skill generates comprehensive checklists specifically designed to streamline the code review process for AI agents. It ensures that reviews cover essential quality, security, and maintainability standards without manual overhead.

When to use it

  • Automating pre-commit checks before merging pull requests in a CI/CD pipeline.
  • Validating third-party contributions to ensure they align with team coding standards.
  • Generating audit trails for compliance-sensitive backend services.
  • Onboarding new AI agents by providing a consistent framework for evaluating code quality.

Key capabilities

  • Produces structured, itemized review checklists tailored to specific codebases.
  • Focuses on critical backend concerns such as security vulnerabilities and performance bottlenecks.
  • Reduces human bias by applying consistent criteria across all reviewed submissions.
  • Integrates seamlessly into existing workflow tools to minimize friction during the review phase.

Example prompts

  • "Create a code review checklist for my Python backend service focusing on database query optimization."
  • "Generate a security-focused checklist for reviewing Node.js modules in our microservices architecture."
  • "Produce a standard operating procedure checklist for AI agents to validate API endpoint implementations."

Tips & gotchas

Ensure your source code repository is properly indexed or contextually described so the generated checklist remains relevant to your specific tech stack. This skill complements, rather than replaces, human oversight for complex architectural decisions.