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Code Review Ai Ai Review

Checked
rmyndharis·vlatest·backend·MIT

Helps with code review, AI as part of developing backend services and APIs workflows.

Repository

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 rmyndharis/antigravity-skills --skill code-review-ai-ai-review -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

rmyndharis

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 rmyndharis/antigravity-skills at 3eff4af253.

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

Commit
3eff4af253
Manifest
skills/code-review-ai-ai-review/SKILL.md
Scanned
1 file, 430 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 provides automated code review capabilities for backend development. It analyzes code, identifies potential bugs and style issues, and suggests improvements to enhance code quality and maintainability. The AI agent can be used to streamline the code review process, freeing up developers' time for more complex tasks.

When to use it

  • Before submitting a pull request: Ensure your code meets established standards before sharing with the team.
  • For repetitive coding tasks: Automate reviews of frequently modified files or modules.
  • Onboarding new developers: Provide consistent feedback and guidance on coding practices.
  • During refactoring efforts: Verify that changes maintain code quality and don't introduce regressions.

Key capabilities

  • Automated bug detection
  • Style guide enforcement
  • Code improvement suggestions
  • Backend development focus

Example prompts

  • "Review this Python file for potential errors."
  • "Check this JavaScript code against our team’s style guide."
  • "Suggest improvements to this Java function's efficiency."

Tips & gotchas

The skill is specifically designed for backend code. Ensure the provided code adheres to common coding practices and conventions for optimal results.