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Code Review

Checked
popup-studio-ai·vlatest·backend·Apache-2.0

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

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 ww-w-ai/bkit-claude-code --skill code-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

popup-studio-ai

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 popup-studio-ai/bkit-claude-code at dd1b62e1a8.

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

Scanned
1 file, 124 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, popup-studio-ai-code-review, provides automated code review capabilities using AI. It analyzes provided code snippets and offers suggestions for improvements based on best practices and potential errors. The tool aims to enhance code quality by identifying stylistic issues, bugs, and areas for optimization.

When to use it

  • Before submitting a pull request: Quickly identify and address common coding mistakes before sharing your work with others.
  • Learning new languages or frameworks: Get feedback on your code as you learn, ensuring you're adhering to established conventions.
  • Refactoring existing code: Identify areas where code can be improved for readability and maintainability.
  • Pair programming alternative: Use the skill to get an initial review before discussing with a human colleague.

Key capabilities

  • Code analysis
  • Bug detection
  • Style guide adherence
  • Optimization suggestions

Example prompts

  • "Review this Python code for potential errors and style issues: [code snippet]"
  • "Can you provide feedback on the efficiency of this JavaScript function? [code snippet]"
  • "Analyze this Go code and suggest improvements based on best practices. [code snippet]"

Tips & gotchas

The quality of the review depends heavily on the clarity and completeness of the provided code. Ensure that any necessary context or dependencies are included for accurate analysis.