Skip to content
TrustedSkillsbeta
Back to all skills

Code Review

Checked
jackspace·vlatest·backend·MIT

Automated code review focusing on Python/Node.js backend logic, security vulnerabilities, and adherence to style guides.

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 jackspace/claudeskillz --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

jackspace

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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/code-review_mrgoonie/SKILL.md
Scanned
2 files, 163 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. It analyzes provided code snippets, identifies potential issues like bugs, style violations, and security vulnerabilities, and offers suggestions for improvement. The tool aims to improve code quality and reduce the time spent on manual reviews.

When to use it

  • Before submitting a pull request: Quickly identify obvious errors or stylistic inconsistencies before formal review.
  • During pair programming: Get an automated second opinion while working collaboratively.
  • For onboarding new developers: Help enforce coding standards and best practices for team members.
  • Reviewing legacy code: Surface potential issues in older, less-maintained codebases.

Key capabilities

  • Automated bug detection
  • Style violation identification
  • Security vulnerability assessment
  • Code improvement suggestions

Example prompts

  • "Please review this Python function for potential bugs and style violations: [code snippet]"
  • "Can you check this JavaScript code for security vulnerabilities? [code snippet]"
  • "Review the following C++ code and suggest improvements: [code snippet]"

Tips & gotchas

The quality of the review depends heavily on the clarity and completeness of the provided code. Ensure the code is properly formatted and includes any necessary context for accurate analysis.