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Code Review

Checked
89jobrien·vlatest·backend

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities with detailed explanations.

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 89jobrien/steve --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

89jobrien

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 89jobrien/steve at c0ff044bf0.

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

Commit
c0ff044bf0
Manifest
steve/skills/code-review/SKILL.md
Scanned
3 files, 630 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 performs automated code reviews, identifying potential bugs and style issues within backend code. It analyzes code for common errors like null pointer exceptions, resource leaks, and inefficient algorithms. The tool also enforces coding standards to ensure consistency and readability across a codebase.

When to use it

  • Before merging pull requests: Automatically review changes before they are integrated into the main branch.
  • During refactoring efforts: Ensure that code modifications maintain quality and adhere to established guidelines.
  • For onboarding new developers: Help enforce coding standards and best practices for team members.
  • As part of a CI/CD pipeline: Integrate automated reviews into your continuous integration process.

Key capabilities

  • Automated bug detection
  • Style guide enforcement
  • Resource leak identification
  • Algorithm efficiency analysis

Example prompts

  • "Review this code for potential errors and style violations."
  • "Check this pull request against our team's coding standards."
  • "Analyze this function for resource leaks."

Tips & gotchas

The skill is designed for backend code. Ensure the AI agent has access to the relevant codebase before running a review.