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Code Review

Checked
siviter-xyz·vlatest·backend·MIT

Automates backend code reviews, identifying potential bugs, security vulnerabilities, and style inconsistencies using established best practices.

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 siviter-xyz/dot-agent --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

siviter-xyz

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 siviter-xyz/dot-agent at 33762551d4.

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

Commit
33762551d4
Manifest
skills/code-review/SKILL.md
Scanned
4 files, 234 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

The code-review skill enables AI agents to analyze source code, identify logical errors, and suggest improvements based on best practices. It supports multiple programming languages and can integrate with version control systems for automated feedback loops.

When to use it

  • Before merging pull requests to catch bugs early in the development cycle.
  • During refactoring sessions to ensure legacy code meets modern security standards.
  • When onboarding new developers to validate their understanding of project architecture.
  • For continuous integration pipelines to automatically flag performance bottlenecks.

Key capabilities

  • Parses various programming languages including Python, JavaScript, and Go.
  • Detects common vulnerabilities like SQL injection or hardcoded credentials.
  • Provides actionable suggestions for code optimization and readability.
  • Integrates with Git workflows for seamless inline comments.

Example prompts

"Review this Python function for potential race conditions."
"Analyze the provided React component for accessibility issues."
"Suggest performance optimizations for this database query in a Node.js application."

Tips & gotchas

Ensure your AI agent has access to the full context of the codebase, as isolated snippets may lead to incomplete reviews. This skill works best when paired with automated testing frameworks to validate proposed fixes immediately.