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Agent Code Analyzer

Checked
ruvnet·vlatest·agents·MIT

Analyzes code for bugs, vulnerabilities, and style issues using advanced static analysis techniques.

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 ruvnet/ruflo --skill agent-code-analyzer --full-depth -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

ruvnet

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 ruvnet/ruflo at b636802d8c.

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

Scanned
1 file, 209 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

The ruvnet-agent-code-analyzer skill analyzes code provided to an AI agent. It identifies potential bugs, security vulnerabilities, and style issues within the code. The tool aims to improve code quality and reduce errors by providing actionable feedback directly to the agent.

When to use it

  • Debugging Assistance: When an AI agent is generating code that isn't working as expected, use this skill to identify the root cause of the error.
  • Security Review: Before deploying code generated by an AI agent into a production environment, analyze it for potential security risks.
  • Code Style Enforcement: Ensure consistency and adherence to coding standards in AI-generated codebases.
  • Learning Tool: Help agents learn better coding practices by providing feedback on their output.

Key capabilities

  • Bug detection
  • Security vulnerability identification
  • Style issue analysis

Example prompts

  • "Analyze this Python code for potential errors: [code snippet]"
  • "Can you review this JavaScript function and identify any security vulnerabilities? [code snippet]"
  • "Check the style of this C++ code and suggest improvements. [code snippet]"

Tips & gotchas

The skill's effectiveness depends on the quality and clarity of the provided code. It is designed to work with common programming languages, but results may vary depending on the language and complexity of the code.