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Agent Code Analyzer

Checked
ruvnet·vlatest·agents·MIT

Analyzes code snippets for potential bugs, security vulnerabilities, and style inconsistencies using advanced static analysis techniques.

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 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/claude-flow at 49da6ecc44.

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

Commit
49da6ecc44
Manifest
.agents/skills/agent-code-analyzer/SKILL.md
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

This skill analyzes code snippets provided to it, identifying potential errors and suggesting improvements. It can assess code quality based on common best practices and coding standards. The tool is designed to help developers quickly understand and debug code without needing to execute it.

When to use it

  • Debugging: Quickly identify potential issues in a block of code before running it.
  • Code Review: Get an automated initial assessment of code changes during development.
  • Learning: Understand how experienced programmers might improve your coding style and efficiency.
  • Refactoring: Identify areas where existing code can be simplified or optimized.

Key capabilities

  • Error identification
  • Suggestion generation for improvement
  • Code quality assessment based on best practices
  • Coding standard adherence check

Example prompts

  • "Analyze this Python code and suggest improvements: def my_function(a,b): return a+ b"
  • "Can you review this JavaScript snippet for potential errors? console.log('Hello world')"
  • "Assess the quality of this C++ function."

Tips & gotchas

The skill's effectiveness depends on the clarity and completeness of the code provided. While it can identify common issues, complex or domain-specific problems may require human expertise.