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Codebase Auditor

Checked
micheleangioni·vlatest·backend

The Codebase Auditor analyzes your code for potential vulnerabilities and coding style issues, improving security & maintainability.

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 micheleangioni/agent-skills --skill codebase-auditor -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

micheleangioni

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 micheleangioni/agent-skills at 636cce6d77.

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

Scanned
2 files, 335 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 codebase-auditor skill analyzes codebases to identify potential issues. It can detect common coding errors, security vulnerabilities, and style inconsistencies within a given project. This skill helps improve code quality and maintainability by providing actionable feedback on existing code.

When to use it

  • Before merging new code: Use the auditor to ensure proposed changes meet established standards and don't introduce regressions.
  • During refactoring efforts: Identify areas of code that need improvement or modernization.
  • As part of a continuous integration pipeline: Automate codebase checks as part of your development workflow.
  • For onboarding new developers: Quickly assess the quality and style of an existing project.

Key capabilities

  • Code error detection
  • Security vulnerability identification
  • Style consistency checking

Example prompts

  • "Analyze this Python script for potential errors: [paste code]"
  • "Perform a security audit on this JavaScript codebase."
  • "Check this Java file for style inconsistencies against Google coding standards."

Tips & gotchas

The effectiveness of the auditor depends heavily on the quality and clarity of the provided code. Ensure the code is well-formatted and includes sufficient context for accurate analysis.