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Ghost Scan Code

Checked
ghostsecurity·vlatest·security·Apache-2.0

This skill scans source code for hidden vulnerabilities and malicious patterns, enhancing security audits and protecting against stealthy threats.

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 ghostsecurity/skills --skill ghost-scan-code -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

ghostsecurity

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 ghostsecurity/skills at 6ea8e3ba66.

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

Commit
6ea8e3ba66
Manifest
plugins/ghost/skills/scan-code/SKILL.md
Scanned
12 files, 2,121 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 ghost-scan-code skill enables AI agents to analyze and scan code for security vulnerabilities, potential bugs, or compliance issues. It leverages advanced static analysis techniques to identify suspicious patterns, insecure practices, and deviations from best coding standards.

When to use it

  • Before deploying a new application to check for hidden security flaws in the codebase.
  • During code reviews to quickly flag problematic sections of code that may require further inspection.
  • To ensure compliance with internal or industry-specific coding guidelines and regulations.
  • As part of an automated CI/CD pipeline to enforce secure development practices.

Key capabilities

  • Static analysis of source code for security vulnerabilities
  • Detection of common insecure coding patterns
  • Compliance checks against predefined standards
  • Integration with various programming languages

Example prompts

  • "Scan this Python script for potential SQL injection vulnerabilities."
  • "Check the JavaScript files in this repository for compliance with OWASP guidelines."
  • "Analyze the Go codebase and report any memory management issues."

Tips & gotchas

  • Ensure that the code being scanned is accessible and properly formatted for accurate analysis.
  • While the skill identifies potential risks, manual review is still recommended to confirm findings and contextually assess their impact.