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Malicious_Code_Execution_Test

Listed
charpup·vlatest·security

Safely tests provided code snippets for malicious behavior within a sandboxed environment to identify potential risks.

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 charpup/skill-security-auditor --skill malicious_code_execution_test -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

charpup

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 2 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.

  • Declares what it does: failed

    SKILL.md has no YAML frontmatter, so it declares nothing machine-readable.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: failed

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

    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

    api.clawsec.ioundeclaredraw.githubusercontent.comsource hostgithub.comsource host

    What it found

    • config/default.yaml:24contacts api.clawsec.io
      feed_url: https://api.clawsec.io/v1/feed
    • lib/clawsec_integration.py:48contacts api.clawsec.io
      "https://api.clawsec.io/v1/feed"

  • 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 charpup/skill-security-auditor at 086718493c.

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

Commit
086718493c
Manifest
SKILL.md
Scanned
30 files, 3,341 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 tests for potential malicious code execution vulnerabilities in a given codebase. It analyzes provided code snippets or file paths to identify risky patterns and functions that could be exploited. The tool aims to proactively detect and prevent unauthorized access or damage resulting from injected or compromised code.

When to use it

  • Security Audits: Integrate this skill into automated security audit pipelines for new or existing software projects.
  • Code Reviews: Use it during code review processes to highlight potential vulnerabilities before deployment.
  • Vulnerability Research: Employ the tool to investigate suspicious code samples and understand attack vectors.
  • Penetration Testing: Incorporate this skill into penetration testing engagements to identify exploitable weaknesses.

Key capabilities

  • Code analysis for malicious patterns
  • Identification of risky functions
  • Vulnerability detection in code snippets or files
  • Proactive prevention of unauthorized access

Example prompts

  • "Analyze this Python script for potential vulnerabilities: [paste code here]"
  • "Check the 'user_input.php' file for malicious code execution risks."
  • "Can you identify any risky function calls in this JavaScript snippet?"

Tips & gotchas

This skill requires a basic understanding of secure coding practices to properly interpret and address its findings. The results should be reviewed by experienced security professionals, as the tool may produce false positives or miss certain vulnerabilities.