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Security

Checked
openhands·vlatest·security·MIT

Automates vulnerability scanning, threat detection, and incident response using open-source intelligence and machine learning.

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 openhands/extensions --skill security -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

openhands

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 openhands/skills at 9c140e285e.

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

Scanned
3 files, 90 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 provides access to a suite of tools and techniques focused on cybersecurity. It allows AI agents to identify potential vulnerabilities, analyze security risks, and generate reports based on established security frameworks. The tool can also assist in crafting secure code by identifying common coding errors that could lead to exploits.

When to use it

  • Vulnerability Assessment: When needing to evaluate a system or application for potential weaknesses before deployment.
  • Security Auditing: To perform routine checks of existing infrastructure and identify areas for improvement.
  • Secure Coding Practices: During software development to proactively prevent security flaws in code.
  • Incident Response: When investigating a suspected security breach to determine the scope and impact.

Key capabilities

  • Vulnerability identification
  • Risk analysis
  • Security report generation
  • Secure coding assistance

Example prompts

  • "Analyze this website for common vulnerabilities."
  • "Generate a security audit report based on NIST standards for my web application."
  • "Review this Python code snippet and identify potential security flaws."

Tips & gotchas

The skill’s effectiveness depends on the quality of input data; providing accurate system information is crucial. Results should always be reviewed by a human cybersecurity expert, as AI-generated assessments are not a substitute for professional judgment.