About

Imported from mukul975/anthropic-cybersecurity-skills (skills/implementing-vulnerability-management-with-greenbone/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill implementing-vulnerability-management-with-greenbone. Copyright stays with the author (Apache-2.0).

Implementing Vulnerability Management with Greenbone

Name: implementing-vulnerability-management-with-greenbone
Author: mukul975

Overview

Greenbone Vulnerability Management (GVM) is the open-source framework behind OpenVAS, providing comprehensive vulnerability scanning with over 100,000 Network Vulnerability Tests (NVTs). The python-gvm library provides a Python API to interact with GVM through the Greenbone Management Protocol (GMP), enabling programmatic creation of scan targets, task management, scan execution, and report retrieval. This skill covers connecting to GVM via Unix socket or TLS, authenticating, creating scan configs and targets, launching scans, and parsing XML-based vulnerability reports to produce actionable findings.

When to Use

When deploying or configuring implementing vulnerability management with greenbone capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

Prerequisites

Greenbone Community Edition or Greenbone Enterprise Appliance installed
Python 3.9+ with python-gvm (pip install python-gvm)
GMP access credentials (username/password)
Network connectivity to GVM daemon (Unix socket or TCP/TLS)
Understanding of CVSS scoring and vulnerability classification

Steps

Install python-gvm: pip install python-gvm
Establish a GMP connection via UnixSocketConnection or TLSConnection
Authenticate with gmp.authenticate(username, password)
Create a target with gmp.create_target(name, hosts=[...], port_list_id=...)
Create a scan task with gmp.create_task(name, config_id, target_id, scanner_id)
Start the scan with gmp.start_task(task_id)
Monitor scan progress with gmp.get_task(task_id)
Retrieve results with gmp.get_report(report_id, report_format_id=...)
Parse the XML report for vulnerabilities, CVSS scores, and affected hosts
Generate a JSON summary report with severity distribution and remediation priorities

Expected Output

A JSON report containing total vulnerabilities found, severity breakdown (critical/high/medium/low), per-host findings with CVE references and CVSS scores, and scan metadata including duration and NVT feed version.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/mukul975-anthropic-cybersecurity-skills-implementing-vul-eb5135/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

mukul975-anthropic-cybersecurity-skills-implementing-vul-eb5135.ocm.jsonjson

{
  "ocm": "1",
  "id": "mukul975-anthropic-cybersecurity-skills-implementing-vul-eb5135",
  "kind": "skill",
  "name": "implementing-vulnerability-management-with-greenbone",
  "description": "Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library over the Greenbone Management Protocol (GMP) to connect via Unix socket or TLS, create scan targets and configs, execute scans, and parse the XML scan reports into actionable findings. Use when automating OpenVAS/GVM scan creation and execution, or programmatically retrieving and parsing vulnerability scan reports.",
  "publisher": "mukul975",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "openvas",
      "greenbone",
      "vulnerability-scanning",
      "gmp",
      "python-gvm",
      "vulnerability-management",
      "compliance",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library over the Greenbone Management Protocol (GMP) to connect via Unix socket or TLS, create scan targets and configs, execute scans, and parse the XML scan reports into actionable findings. Use when automating OpenVAS/GVM scan creation and execution, or programmatically retrieving and parsing vulnerability scan reports."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/mukul975/anthropic-cybersecurity-skills",
      "path": "skills/implementing-vulnerability-management-with-greenbone/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/implementing-vulnerability-management-with-greenbone/SKILL.md",
      "key": "mukul975/anthropic-cybersecurity-skills/skills/implementing-vulnerability-management-with-greenbone/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Implementing Vulnerability Management with Greenbone\n\n## Overview\n\nGreenbone Vulnerability Management (GVM) is the open-source framework behind OpenVAS, providing comprehensive vulnerability scanning with over 100,000 Network Vulnerability Tests (NVTs). The python-gvm library provides a Python API to interact with GVM through the Greenbone Management Protocol (GMP), enabling programmatic creation of scan targets, task management, scan execution, and report retrieval. This skill covers connecting to GVM via Unix socket or TLS, authenticating, creating scan configs and targets, launching scans",
  "cost": {
    "context_tokens": 572
  }
}

Fetch it by URL: GET /api/v1/registry/mukul975-anthropic-cybersecurity-skills-implementing-vul-eb5135/manifest?version=1.0.0

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