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Agent skill

Implementing Vulnerability Management With Greenbone

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

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…

Apache-2.0Auto-check passedSecurity

Install Implementing Vulnerability Management With Greenbone

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-vulnerability-management-with-greenbone --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-vulnerability-management-with-greenbone .claude/skills/implementing-vulnerability-management-with-greenbone && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-vulnerability-management-with-greenbone
GitHub stars
34k
Token cost
~778 tokens
SKILL.md length
272 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 10 steps: Install python-gvm: pip install python-gvm → Establish a GMP connection via… → Authenticate with… → …
  • Automating OpenVAS/GVM scan creation and execution
  • SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
  • Runs Python scripts from its folder; calls pip

What it does

Implementing Vulnerability Management With Greenbone is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Vulnerability scanning. It works with Python. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Automating OpenVAS/GVM scan creation and execution
  • Programmatically retrieving and parsing vulnerability scan reports

Example prompts

  • “/implementing-vulnerability-management-with-greenbone”

Requirements

  • Python 3

Workflow steps

10 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing Vulnerability Management With Greenbone loads about 778 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 272 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~115
When it runs · the whole SKILL.md, loaded when a task matches
~778
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 272 words, ~778 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-vulnerability-management-with-greenbone/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
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.
domain
cybersecurity
subdomain
vulnerability-management
tags
openvas, greenbone, vulnerability-scanning, gmp, python-gvm, vulnerability-management, compliance
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
ID.RA-01, ID.RA-02, ID.IM-02, ID.RA-06
mitre_attack
T1190, T1203, T1068, T1046

Implementing Vulnerability Management with Greenbone

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

  1. Install python-gvm: pip install python-gvm
  2. Establish a GMP connection via UnixSocketConnection or TLSConnection
  3. Authenticate with gmp.authenticate(username, password)
  4. Create a target with gmp.create_target(name, hosts=[...], port_list_id=...)
  5. Create a scan task with gmp.create_task(name, config_id, target_id, scanner_id)
  6. Start the scan with gmp.start_task(task_id)
  7. Monitor scan progress with gmp.get_task(task_id)
  8. Retrieve results with gmp.get_report(report_id, report_format_id=...)
  9. Parse the XML report for vulnerabilities, CVSS scores, and affected hosts
  10. 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.

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/implementing-vulnerability-management-with-greenbone of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing Vulnerability Management With Greenbone next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementing Vulnerability Management With Greenbone compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing Vulnerability Management With Greenbone this skillmukul975/Anthropic-Cybersecurity-Skills34k—~778Automated safety check: PassApache-2.0
Security AuditTheDecipherist/claude-code-mastery550—~1.3kAutomated safety check: NotesMIT
Sca TrivyAgentSecOps/SecOpsAgentKit2202 repos~3.7kAutomated safety check: PassCustom licence
Docker Scout AuditHabitat-Thinking/ai-literacy-superpowers114—~2kAutomated safety check: PassCustom licence
Security Auditoreigent-ai/eigent15k—~1.8kAutomated safety check: NotesApache-2.0
CodeQL Security Scantrailofbits/skills7.4k—~4.6kAutomated safety check: NotesCC-BY-SA-4.0

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Works with

Categories

Questions about Implementing Vulnerability Management With Greenbone

What does Implementing Vulnerability Management With Greenbone do?

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…. Implementing Vulnerability Management With Greenbone is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. 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.

When should I use Implementing Vulnerability Management With Greenbone?

Implementing Vulnerability Management With Greenbone fits situations like: automating OpenVAS/GVM scan creation and execution; programmatically retrieving and parsing vulnerability scan reports.

How do I install Implementing Vulnerability Management With Greenbone in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone -a claude-code`. Or copy the skill folder (skills/implementing-vulnerability-management-with-greenbone in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-vulnerability-management-with-greenbone in your project. Claude Code loads it when a task matches its description.

How do I install Implementing Vulnerability Management With Greenbone in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone -a codex`. Or copy the skill folder (skills/implementing-vulnerability-management-with-greenbone in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-vulnerability-management-with-greenbone in your project. Codex loads it when a task matches its description.

Can I use Implementing Vulnerability Management With Greenbone in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-vulnerability-management-with-greenbone, .gemini/skills/implementing-vulnerability-management-with-greenbone, .github/skills/implementing-vulnerability-management-with-greenbone and .opencode/skills/implementing-vulnerability-management-with-greenbone in your project.

What does Implementing Vulnerability Management With Greenbone need to run?

Going by SKILL.md and its folder, Implementing Vulnerability Management With Greenbone needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Implementing Vulnerability Management With Greenbone access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Implementing Vulnerability Management With Greenbone safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing Vulnerability Management With Greenbone use?

Implementing Vulnerability Management With Greenbone is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing Vulnerability Management With Greenbone use?

About 778 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 633 tokens, read only when the agent opens those files.

What are the alternatives to Implementing Vulnerability Management With Greenbone?

Skills that share tags, products or a category with Implementing Vulnerability Management With Greenbone: Security Audit (TheDecipherist/claude-code-mastery, 550 stars), Sca Trivy (AgentSecOps/SecOpsAgentKit, 220 stars), Docker Scout Audit (Habitat-Thinking/ai-literacy-superpowers, 114 stars) and Security Auditor (eigent-ai/eigent, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing Vulnerability Management With Greenbone?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.