Agent skill

Performing Authenticated Scan With Openvas

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities…

Apache-2.0Auto-check: warningsSecurity

Install Performing Authenticated Scan With Openvas

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a claude-code

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

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --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/performing-authenticated-scan-with-openvas .claude/skills/performing-authenticated-scan-with-openvas && 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
performing-authenticated-scan-with-openvas
GitHub stars
34k
Token cost
~2.3k tokens
SKILL.md length
247 words
Files
8 (incl. scripts, references, assets)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities…

  • A host-level scan needs to log into systems for deep inspection
  • SKILL.md covers Overview, When to Use, Prerequisites and Installation, plus 7 more sections
  • Runs Python scripts from its folder; calls docker, apt and curl; reaches greenbone.github.io
  • Since authenticated scans typically surface 10-50x more findings than unauthenticated scans

What it does

Performing Authenticated Scan With Openvas is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities, missing patches, and misconfigurations on target hosts. Use when a host-level scan needs to log into systems for deep inspection, since authenticated scans typically surface 10-50x more findings than unauthenticated scans.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).

It sits in Security, covering Vulnerability scanning. It works with Linux. 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

  • A host-level scan needs to log into systems for deep inspection
  • Since authenticated scans typically surface 10-50x more findings than unauthenticated scans

Example prompts

  • “/performing-authenticated-scan-with-openvas”

Requirements

  • Python 3
  • Docker

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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • docker
    • apt
    • curl
    • python3

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • greenbone.github.io

    Also links to:

    • github.com
    • openvas.org

    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

Performing Authenticated Scan With Openvas loads about 2.3k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 247 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
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

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: warnings

The automated check found patterns that need a careful read before installing.

  • NoteRuns commands with sudoSKILL.md:62
    sudo apt update && sudo apt install -y gvm
  • NoteRuns commands with sudoSKILL.md:65
    sudo gvm-setup
  • NoteRuns commands with sudoSKILL.md:68
    sudo gvm-check-setup
  • NoteRuns commands with sudoSKILL.md:71
    sudo gvm-start
  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:104
    e><![CDATA['"$(cat /home/scan_user/.ssh/id_rsa)"']]></private>

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). 247 words, ~2,314 tokens.

Download SKILL.mdSave it as .claude/skills/performing-authenticated-scan-with-openvas/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
performing-authenticated-scan-with-openvas
description
Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities, missing patches, and misconfigurations on target hosts. Use when a host-level scan needs to log into systems for deep inspection, since authenticated scans typically surface 10-50x more findings than unauthenticated scans.
domain
cybersecurity
subdomain
vulnerability-management
tags
openvas, gvm, authenticated-scan, vulnerability-scanning, greenbone, network-security, credentialed-scan
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, T1003, T1110

Performing Authenticated Scan with OpenVAS

Overview

OpenVAS (Open Vulnerability Assessment Scanner) is the scanner component of the Greenbone Vulnerability Management (GVM) framework. Authenticated scans use valid credentials (SSH for Linux, SMB for Windows, ESXi for VMware) to log into target systems, enabling detection of local vulnerabilities, missing patches, and misconfigurations that unauthenticated scans cannot identify. Authenticated scans typically find 10-50x more vulnerabilities than unauthenticated scans.

When to Use

  • When conducting security assessments that involve performing authenticated scan with openvas
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • GVM 22.x+ installed (gvmd, openvas-scanner, gsad, ospd-openvas)
  • PostgreSQL database configured for gvmd
  • Redis configured for openvas-scanner
  • NVT feed synchronized (greenbone-nvt-sync or greenbone-feed-sync)
  • SSH credentials for Linux targets or SMB credentials for Windows targets
  • Network access to target hosts on scan ports

Installation

Install GVM on Kali Linux / Debian
bash
# Install GVM package
sudo apt update && sudo apt install -y gvm

# Run initial setup (creates admin account, syncs feeds)
sudo gvm-setup

# Check installation status
sudo gvm-check-setup

# Start all GVM services
sudo gvm-start

# Access Greenbone Security Assistant at https://127.0.0.1:9392
bash
# Pull Greenbone Community Edition containers
docker pull greenbone/gvm:stable

# Run with docker-compose
curl -fsSL https://greenbone.github.io/docs/latest/_static/docker-compose-22.4.yml \
  -o docker-compose.yml

# Start the stack
docker compose -f docker-compose.yml -p greenbone-community-edition up -d

# Wait for feed sync (initial sync takes 15-30 minutes)
docker compose -f docker-compose.yml -p greenbone-community-edition \
  logs -f gvmd 2>&1 | grep -i "feed"

Configuring Credentials

SSH Credentials for Linux Targets
bash
# Using gvm-cli to create SSH credential with key-based auth
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Linux SSH Key</name>
    <type>usk</type>
    <login>scan_user</login>
    <key>
      <private><![CDATA['"$(cat /home/scan_user/.ssh/id_rsa)"']]></private>
      <phrase>key_passphrase</phrase>
    </key>
  </create_credential>'

# SSH credential with password authentication
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Linux SSH Password</name>
    <type>up</type>
    <login>scan_user</login>
    <password>scan_password_here</password>
  </create_credential>'
SMB Credentials for Windows Targets
bash
# Create SMB credential for Windows authenticated scanning
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>Windows SMB Cred</name>
    <type>up</type>
    <login>DOMAIN\scan_account</login>
    <password>smb_password_here</password>
  </create_credential>'
ESXi Credentials
bash
# Create ESXi credential for VMware host scanning
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_credential>
    <name>ESXi Root</name>
    <type>up</type>
    <login>root</login>
    <password>esxi_password_here</password>
  </create_credential>'

Creating Scan Targets

bash
# Create target with SSH credential (Linux hosts)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_target>
    <name>Linux Production Servers</name>
    <hosts>192.168.1.10,192.168.1.11,192.168.1.12</hosts>
    <port_list id="33d0cd82-57c6-11e1-8ed1-406186ea4fc5"/>
    <ssh_credential id="CREDENTIAL_UUID_HERE">
      <port>22</port>
    </ssh_credential>
    <alive_test>ICMP, TCP-ACK Service and ARP Ping</alive_test>
  </create_target>'

# Create target with SMB credential (Windows hosts)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_target>
    <name>Windows Domain Controllers</name>
    <hosts>192.168.1.20,192.168.1.21</hosts>
    <port_list id="33d0cd82-57c6-11e1-8ed1-406186ea4fc5"/>
    <smb_credential id="SMB_CREDENTIAL_UUID_HERE"/>
    <alive_test>ICMP, TCP-ACK Service and ARP Ping</alive_test>
  </create_target>'

Scan Configuration

Built-in Scan Configs
Config NameOIDUse Case
Full and fastdaba56c8-73ec-11df-a475-002264764ceaStandard production scan
Full and deep708f25c4-7489-11df-8094-002264764ceaThorough scan, may be disruptive
System Discovery8715c877-47a0-438d-98a3-27c7a6ab2196Host and service enumeration
Create Custom Scan Config for Authenticated Scan
bash
# Clone "Full and fast" config and customize
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_config>
    <copy>daba56c8-73ec-11df-a475-002264764cea</copy>
    <name>Authenticated Full Scan</name>
  </create_config>'

Running the Scan

Create and Start Scan Task
bash
# Create scan task
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_task>
    <name>Weekly Authenticated Scan - Linux Prod</name>
    <config id="CONFIG_UUID"/>
    <target id="TARGET_UUID"/>
    <scanner id="08b69003-5fc2-4037-a479-93b440211c73"/>
  </create_task>'

# Start the scan task
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<start_task task_id="TASK_UUID"/>'

# Check scan progress
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_tasks task_id="TASK_UUID"/>'
Schedule Recurring Scans
bash
# Create weekly schedule (every Sunday at 2:00 AM UTC)
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<create_schedule>
    <name>Weekly Sunday 2AM</name>
    <icalendar>
BEGIN:VCALENDAR
VERSION:2.0
BEGIN:VEVENT
DTSTART:20240101T020000Z
RRULE:FREQ=WEEKLY;BYDAY=SU
DURATION:PT12H
END:VEVENT
END:VCALENDAR
    </icalendar>
    <timezone>UTC</timezone>
  </create_schedule>'

Exporting Results

bash
# Export scan report as XML
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_reports report_id="REPORT_UUID" format_id="a994b278-1f62-11e1-96ac-406186ea4fc5"/>'

# Export as CSV
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_reports report_id="REPORT_UUID" format_id="c1645568-627a-11e3-a660-406186ea4fc5"/>'

# Use python-gvm for programmatic access
python3 -c "
from gvm.connections import UnixSocketConnection
from gvm.protocols.gmp import Gmp
from gvm.transforms import EtreeCheckCommandTransform

connection = UnixSocketConnection(path='/run/gvmd/gvmd.sock')
transform = EtreeCheckCommandTransform()
with Gmp(connection=connection, transform=transform) as gmp:
    gmp.authenticate('admin', 'password')
    reports = gmp.get_reports()
    print(f'Total reports: {len(reports)}')
"

Validating Authentication Success

bash
# Check if credentials were accepted during scan
# In the scan report, look for NVT "Authentication tests" results:
# - OID 1.3.6.1.4.1.25623.1.0.103591 (SSH authentication successful)
# - OID 1.3.6.1.4.1.25623.1.0.90023 (SMB authentication successful)

# Verify via gvm-cli
gvm-cli socket --socketpath /run/gvmd/gvmd.sock --gmp-username admin --gmp-password <password> --xml \
  '<get_results filter="name=SSH rows=10 sort-reverse=severity"/>'

References

© 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 7 other files (scripts, references, assets) in skills/performing-authenticated-scan-with-openvas of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • assets/template.md
  • references/api-reference.md
  • references/standards.md
  • references/workflows.md
  • scripts/agent.py
  • scripts/process.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Performing Authenticated Scan With Openvas 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.

Performing Authenticated Scan With Openvas compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Performing Authenticated Scan With Openvas this skillmukul975/Anthropic-Cybersecurity-Skills34k—~2.3kAutomated safety check: WarnApache-2.0
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Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills148—~2.6kAutomated safety check: NotesApache-2.0
Host Cve Validatorinfometa/workbuddyskills348—~1.8kAutomated safety check: NotesProprietary
Kernel Securitymohitmishra786/low-level-dev-skills252—~1.6kAutomated safety check: PassMIT
Defender For Containersvinayaklatthe/microsoft-security-skills175—~2.1kAutomated safety check: PassMIT

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Works with

Questions about Performing Authenticated Scan With Openvas

What does Performing Authenticated Scan With Openvas do?

Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities…. Performing Authenticated Scan With Openvas is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities, missing patches, and misconfigurations on target hosts.

When should I use Performing Authenticated Scan With Openvas?

Performing Authenticated Scan With Openvas fits situations like: A host-level scan needs to log into systems for deep inspection; since authenticated scans typically surface 10-50x more findings than unauthenticated scans.

How do I install Performing Authenticated Scan With Openvas in Claude Code?

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

How do I install Performing Authenticated Scan With Openvas in Codex?

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

Can I use Performing Authenticated Scan With Openvas 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 performing-authenticated-scan-with-openvas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-authenticated-scan-with-openvas, .gemini/skills/performing-authenticated-scan-with-openvas, .github/skills/performing-authenticated-scan-with-openvas and .opencode/skills/performing-authenticated-scan-with-openvas in your project.

What does Performing Authenticated Scan With Openvas need to run?

Going by SKILL.md and its folder, Performing Authenticated Scan With Openvas needs Python for the scripts in its folder and the command-line tools its instructions call (docker, apt, curl and python3). Our summary lists: Python 3; Docker.

Does Performing Authenticated Scan With Openvas access the network?

SKILL.md names 3 domains. In commands or code: greenbone.github.io; the agent is likely to contact it when it follows the instructions. As links in the text: github.com and openvas.org. This is read from the text; nothing was executed.

Is Performing Authenticated Scan With Openvas safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Performing Authenticated Scan With Openvas use?

Performing Authenticated Scan With Openvas 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 Performing Authenticated Scan With Openvas use?

About 2.3k tokens (SKILL.md is roughly 9.3k 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 2.1k tokens, read only when the agent opens those files.

What are the alternatives to Performing Authenticated Scan With Openvas?

Skills that share tags, products or a category with Performing Authenticated Scan With Openvas: Write Cve Rule (evdenis/cvehound, 138 stars), Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 stars), Host Cve Validator (infometa/workbuddyskills, 348 stars) and Kernel Security (mohitmishra786/low-level-dev-skills, 252 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Performing Authenticated Scan With Openvas?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 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.