Write Cve Rule
evdenis/cvehound
Write, debug, or validate a CVEhound detection rule (.cocci or .grep) for a Linux kernel CVE.
Agent skill
Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities…
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .claude/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvasType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performing-authenticated-scan-with-openvas .agents/skills/performing-authenticated-scan-with-openvas && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .agents/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performing-authenticated-scan-with-openvas .cursor/skills/performing-authenticated-scan-with-openvas && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .cursor/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/performing-authenticated-scan-with-openvas--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performing-authenticated-scan-with-openvas .gemini/skills/performing-authenticated-scan-with-openvas && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .gemini/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvasInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performing-authenticated-scan-with-openvas .github/skills/performing-authenticated-scan-with-openvas && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .github/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-authenticated-scan-with-openvas -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-authenticated-scan-with-openvas --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performing-authenticated-scan-with-openvas .opencode/skills/performing-authenticated-scan-with-openvas && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performing-authenticated-scan-with-openvas" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-authenticated-scan-with-openvas into .opencode/skills/performing-authenticated-scan-with-openvas/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-authenticated-scan-with-openvas", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performing-authenticated-scan-with-openvasConfigure 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. 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.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
dockeraptcurlpython3From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
greenbone.github.ioAlso links to:
github.comopenvas.orgFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
The automated check found patterns that need a careful read before installing.
sudo apt update && sudo apt install -y gvmsudo gvm-setupsudo gvm-check-setupsudo gvm-starte><![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.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 247 words, ~2,314 tokens.
.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.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.
# 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# 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"# 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>'# 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>'# 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>'# 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>'| Config Name | OID | Use Case |
|---|---|---|
| Full and fast | daba56c8-73ec-11df-a475-002264764cea | Standard production scan |
| Full and deep | 708f25c4-7489-11df-8094-002264764cea | Thorough scan, may be disruptive |
| System Discovery | 8715c877-47a0-438d-98a3-27c7a6ab2196 | Host and service enumeration |
# 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>'# 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"/>'# 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>'# 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)}')
"# 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"/>'© 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
SKILL.md and 7 other files (scripts, references, assets) in skills/performing-authenticated-scan-with-openvas of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performing Authenticated Scan With Openvas this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.3k | Automated safety check: Warn | Apache-2.0 | |
| Write Cve Ruleevdenis/cvehound | 138 | — | ~2.5k | Automated safety check: Pass | GPL-3.0 | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Host Cve Validatorinfometa/workbuddyskills | 348 | — | ~1.8k | Automated safety check: Notes | Proprietary | |
| Kernel Securitymohitmishra786/low-level-dev-skills | 252 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Defender For Containersvinayaklatthe/microsoft-security-skills | 175 | — | ~2.1k | Automated safety check: Pass | MIT |
evdenis/cvehound
Write, debug, or validate a CVEhound detection rule (.cocci or .grep) for a Linux kernel CVE.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
infometa/workbuddyskills
主机安全CVE漏洞修复验证引擎。从主机漏扫报告(Excel)或CVE编号自动提取漏洞,查询威胁情报(NVD/EPSS/MSRC/OVAL),生成修复脚本(fix.sh/fix.ps1),SSH验证脚本可执行性,产出修复验证报告。覆盖 Linux(centos/ubuntu/debian/suse/amazon/fedora/alpine/arch) + Windows + Web-CMS…
mohitmishra786/low-level-dev-skills
Linux kernel security skill for LSM, hardening, and exploit mitigations.
vinayaklatthe/microsoft-security-skills
Guidance for Microsoft Defender for Containers — Kubernetes and container security across AKS, Azure Arc-enabled Kubernetes, EKS, GKE, and OpenShift.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 内核态 CVE 漏洞检测与 PoC 验证工具,专为 AI Agent 设计. An agent skill from aliyun/alibabacloud-ecs-troubleshoot-skills.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Works with
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.