external/anthropic-cybersecurity-skills/skills/implementing-vulnerability-management-with-greenbone/SKILL.md
Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library to create scan targets, execute vulnerability scans, and parse scan reports via GMP protocol.
npx skillsauth add seikaikyo/dash-skills implementing-vulnerability-management-with-greenboneInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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.
python-gvm (pip install python-gvm)pip install python-gvmUnixSocketConnection or TLSConnectiongmp.authenticate(username, password)gmp.create_target(name, hosts=[...], port_list_id=...)gmp.create_task(name, config_id, target_id, scanner_id)gmp.start_task(task_id)gmp.get_task(task_id)gmp.get_report(report_id, report_format_id=...)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.
tools
Zero-Knowledge Proofs (ZKPs) allow a prover to demonstrate knowledge of a secret (such as a password or private key) without revealing the secret itself. This skill implements the Schnorr identificati
development
Configure ModSecurity WAF with OWASP Core Rule Set (CRS) for web application logging, tune rules to reduce false positives, analyze audit logs for attack detection, and implement custom SecRules for application-specific threats. The analyst configures SecRuleEngine, SecAuditEngine, and CRS paranoia levels to balance security coverage with operational stability. Activates for requests involving WAF configuration, ModSecurity rule tuning, web application audit logging, or CRS deployment.
development
Build automated alerting for vulnerability remediation SLA breaches with severity-based timelines, escalation workflows, and compliance reporting dashboards.
testing
Vulnerability remediation SLAs define mandatory timeframes for patching or mitigating identified vulnerabilities based on severity, asset criticality, and exploit availability. Effective SLA programs