[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6AFEXJD0YX171MA1SXE8SMH":3,"skill-same:01M6AFEXJD0YX171MA1SXE8SMH":97},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":61,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6AFEXJD0YX171MA1SXE8SMH","implementing-vulnerability-management-with-greenbone",null,"Deploy and operate Greenbone\u002FOpenVAS 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\u002FGVM scan creation and execution, or programmatically retrieving and parsing vulnerability scan reports.","mukul975\u002FAnthropic-Cybersecurity-Skills","mukul975","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F42860185?v=4","01M6ADEQR8T5M4EEG6C67BQCWF","Mahipal","01M6ADJPMYWG1E5GM1FWBE3128",35990,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-vulnerability-management-with-greenbone\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"implementing vulnerability management with greenbone","vulnerability management","compliance","python-gvm","gmp","greenbone","execution","tls","openvas","vulnerability-scanning","vulnerability-management","python","library","xml","protocol","create","connect","deploy","cybersecurity","2026-11-10 10:12:30",false,"---\nname: implementing-vulnerability-management-with-greenbone\ndescription: Deploy and operate Greenbone\u002FOpenVAS vulnerability management using the\n  python-gvm library over the Greenbone Management Protocol (GMP) to connect via\n  Unix socket or TLS, create scan targets and configs, execute scans, and parse the\n  XML scan reports into actionable findings. Use when automating OpenVAS\u002FGVM scan\n  creation and execution, or programmatically retrieving and parsing vulnerability\n  scan reports.\ndomain: cybersecurity\nsubdomain: vulnerability-management\ntags:\n- openvas\n- greenbone\n- vulnerability-scanning\n- gmp\n- python-gvm\n- vulnerability-management\n- compliance\nversion: '1.0'\nauthor: mahipal\nlicense: Apache-2.0\nnist_csf:\n- ID.RA-01\n- ID.RA-02\n- ID.IM-02\n- ID.RA-06\nmitre_attack:\n- T1190\n- T1203\n- T1068\n- T1046\n---\n# 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, and parsing XML-based vulnerability reports to produce actionable findings.\n\n\n## When to Use\n\n- When deploying or configuring implementing vulnerability management with greenbone capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\n\n## Prerequisites\n\n- Greenbone Community Edition or Greenbone Enterprise Appliance installed\n- Python 3.9+ with `python-gvm` (`pip install python-gvm`)\n- GMP access credentials (username\u002Fpassword)\n- Network connectivity to GVM daemon (Unix socket or TCP\u002FTLS)\n- Understanding of CVSS scoring and vulnerability classification\n\n## Steps\n\n1. Install python-gvm: `pip install python-gvm`\n2. Establish a GMP connection via `UnixSocketConnection` or `TLSConnection`\n3. Authenticate with `gmp.authenticate(username, password)`\n4. Create a target with `gmp.create_target(name, hosts=[...], port_list_id=...)`\n5. Create a scan task with `gmp.create_task(name, config_id, target_id, scanner_id)`\n6. Start the scan with `gmp.start_task(task_id)`\n7. Monitor scan progress with `gmp.get_task(task_id)`\n8. Retrieve results with `gmp.get_report(report_id, report_format_id=...)`\n9. Parse the XML report for vulnerabilities, CVSS scores, and affected hosts\n10. Generate a JSON summary report with severity distribution and remediation priorities\n\n## Expected Output\n\nA JSON report containing total vulnerabilities found, severity breakdown (critical\u002Fhigh\u002Fmedium\u002Flow), per-host findings with CVE references and CVSS scores, and scan metadata including duration and NVT feed version.\n","# 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, and parsing XML-based vulnerability reports to produce actionable findings.\n\n\n## When to Use\n\n- When deploying or configuring implementing vulnerability management with greenbone capabilities in your environment\n- When establishing security controls aligned to compliance requirements\n- When building or improving security architecture for this domain\n- When conducting security assessments that require this implementation\n\n## Prerequisites\n\n- Greenbone Community Edition or Greenbone Enterprise Appliance installed\n- Python 3.9+ with `python-gvm` (`pip install python-gvm`)\n- GMP access credentials (username\u002Fpassword)\n- Network connectivity to GVM daemon (Unix socket or TCP\u002FTLS)\n- Understanding of CVSS scoring and vulnerability classification\n\n## Steps\n\n1. Install python-gvm: `pip install python-gvm`\n2. Establish a GMP connection via `UnixSocketConnection` or `TLSConnection`\n3. Authenticate with `gmp.authenticate(username, password)`\n4. Create a target with `gmp.create_target(name, hosts=[...], port_list_id=...)`\n5. Create a scan task with `gmp.create_task(name, config_id, target_id, scanner_id)`\n6. Start the scan with `gmp.start_task(task_id)`\n7. Monitor scan progress with `gmp.get_task(task_id)`\n8. Retrieve results with `gmp.get_report(report_id, report_format_id=...)`\n9. Parse the XML report for vulnerabilities, CVSS scores, and affected hosts\n10. Generate a JSON summary report with severity distribution and remediation priorities\n\n## Expected Output\n\nA JSON report containing total vulnerabilities found, severity breakdown (critical\u002Fhigh\u002Fmedium\u002Flow), per-host findings with CVE references and CVSS scores, and scan metadata including duration and NVT feed version.\n",{"name":5,"tags":43,"author":44,"domain":37,"license":15,"version":45,"nist_csf":46,"subdomain":29,"description":7,"mitre_attack":51},[27,24,28,23,22,29,21],"mahipal","1.0",[47,48,49,50],"ID.RA-01","ID.RA-02","ID.IM-02","ID.RA-06",[52,53,54,55],"T1190","T1203","T1068","T1046","main","54a798831d2266a3ca61ce68a7acb80b81160d57","skills\u002Fimplementing-vulnerability-management-with-greenbone",4395,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills","https:\u002F\u002Fmahipal.engineer\u002FAnthropic-Cybersecurity-Skills\u002F","https:\u002F\u002Fgithub.com\u002Fmukul975","Mahipal.engineer","🔐 Cybersecurity | 💻 Dev | 📷 Street Photographer\r\n🎓 MSc | 📚 Research & AI Security","2026-08-31 12:32:44",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone",{"tool":72,"command":73},"bunx","bunx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone",{"tool":75,"command":76},"pnpm","pnpm dlx skills add mukul975\u002FAnthropic-Cybersecurity-Skills --skill implementing-vulnerability-management-with-greenbone","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-vulnerability-management-with-greenbone\u002FSKILL.md",true,[80,85,91],{"path":81,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"LICENSE","许可证",11255,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-vulnerability-management-with-greenbone\u002FLICENSE",{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fapi-reference.md","REFERENCE","参考文档",2531,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-vulnerability-management-with-greenbone\u002Freferences\u002Fapi-reference.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Fagent.py","SCRIPT","脚本",6040,"https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fimplementing-vulnerability-management-with-greenbone\u002Fscripts\u002Fagent.py",[98,129,153,180,206,231],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":109,"publishedAt":38},"01M6AGDM3HJXTKXX15ZZ0ZVCJ3","verifying-build-provenance-with-slsa-sigstore","Verifies artifact signatures and SLSA provenance using Sigstore's cosign (verify, verify-attestation, verify-blob-attestation) and slsa-verifier (verify-artifact), enforcing keyless OIDC builder identity and source repo against SLSA Build levels. Use in CI\u002FCD before deploying artifacts, when consuming third-party attestations, establishing a SLSA Build L3 pipeline, or confirming provenance during incident response or admission control.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fverifying-build-provenance-with-slsa-sigstore\u002FSKILL.md",[104],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[110,111,112,113,114,37,115,116,117,118,119,120,121,122,123,124,125,126,127,128],"sigstore","provenance","slsa","verifying build provenance with slsa sigstore","security","incident response","identity","pr","code","artifacts","ci","supply-chain","pipeline","supply-chain-security","t1195","attestation","code-signing","cosign","keyless",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":136,"publishedAt":38},"01M6AGDGBPWYVZ2F11GFKJ4HZ9","validating-tpm-measured-boot-attestation","Verifies TPM 2.0 measured-boot integrity and remote attestation with tpm2-tools -- reading PCRs (tpm2_pcrread), replaying the boot event log, generating and checking signed quotes (tpm2_quote\u002Ftpm2_checkquote), and sealing secrets to a PCR policy. Use to confirm a system booted trusted firmware\u002Fkernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-tpm-measured-boot-attestation\u002FSKILL.md",[135],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},[137,125,138,139,114,140,37,117,141,142,143,144,145,146,147,148,149,150,151,152],"boot","TPM","validating tpm measured boot attestation","policy","verification","ZeRO","firmware","Tools","measured-boot","PCR","integrity","secrets","remote-attestation","tpm2-tools","integrity-verification","trusted-computing",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":163,"publishedAt":38},"01M6AGDCW0Y4FXZ3362GT1941M","validating-backup-integrity-for-recovery","Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. Use before relying on backups for recovery, when building post-backup validation pipelines, auditing backup infrastructure for compliance, or checking immutable\u002Fair-gapped backups for silent corruption or tampering.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fvalidating-backup-integrity-for-recovery\u002FSKILL.md",[159,162],{"categoryNo":160,"categoryName":161,"taxonomyType":107,"taxonomyTypeDesc":108},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},[147,164,165,166,167,37,168,169,141,21,170,171,172,173,174,175,176,177,178,179],"backup","recovery","validating backup integrity for recovery","testing","infrastructure","validation","hash-verification","incident-response","ransomware","cryptocurrency","detection","t1078","t1490","immutable","disaster-recovery","restore-testing",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":187,"publishedAt":38},"01M6AGD9GBG2KZ336AE763J3WH","triaging-windows-with-kape","Runs KAPE (Kroll Artifact Parser and Extractor) to collect targeted forensic artifacts (registry hives, $MFT, event logs, prefetch, browser data) via Targets and parse them with Modules wrapping Eric Zimmerman's EZ Tools (PECmd, MFTECmd, RECmd). Use during early incident containment\u002Ftriage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-windows-with-kape\u002FSKILL.md",[186],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},[188,189,190,37,191,192,193,194,195,196,197,198,199,200,201,202,144,203,204,205],"windows","kape","triaging windows with kape","registry","browser","logs","windows-forensics","dfir","mft","mftecmd","data","prefetch","eric-zimmerman","digital-forensics","SET","collection","pecmd","artifact-collection",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":213,"publishedAt":38},"01M6AGD5PW5J4EVZM958WD74ZQ","triaging-vulnerabilities-with-ssvc-framework","Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track\u002FTrack*\u002FAttend\u002FAct decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-vulnerabilities-with-ssvc-framework\u002FSKILL.md",[212],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},[214,215,216,37,217,218,219,29,220,221,222,27,223,224,225,226,227,228,229,230],"vulnerabilities","framework","triaging vulnerabilities with ssvc framework","status","planning","CISA","risk-management","nessus","qualys","cvss","remediation","risk","vulnerability","api","prioritization","ssvc","decision-tree",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":235,"categories":236,"keywords":238,"publishedAt":38},"01M6AGD24TTQQM4CXG69E3B9TJ","triaging-security-incident","Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM\u002FEDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Ftriaging-security-incident\u002FSKILL.md",[237],{"categoryNo":105,"categoryName":106,"taxonomyType":107,"taxonomyTypeDesc":108},[114,239,37,240,241,242,243,244,245,246,247,175,25,176,248,249,250,251,252,253],"triaging security incident","siem","file","ioc","soc","NIST-800-61","NIST","severity","edr","analysis","classification","severity-classification","incident-triage","SANS-PICERL","SOC-operations"]