[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:127:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13274,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7775,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39458,[],{"categoryNo":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26531,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13569,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6289,[],{"categoryNo":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4160,229,11,7,828772,"2026-11-13 04:10:52",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437711,"2026-11-13 03:02:05",{"accountNo":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298176,"2026-11-13 03:14:28",{"accountNo":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,242366,"2026-11-13 04:17:09",{"accountNo":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238441,"2026-11-13 03:57:35",{"accountNo":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231826,"2026-11-13 04:18:26",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188014,"2026-11-13 02:38:59",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,174614,"2026-11-13 04:05:07",1926,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196852,{"records":196,"total":194,"current":548,"size":549},[197,236,254,271,292,313,337,359,376,391,408,424,437,460,477,494,520,535],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":209,"categories":210,"keywords":214,"publishedAt":235},"01M6ADNMMXDFXB9X3W81YNVYXJ","analyzing-indicators-of-compromise","Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block\u002Fmonitor\u002Fwhitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.","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\u002Fanalyzing-indicators-of-compromise\u002FSKILL.md",[211],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234],"analyzing indicators of compromise","cybersecurity","security alerts","campaign attribution","monitor","development","create","artifacts","file","email","threat-intelligence","ioc","stix","attribution","phishing","NIST-CSF","VirusTotal","AbuseIPDB","MalwareBazaar","MISP","2026-11-10 10:12:30",{"skillNo":237,"name":238,"nameZh":13,"description":239,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":240,"categories":241,"keywords":242,"publishedAt":235},"01M6ADNHEWDBWB9JYQG865G2EZ","analyzing-heap-spray-exploitation","Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-heap-spray-exploitation\u002FSKILL.md",[],[243,244,245,216,246,247,248,249,250,251,252,253],"analyzing heap spray exploitation","suspicious","memory","plugins","forensics","malware","malware-analysis","memory-forensics","heap-spray","volatility3","exploit-analysis",{"skillNo":255,"name":256,"nameZh":13,"description":257,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":258,"categories":259,"keywords":261,"publishedAt":235},"01M6ADNDX9A3F7T9XAV61ABD3E","analyzing-golang-malware-with-ghidra","Reverse engineer Go-compiled malware in Ghidra by parsing Go buildinfo and pclntab structures, recovering stripped\u002Fobfuscated function names (e.g. via GoResolver), and extracting embedded module\u002Fdependency strings and types from Go binaries. Use when analyzing a Go-language malware sample, deobfuscating a garble-packed Go binary, or recovering function names and third-party dependencies from a stripped Go executable.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-golang-malware-with-ghidra\u002FSKILL.md",[260],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[262,248,263,264,216,265,266,249,267,268,269,270],"golang","analyzing golang malware with ghidra","go","engineering","reverse-engineering","ghidra","binary-analysis","go-malware","disassembly",{"skillNo":272,"name":273,"nameZh":13,"description":274,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":275,"categories":276,"keywords":278,"publishedAt":235},"01M6ADNAC2025KAYRVTXCCHR1G","analyzing-ethereum-smart-contract-vulnerabilities","Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-ethereum-smart-contract-vulnerabilities\u002FSKILL.md",[277],{"categoryNo":44,"categoryName":45,"taxonomyType":6,"taxonomyTypeDesc":7},[279,280,281,216,282,283,284,285,286,287,288,289,290,291],"vulnerabilities","analyzing ethereum smart contract vulnerabilities","security","pr","deployment","audit","ethereum","solidity","smart-contract","slither","mythril","blockchain","defi",{"skillNo":293,"name":294,"nameZh":13,"description":295,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":296,"categories":297,"keywords":302,"publishedAt":235},"01M6ADN76MPXWR676P233WJFVZ","analyzing-email-headers-for-phishing-investigation","Parse and analyze email headers (Received chain, Return-Path, Message-ID) to trace the true origin of a phishing email and validate SPF, DKIM, and DMARC results to confirm or rule out sender spoofing. Use when triaging a suspicious or reported email, investigating a phishing incident, or verifying whether a message's sender domain was spoofed.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-email-headers-for-phishing-investigation\u002FSKILL.md",[298,301],{"categoryNo":299,"categoryName":300,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[224,229,303,244,216,304,305,306,220,221,307,247,308,309,310,311,312],"analyzing email headers for phishing investigation","validate","official","infrastructure","website","email-analysis","spf","dkim","dmarc","header-analysis",{"skillNo":314,"name":315,"nameZh":13,"description":316,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":317,"categories":318,"keywords":326,"publishedAt":235},"01M6ADN3XK7NYSRECSK1KRWB6R","analyzing-docker-container-forensics","Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-docker-container-forensics\u002FSKILL.md",[319,322,325],{"categoryNo":320,"categoryName":321,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":323,"categoryName":324,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[327,247,328,329,330,331,281,216,222,332,333,334,335,336],"docker","analyzing docker container forensics","image","malicious","containers","logs","container-forensics","container-security","image-analysis","runtime-investigation",{"skillNo":338,"name":339,"nameZh":13,"description":340,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":341,"categories":342,"keywords":344,"publishedAt":235},"01M6ADMZNMS4ME6T17Y60G8ACK","analyzing-dns-logs-for-exfiltration","Analyzes DNS query logs to detect data exfiltration via DNS tunneling, DGA domain communication, and covert C2 channels using entropy analysis, query volume anomalies, and subdomain length detection in SIEM platforms. Use when SOC teams need to identify DNS-based threats that bypass traditional network security controls.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-dns-logs-for-exfiltration\u002FSKILL.md",[343],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[332,345,281,346,216,347,348,349,350,351,352,353,354,355,356,357,358],"analyzing dns logs for exfiltration","network security","siem","teams","communication","c2","c2-detection","soc","dns","exfiltration","dns-tunneling","dga","splunk","threat-detection",{"skillNo":360,"name":361,"nameZh":13,"description":362,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":363,"categories":364,"keywords":367,"publishedAt":235},"01M6ADMW2SC1XK0T91H0WJAHAD","analyzing-disk-image-with-autopsy","Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-disk-image-with-autopsy\u002FSKILL.md",[365,366],{"categoryNo":323,"categoryName":324,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[329,368,216,222,369,223,247,370,371,372,373,374,375],"analyzing disk image with autopsy","metadata","dd","autopsy","disk-analysis","sleuth-kit","file-recovery","artifact-analysis",{"skillNo":377,"name":378,"nameZh":13,"description":379,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":380,"categories":381,"keywords":383,"publishedAt":235},"01M6ADMRNKPH6BBHPCTA4YTEVT","analyzing-cyber-kill-chain","Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-cyber-kill-chain\u002FSKILL.md",[382],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[384,281,216,385,225,386,387,388,389,390,230],"analyzing cyber kill chain","framework","kill-chain","Lockheed-Martin","MITRE-ATT&CK","intrusion-analysis","defense-in-depth",{"skillNo":392,"name":393,"nameZh":13,"description":394,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":395,"categories":396,"keywords":398,"publishedAt":235},"01M6ADMN9X7Q295P46NMRQW6CF","analyzing-command-and-control-communication","Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom protocols to reverse-engineer beacon patterns, command structures, data encoding, and infrastructure (primary servers, fallback domains, dead drops). Use after reverse engineering reveals network traffic needing protocol analysis or when building detection signatures for a framework like Cobalt Strike, Metasploit, or Sliver.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-command-and-control-communication\u002FSKILL.md",[397],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[349,399,216,400,306,401,385,402,403,404,265,248,405,350,249,406,407],"analyzing command and control communication","http","protocol","protocols","https","encoding","beacon","command-and-control","protocol-analysis",{"skillNo":409,"name":410,"nameZh":13,"description":411,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":412,"categories":413,"keywords":414,"publishedAt":235},"01M6ADMHGDKK0HG5XVD3FK7T6P","analyzing-cobaltstrike-malleable-c2-profiles","Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP\u002FDNS transforms, URIs, headers, sleep\u002Fjitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-cobaltstrike-malleable-c2-profiles\u002FSKILL.md",[],[350,415,216,400,416,265,417,266,418,248,419,405,249,420,421,351,422,423],"analyzing cobaltstrike malleable c2 profiles","generate","red-team","threat-hunting","cobalt-strike","red-team-tools","malleable-c2","beacon-analysis","network-signatures",{"skillNo":425,"name":426,"nameZh":13,"description":427,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":428,"categories":429,"keywords":431,"publishedAt":235},"01M6ADMDWAS5VY5TP1PQ7EXQH9","analyzing-cobalt-strike-beacon-configuration","Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-cobalt-strike-beacon-configuration\u002FSKILL.md",[430],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[432,245,216,433,306,434,435,417,418,248,419,405,350,249,436,420],"analyzing cobalt strike beacon configuration","config","extraction","operator","config-extraction",{"skillNo":438,"name":439,"nameZh":13,"description":440,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":441,"categories":442,"keywords":444,"publishedAt":235},"01M6ADMAAZHTS9WW1115HBQPJD","analyzing-cloud-storage-access-patterns","Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-cloud-storage-access-patterns\u002FSKILL.md",[443],{"categoryNo":23,"categoryName":24,"taxonomyType":6,"taxonomyTypeDesc":7},[445,446,447,281,216,448,449,450,282,284,332,451,452,453,454,455,456,457,458,459],"storage","cloud","analyzing cloud storage access patterns","azure storage","analytics","azure","s3","gcs","cloud-security","downloads","aws-s3","azure-blob-storage","cloudtrail","data-access-anomaly","exfiltration-detection",{"skillNo":461,"name":462,"nameZh":13,"description":463,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":464,"categories":465,"keywords":467,"publishedAt":235},"01M6ADM6QBG7HTA5XH47CWCV59","analyzing-certificate-transparency-for-phishing","Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-certificate-transparency-for-phishing\u002FSKILL.md",[466],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[468,216,306,219,220,221,469,307,332,470,225,471,472,229,473,474,475,476],"analyzing certificate transparency for phishing","search","monitoring","certificate-transparency","ct-logs","crt-sh","certstream","ssl","domain-monitoring",{"skillNo":478,"name":479,"nameZh":13,"description":480,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":481,"categories":482,"keywords":488,"publishedAt":235},"01M6ADM2Z32J4Q79JHWHB4WKPK","analyzing-campaign-attribution-evidence","Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing\u002Flanguage artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-campaign-attribution-evidence\u002FSKILL.md",[483,486,487],{"categoryNo":484,"categoryName":485,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":37,"categoryName":38,"taxonomyType":6,"taxonomyTypeDesc":7},[218,489,216,306,490,222,491,225,248,492,226,227,228,493],"analyzing campaign attribution evidence","code","mitre-attack","cti","campaign-analysis",{"skillNo":495,"name":496,"nameZh":13,"description":497,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":498,"categories":499,"keywords":503,"publishedAt":235},"01M6ADKZ2Y7J66AAAE3JZT57AM","analyzing-browser-forensics-with-hindsight","Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-browser-forensics-with-hindsight\u002FSKILL.md",[500],{"categoryNo":501,"categoryName":502,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000004","电子表格",[504,247,505,506,216,507,508,509,510,222,511,512,513,514,515,516,517,518,454,519],"browser","analyzing browser forensics with hindsight","xlsx","incident response","chrome","chromium","web","content","cache","edge","browser-forensics","hindsight","chrome-forensics","browsing-history","cookies","web-artifacts",{"skillNo":521,"name":522,"nameZh":13,"description":523,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":524,"categories":525,"keywords":527,"publishedAt":235},"01M6ADKVH1142DH698EQV1WVQ6","analyzing-bootkit-and-rootkit-samples","Analyzes bootkit and advanced rootkit malware infecting the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware for below-OS persistence, covering boot sector analysis, UEFI module inspection, and anti-rootkit detection. Use when compromise survives OS reinstallation or antivirus\u002FEDR fails to detect malware despite clear infection signs.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-bootkit-and-rootkit-samples\u002FSKILL.md",[526],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[528,216,529,530,248,531,532,533,534],"analyzing bootkit and rootkit samples","boot","persistence","bootkit","rootkit","UEFI","MBR-analysis",{"skillNo":536,"name":537,"nameZh":13,"description":538,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":539,"categories":540,"keywords":541,"publishedAt":235},"01M6ADKR1RWNRKD5R9NX6Z3ZWH","analyzing-azure-activity-logs-for-threats","Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-azure-activity-logs-for-threats\u002FSKILL.md",[],[450,332,542,244,281,216,347,543,219,544,446,545,453,546,418,547],"analyzing azure activity logs for threats","threat hunting","kql","security-operations","azure-monitor","activity-logs",127,18]