[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:126:":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":558,"size":559},[197,236,261,283,296,315,332,356,370,391,411,430,450,466,478,495,513,538],{"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},"01M6ADQK1N580CV3HNT2ZFSQCD","analyzing-network-covert-channels-in-malware","Detect and analyze covert communication channels used by malware, including DNS tunneling, ICMP exfiltration, steganographic HTTP, and other protocol abuse used for C2 and data exfiltration. Use when investigating suspicious DNS\u002FICMP\u002FHTTP traffic patterns, hunting for hidden C2 channels in network captures, or attributing exfiltration traffic to a known tunneling toolset.","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-network-covert-channels-in-malware\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],"malware","analyzing network covert channels in malware","suspicious","cybersecurity","http","validation","protocol","communication","file","forensics","c2","malware-analysis","c2-detection","dns","exfiltration","dns-tunneling","covert-channels","icmp-exfiltration","network-forensics","data-exfiltration","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":245,"publishedAt":235},"01M6ADQF1YDZYWPBPRF2QF3VZW","analyzing-mft-for-deleted-file-recovery","Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT, and X-Ways Forensics to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space. Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-mft-for-deleted-file-recovery\u002FSKILL.md",[242],{"categoryNo":243,"categoryName":244,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000005","邮件与沟通",[223,246,247,218,248,249,250,224,251,252,253,254,255,256,257,258,259,260],"analyzing mft for deleted file recovery","slack","windows","content","metadata","file-recovery","dfir","mft","ntfs","deleted-files","mftecmd","usn-journal","logfile","mft-slack-space","file-system-forensics",{"skillNo":262,"name":263,"nameZh":13,"description":264,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":265,"categories":266,"keywords":267,"publishedAt":235},"01M6ADQC6CTJTZGSHFPWETXEG2","analyzing-memory-forensics-with-lime-and-volatility","Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-memory-forensics-with-lime-and-volatility\u002FSKILL.md",[],[268,224,269,270,271,272,273,218,274,275,276,277,278,279,280,281,282],"memory","Volatility","analyzing memory forensics with lime and volatility","kernel","linux","security","incident response","code","framework","security-operations","memory-forensics","linux-forensics","incident-response","lime","kernel-modules",{"skillNo":284,"name":285,"nameZh":13,"description":286,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":287,"categories":288,"keywords":291,"publishedAt":235},"01M6ADQ928M8HEZ9F1ZPBBP4X7","analyzing-memory-dumps-with-volatility","Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory forensics. Activates for requests involving memory forensics, RAM analysis, volatile data examination, process injection detection, or memory-resident malware investigation.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-memory-dumps-with-volatility\u002FSKILL.md",[289,290],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[268,292,293,294,272,218,248,275,276,224,215,226,278,280,269,295],"analyzing memory dumps with volatility","macos","malicious","RAM-analysis",{"skillNo":297,"name":298,"nameZh":13,"description":299,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":300,"categories":301,"keywords":302,"publishedAt":235},"01M6ADQ5QX4DY31WE9EPG9ZHEV","analyzing-malware-sandbox-evasion-techniques","Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM\u002Fhypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun behavioral reports. Use when a sample shows no or minimal activity in a sandbox, when a behavioral report needs review for evasion indicators, or when building detections for anti-analysis techniques.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malware-sandbox-evasion-techniques\u002FSKILL.md",[],[303,215,304,305,218,306,307,308,309,226,310,311,312,313,314],"sandbox","analyzing malware sandbox evasion techniques","review","report","hypervisor","vm","mitre-attack","Cuckoo","behavioral-analysis","sandbox-evasion","anyrun","virtualization-detection",{"skillNo":316,"name":317,"nameZh":13,"description":318,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":319,"categories":320,"keywords":322,"publishedAt":235},"01M6ADQ21G5GN9PP591Y70EYYR","analyzing-malware-persistence-with-autoruns","Use Sysinternals Autoruns to systematically enumerate and analyze malware persistence mechanisms across Windows registry run keys, scheduled tasks, services, drivers, and startup locations. Use when hunting for persistence during Windows incident response, triaging a compromised endpoint, or validating that malware autostart entries have been fully identified and removed.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malware-persistence-with-autoruns\u002FSKILL.md",[321],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[323,215,324,218,274,248,325,326,327,220,249,250,223,328,226,329,330,331,280],"persistence","analyzing malware persistence with autoruns","tasks","run","registry","services","autoruns","sysinternals","startup",{"skillNo":333,"name":334,"nameZh":13,"description":335,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":336,"categories":337,"keywords":343,"publishedAt":235},"01M6ADPYC4XMBPZQVKK1Y2C47T","analyzing-malware-family-relationships-with-malpedia","Query the Malpedia API to look up malware family aliases and naming (platform.family_name), pull community\u002Fvendor YARA rules, link families to threat actors, and map family relationships such as loader-payload chains and shared authorship. Use when researching a malware family's aliases, lineage, or actor attribution, or when sourcing YARA rules for detection.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malware-family-relationships-with-malpedia\u002FSKILL.md",[338,341,342],{"categoryNo":339,"categoryName":340,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[215,344,218,345,346,347,348,349,350,351,352,353,354,355],"analyzing malware family relationships with malpedia","pull","lineage","threat-actor","threat-intelligence","attribution","malpedia","malware-family","yara","malware-tracking","variant-analysis","malware-intelligence",{"skillNo":357,"name":358,"nameZh":13,"description":359,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":360,"categories":361,"keywords":363,"publishedAt":235},"01M6ADPTZ10C40TQ9W21R8GB5Z","analyzing-malware-behavior-with-cuckoo-sandbox","Detonate malware samples in Cuckoo Sandbox to observe runtime behavior — process creation, file system and registry changes, network communications, and API calls — and generate behavioral reports for classification and IOC extraction. Use when a sample has passed static triage and needs dynamic\u002Fbehavioral analysis, when mapping a full infection chain, or when building YARA\u002Fbehavioral signatures from observed sandbox activity.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malware-behavior-with-cuckoo-sandbox\u002FSKILL.md",[362],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[303,215,364,218,365,366,327,367,223,368,226,369,310,311],"analyzing malware behavior with cuckoo sandbox","triage","generate","extraction","ioc","dynamic-analysis",{"skillNo":371,"name":372,"nameZh":13,"description":373,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":374,"categories":375,"keywords":377,"publishedAt":235},"01M6ADPQEEPVRRAFN5DKB6HT2K","analyzing-malicious-url-with-urlscan","URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malicious-url-with-urlscan\u002FSKILL.md",[376],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[294,378,379,217,273,218,380,381,219,382,249,383,384,348,385,386,387,388,389,390],"analyzing malicious url with urlscan","screenshots","javascript","web","pr","email","engineering","phishing","dmarc","email-security","social-engineering","awareness","url-analysis",{"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":401,"publishedAt":235},"01M6ADPMC08VZ39Q7J168MS1HV","analyzing-malicious-pdf-with-peepdf","Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-malicious-pdf-with-peepdf\u002FSKILL.md",[397,400],{"categoryNo":398,"categoryName":399,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[402,294,403,217,404,218,380,405,383,384,406,407,215,385,226,408,409,410,252],"PDF","analyzing malicious pdf with peepdf","static analysis","documents","static-analysis","reverse-engineering","peepdf","pdfid","pdf-parser",{"skillNo":412,"name":413,"nameZh":13,"description":414,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":415,"categories":416,"keywords":422,"publishedAt":235},"01M6ADPGTY8CN2ET0AQFX7ETDS","analyzing-macro-malware-in-office-documents","Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat examination.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-macro-malware-in-office-documents\u002FSKILL.md",[417,418,421],{"categoryNo":398,"categoryName":399,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":419,"categoryName":420,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000004","电子表格",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[405,423,215,424,425,294,218,99,426,220,221,249,250,223,323,226,427,428,429],"office","analyzing macro malware in office documents","xlsx","powerpoint","macro","VBA","document-malware",{"skillNo":431,"name":432,"nameZh":13,"description":433,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":434,"categories":435,"keywords":436,"publishedAt":235},"01M6ADPCY1VJ997SYBX7QNPXT2","analyzing-lnk-file-and-jump-list-artifacts","Analyze Windows LNK shortcut files and Jump List artifacts with LECmd, JLECmd, and manual Shell Link Binary Format parsing to establish evidence of file access, program execution, and user activity that persists even after the target file is deleted. Use when investigating Windows user activity, reconstructing file-access or program-execution timelines, or examining recent\u002Ffrequently-used file evidence in a forensic exam.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-lnk-file-and-jump-list-artifacts\u002FSKILL.md",[],[437,223,438,439,218,248,224,440,441,442,443,444,445,446,447,448,449],"artifacts","analyzing lnk file and jump list artifacts","file access","lnk-files","jump-lists","lecmd","jlecmd","windows-forensics","shell-link","user-activity","file-access","program-execution","recent-files",{"skillNo":451,"name":452,"nameZh":13,"description":453,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":454,"categories":455,"keywords":457,"publishedAt":235},"01M6ADP9J42DTVHRYD3MQG8NG3","analyzing-linux-system-artifacts","Examine Linux system artifacts (auth logs, cron\u002Fsystemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and reconstruct user\u002Fattacker activity. Use when investigating a compromised Linux server or workstation, hunting for persistence mechanisms, or scoping a Linux-based breach during incident response.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-linux-system-artifacts\u002FSKILL.md",[456],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[272,437,458,218,274,459,323,460,461,224,279,462,463,464,465],"analyzing linux system artifacts","auth","logs","server","system-artifacts","log-analysis","persistence-detection","incident-investigation",{"skillNo":467,"name":468,"nameZh":13,"description":469,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":470,"categories":471,"keywords":472,"publishedAt":235},"01M6ADP6JS5JH6MVTBT9TJ2W2C","analyzing-linux-kernel-rootkits","Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and \u002Fproc vs \u002Fsys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-linux-kernel-rootkits\u002FSKILL.md",[],[271,272,473,268,218,474,224,215,475,226,278,476,477],"analyzing linux kernel rootkits","plugins","rootkit","volatility3","rkhunter",{"skillNo":479,"name":480,"nameZh":13,"description":481,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":482,"categories":483,"keywords":486,"publishedAt":235},"01M6ADP2XBN80RP6SXWWESWDBN","analyzing-linux-elf-malware","Analyze malicious Linux ELF binaries — botnets, cryptominers, ransomware, and rootkits targeting Linux servers, containers, and cloud infrastructure — through static analysis, dynamic tracing, and reverse engineering of x86_64 and ARM samples. Use when investigating Linux malware, triaging a suspicious ELF binary, assessing a compromised Linux server, or analyzing container-targeted malware.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-linux-elf-malware\u002FSKILL.md",[484,485],{"categoryNo":339,"categoryName":340,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[272,215,487,294,217,488,404,218,489,490,491,461,492,384,407,226,493,494],"analyzing linux elf malware","containers","infrastructure","tracing","transfer","cloud","ELF","server-malware",{"skillNo":496,"name":497,"nameZh":13,"description":498,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":499,"categories":500,"keywords":502,"publishedAt":235},"01M6ADNZ9QJS929NAFM4QZY1QQ","analyzing-linux-audit-logs-for-intrusion","Uses the Linux Audit framework (auditd) with ausearch and aureport utilities to detect intrusion attempts, unauthorized access, privilege escalation, and suspicious system activity. Covers audit rule configuration, log querying, timeline reconstruction, and integration with SIEM platforms. Activates for requests involving auditd analysis, Linux audit log investigation, ausearch queries, aureport summaries, or host-based intrusion detection on Linux.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-linux-audit-logs-for-intrusion\u002FSKILL.md",[501],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[272,503,460,504,217,273,218,505,276,506,224,507,508,509,510,511,512],"audit","analyzing linux audit logs for intrusion","siem","integration","auditd","ausearch","aureport","linux-security","intrusion-detection","HIDS",{"skillNo":514,"name":515,"nameZh":13,"description":516,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":517,"categories":518,"keywords":525,"publishedAt":235},"01M6ADNVX6HTZ6JYQVCWRZKJZH","analyzing-kubernetes-audit-logs","Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco.\n'","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-kubernetes-audit-logs\u002FSKILL.md",[519,520,523,524],{"categoryNo":339,"categoryName":340,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":521,"categoryName":522,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":30,"categoryName":31,"taxonomyType":6,"taxonomyTypeDesc":7},[526,503,460,527,528,273,529,218,505,530,531,382,249,461,532,533,534,535,536,537],"kubernetes","analyzing kubernetes audit logs","writing","policy","change","rbac","privilege-escalation","threat-detection","container-security","kubernetes-security","audit-log-analysis","k8s-api-server",{"skillNo":539,"name":540,"nameZh":13,"description":541,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":542,"categories":543,"keywords":548,"publishedAt":235},"01M6ADNR325NDYKGE4FXWSRGME","analyzing-ios-app-security-with-objection","Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate\u002Fbypass client-side protections during authorized mobile assessments.","https:\u002F\u002Fgithub.com\u002Fmukul975\u002FAnthropic-Cybersecurity-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fanalyzing-ios-app-security-with-objection\u002FSKILL.md",[544,547],{"categoryNo":545,"categoryName":546,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},[273,549,550,218,551,382,552,553,554,555,556,557],"analyzing ios app security with objection","testing","validate","mobile-security","ios","objection","frida","owasp-mobile","penetration-testing",126,18]