[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:sce6":3,"skills:stats":50,"skills:pro6":55,"skills:creators9":100,"skills:all:stars:10579:":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},"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",1,39458,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26531,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13569,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"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":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"skillCount":51,"professionCount":52,"scenarioCount":53,"creatorCount":54},196852,11,7,1926,[56,65,72,79,86,93],{"categoryNo":57,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":60,"categoryNameEn":61,"description":62,"level":11,"skillCount":63,"parentNo":13,"parentName":13,"children":64},"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",13274,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":11,"skillCount":70,"parentNo":13,"parentName":13,"children":71},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7775,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":11,"skillCount":77,"parentNo":13,"parentName":13,"children":78},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":11,"skillCount":84,"parentNo":13,"parentName":13,"children":85},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":11,"skillCount":91,"parentNo":13,"parentName":13,"children":92},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":11,"skillCount":98,"parentNo":13,"parentName":13,"children":99},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],{"records":101,"total":54,"current":11,"size":194},[102,114,123,133,143,153,163,172,182],{"accountNo":103,"login":104,"displayName":105,"avatarUrl":106,"accountType":107,"accountTypeDesc":108,"profileDescription":109,"skillCount":110,"repoCount":111,"professionCount":52,"scenarioCount":53,"totalStars":112,"updatedAt":113},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4160,229,828772,"2026-11-13 04:10:52",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":53,"scenarioCount":53,"totalStars":121,"updatedAt":122},"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":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":128,"repoCount":129,"professionCount":53,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":53,"totalStars":141,"updatedAt":142},"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":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":52,"scenarioCount":53,"totalStars":151,"updatedAt":152},"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":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":52,"scenarioCount":53,"totalStars":161,"updatedAt":162},"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":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":168,"repoCount":169,"professionCount":52,"scenarioCount":53,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231826,"2026-11-13 04:18:26",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":53,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188014,"2026-11-13 02:38:59",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":53,"totalStars":192,"updatedAt":193},"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",9,{"records":196,"total":51,"current":561,"size":562},[197,227,252,269,293,306,331,355,372,384,405,429,443,470,492,505,530,541],{"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":211,"publishedAt":226},"01M6DBG5NY2K3Z2XYWF1DE64GR","imhex","Use when hex editing, binary analysis, pattern language parsing, file identification, hash computation, or hex dump generation is needed. ImHex provides a powerful CLI and pattern language for structured binary data inspection.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimhex\u002FSKILL.md",[],[199,212,213,214,215,216,217,218,219,220,221,222,223,224,225],"cli","file","data","analysis","parsing","editing","use","binary analysis","language","pattern","hex","structured","generation","binary","2026-11-10 10:12:30",{"skillNo":228,"name":229,"nameZh":13,"description":230,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":231,"categories":232,"keywords":239,"publishedAt":226},"01M6DBG20JYNMY43EAPYEABQZ9","imagegen","Use when asked to generate or edit images via the OpenAI Image API (generate, edit\u002Finpaint\u002Fmask, background removal\u002Freplacement, transparent background, product shots, concept art, covers, batch variants); run `scripts\u002Fimage_gen.py`, needs `OPENAI_API_KEY`. NOT for video (use sora) or Grok Imagine (use accurate-grok-imagine).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimagegen\u002FSKILL.md",[233,236],{"categoryNo":234,"categoryName":235,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000023","Skill与智能体开发",[229,240,241,242,243,125,244,245,246,247,248,218,249,250,251],"image","generate","run","product","batch","api","Video","sora","edit","grok","images","Art",{"skillNo":253,"name":254,"nameZh":13,"description":255,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":256,"categories":257,"keywords":259,"publishedAt":226},"01M6DBFZQ2E1KKZB4AZ3KM258J","ida-pro-mcp","Use when installing or configuring mrexodia\u002Fida-pro-mcp for IDA Pro, or when wiring its client config into Codex, Claude Code, or Gemini CLI after the IDA plugin is available.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fida-pro-mcp\u002FSKILL.md",[258],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[260,261,212,262,263,264,265,266,267,268,218],"MCP","ida pro mcp","gemini","codex","gemini cli","config","plugin","code","ida-pro",{"skillNo":270,"name":271,"nameZh":13,"description":272,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":273,"categories":274,"keywords":276,"publishedAt":226},"01M6DBFW90TM2SS8MP4Z096WAZ","ida-multi-mcp","Use when you need to analyze SEVERAL binaries in IDA at once through one MCP endpoint, or when you must re-find a function whose address SHIFTED after a rebuild\u002Fgame-update. Wires MeroZemory\u002Fida-multi-mcp and its local BCSD engine - similar_functions \u002F compare_functions rank matches by instruction-shingle MinHash plus API\u002Fstring\u002Fconstant anchors plus CFG shape, name-independently (survives stripping), within a binary or across instances. The keystone Battle Cats recipe - open the pinned old IDB and the new .so as two instances, then similar_functions to auto-re-locate the moved offset table after a relink. Additive and opt-in - adds NO hook, gate, or blocking behavior. NOT for a single binary on the already-installed server (use ida-pro-mcp); the Reversecore mega-bundle stays PARKED.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fida-multi-mcp\u002FSKILL.md",[275],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[260,277,155,278,279,245,280,281,282,283,284,218,285,286,287,288,289,290,291,292],"ida multi mcp","server","CFG","open","game","analyze","engine","find","auto","functions","rebuild","instances","single binary","across","local","as",{"skillNo":294,"name":295,"nameZh":13,"description":296,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":297,"categories":298,"keywords":299,"publishedAt":226},"01M6DBFSYTB7BWXC92J6ESMQ44","ida-decompiler-cleanup","Use when Hex-Rays decompiler output in IDA Pro is noisy, poorly typed, or hard to reason about, especially for indirect-call typing, prototype cleanup, structure naming, variable cleanup, and preparing functions for durable analysis or signature work.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fida-decompiler-cleanup\u002FSKILL.md",[],[300,301,302,215,303,218,286,304,305,222],"cleanup","ida decompiler cleanup","prototype","work","call","structure",{"skillNo":307,"name":308,"nameZh":13,"description":309,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":310,"categories":311,"keywords":316,"publishedAt":226},"01M6DBFP2M1FWXZRY4YM7TWRXP","humanizer","Use when editing or reviewing text to remove AI-writing patterns (em dashes, filler phrases, passive voice, inflated symbolism) and make it sound more natural and human-written ; do NOT use for full 5-pass rewrite workflows or voice-matching (use agentic-humanizer) ; returns edited text with AI patterns removed.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhumanizer\u002FSKILL.md",[312,315],{"categoryNo":313,"categoryName":314,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":80,"categoryName":81,"taxonomyType":58,"taxonomyTypeDesc":59},[308,317,155,318,319,267,320,321,217,322,323,248,324,218,325,326,327,328,329,330],"writing","agentic","workflows","text","returns","read","write","remove","opencode","do","patterns","human","full","matching",{"skillNo":332,"name":333,"nameZh":13,"description":334,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":335,"categories":336,"keywords":338,"publishedAt":226},"01M6DBFJPT1HNVY2N9R999M0QC","hosted-model-agents","Deploy hosted or local models as agent runtimes (Hugging Face router + Hub MCP + Spaces + Endpoints, Modal\u002FRunPod\u002FLightning, Azure Foundry, Ollama\u002FLM Studio\u002Fllama.cpp, Cursor Max\u002Fauth2api), register them in .agents\u002Fmodels.json, reach them via the inference-hub MCP (models_list\u002Fchat\u002Fchat_many) or rendered provider blocks, then attach tools in the local harness. Use when picking where a model runs, wiring OpenAI \u002Fv1 or Gradio MCP, or adding tool loops for agents. Any model that emits tool_calls.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhosted-model-agents\u002FSKILL.md",[337],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[339,340,260,341,342,343,344,345,346,347,218,348,349,350,351,352,353,354,291,292],"model","hosted model agents","azure","cpp","harness","Local Models","tool","ollama","cursor","router","models","provider","endpoints","attach","chat","active",{"skillNo":356,"name":357,"nameZh":13,"description":358,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":359,"categories":360,"keywords":362,"publishedAt":226},"01M6DBFFVG1TDP93Y68P0V6RCC","hexstrike-ai-setup","Use when installing, wiring, validating, or troubleshooting the local HexStrike AI binary and runtime environment for Codex, Claude, or Gemini ; do NOT use for MCP server registration wiring (use hexstrike-ai-mcp) or running an active authorized engagement (use hexstrike-ai-authorized-engagement) ; returns a validated running HexStrike runtime.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhexstrike-ai-setup\u002FSKILL.md",[361],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[363,364,365,260,262,263,366,278,367,321,368,218,369,370,326,354,291,371,225],"setup","ai setup","hexstrike ai setup","mcp server","troubleshooting","environment","engagement","registration","runtime",{"skillNo":373,"name":374,"nameZh":13,"description":375,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":376,"categories":377,"keywords":379,"publishedAt":226},"01M6DBFD5X1MZTF3T7QKYW5BKN","hexstrike-ai-mcp","Use when registering, repairing, or configuring HexStrike AI as an MCP server with a framed stdio bridge for Codex, Claude Code, or Gemini CLI ; do NOT use for runtime installation (use hexstrike-ai-setup) or running engagements (use hexstrike-ai-authorized-engagement) ; returns working MCP server registration for HexStrike.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhexstrike-ai-mcp\u002FSKILL.md",[378],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[260,380,212,262,263,264,366,363,267,278,321,381,218,369,370,326,382,371,292,383],"hexstrike ai mcp","bridge","installation","framed",{"skillNo":385,"name":386,"nameZh":13,"description":387,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":388,"categories":389,"keywords":391,"publishedAt":226},"01M6DBFAETJJR6ZN61SP28TFQY","hexstrike-ai-authorized-engagement","Use when routing an authorized security assessment, bug bounty, red-team exercise, or CTF task through the local HexStrike AI runtime ; do NOT use for installation or MCP wiring (use hexstrike-ai-setup or hexstrike-ai-mcp) ; returns HexStrike AI engagement results for authorized targets only.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhexstrike-ai-authorized-engagement\u002FSKILL.md",[390],{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[369,392,260,393,394,395,396,397,398,399,400,218,401,402,403,326,404,382,291,371],"hexstrike ai authorized engagement","security","assessment","routing","red-team","bug bounty","exercise","team","results","only","security assessment","bug","task",{"skillNo":406,"name":407,"nameZh":13,"description":408,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":409,"categories":410,"keywords":411,"publishedAt":226},"01M6DBF6V3XEN21N127YFPSKEN","harness-module-authoring","Author, register, test, or review lifecycle harness modules and hook checks in agent-skills-toolchain. Use when changing ci\u002Fharness HookEvent or HookResult modules, hooks\u002F_dispatch\u002Fmanifest.json checks, fail-open behavior, redaction, persistent side effects, deduplication, calibrated-silence confidence gates, contraindication registry rows, or block-versus-inject policy.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fharness-module-authoring\u002FSKILL.md",[],[343,412,413,414,415,416,417,418,419,420,421,280,422,423,218,424,425,426,427,428],"authoring","module","harness module authoring","review","policy","test","ci","deduplication","manifest","lifecycle","json","behavior","dispatch","hooks","modules","agent-skills","gates",{"skillNo":430,"name":431,"nameZh":13,"description":432,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":433,"categories":434,"keywords":435,"publishedAt":226},"01M6DBF4JVPNTHXEEQRGJZ5J7S","handoff","Compact the current conversation into a handoff document for another agent to pick up.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhandoff\u002FSKILL.md",[],[431,436,437,438,439,440,441,442],"pick","session","up","document","conversation","compact","next",{"skillNo":444,"name":445,"nameZh":13,"description":446,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":447,"categories":448,"keywords":453,"publishedAt":226},"01M6DBF0ZDS33V8N8371R2ACS2","hacktricks","Retrieve and synthesize HackTricks and HackTricks Cloud guidance for authorized security research, pentests, CTFs, hardening, incident response, reverse engineering, and web, network, Active Directory, mobile, cloud, OS, and protocol techniques. Use when the user names HackTricks or needs a concrete security technique, checklist, command, payload, prerequisite, or defensive reference. Route between the connected hacktricks MCP, the offline corpus, and the quota-limited official HackTricks AI API. Do not use it as current CVE or vendor truth, as authorization to act, or as a substitute for generic library documentation.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhacktricks\u002FSKILL.md",[449,452],{"categoryNo":450,"categoryName":451,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":237,"categoryName":238,"taxonomyType":6,"taxonomyTypeDesc":7},[445,260,454,455,456,457,458,459,460,245,461,462,463,464,465,466,354,467,468,469],"directory","incident response","official","documentation","offline","library","network","command","payload","mobile","route","incident","synthesize","act","ai api","os",{"skillNo":471,"name":472,"nameZh":13,"description":473,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":474,"categories":475,"keywords":478,"publishedAt":226},"01M6DBEXME3KG5XMP55GGSZH6X","hacktricks-api","Query the HackTricks AI for a synthesized, curated answer when the local hacktricks corpus search is not enough. Cached (repeat queries cost nothing) and rate-limit-aware (weekly RAG quota). Covers the same broad domains as HackTricks — security, cloud, web, network, forensics, AI, and general dev. Prefer the local hacktricks skill first; use this to escalate.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhacktricks-api\u002FSKILL.md",[476,477],{"categoryNo":450,"categoryName":451,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":57,"categoryName":60,"taxonomyType":58,"taxonomyTypeDesc":59},[245,479,393,480,481,482,483,484,485,460,486,218,487,488,489,490,491,291,292],"hacktricks api","web","rag","dev","search","cloud","forensics","first","cost","general","queries","quota","query",{"skillNo":493,"name":494,"nameZh":13,"description":495,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":496,"categories":497,"keywords":498,"publishedAt":226},"01M6DBEQXZ12HG0PYY4JT9HXEA","grok-lane","Local Grok OpenAI-compatible lane (chenyme\u002Fgrok2api bridge) - launch, keepalive, model catalog, client wiring and budget caps for grok-4.x models on this estate.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgrok-lane\u002FSKILL.md",[],[499,249,500,501,125,502,503,339,381,504,349,291],"lane","grok lane","launch","model catalog","Budget","catalog",{"skillNo":506,"name":507,"nameZh":13,"description":508,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":509,"categories":510,"keywords":511,"publishedAt":226},"01M6DBEMKJ520B365955YX9BPE","grill-with-docs","Use when stress-testing a plan against the workspace's domain knowledge and prior decisions - challenge terminology, sharpen fuzzy language, and write resolved decisions back. Use when the user says grill against our docs or decisions, or wants a glossary-aware design grill. NOT for a plain plan interview (use grill-me) or a program-scale scope (use grill-me-extensive).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgrill-with-docs\u002FSKILL.md",[],[512,513,514,515,516,517,518,519,520,521,522,523,323,524,218,525,526,527,528,529],"docs","grill with docs","grill","testing","design","knowledge","plan","sharpen","glossary","workspace","decisions","challenge","interview","grill-me","back","terminology","me","domain",{"skillNo":531,"name":525,"nameZh":13,"description":532,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":533,"categories":534,"keywords":535,"publishedAt":226},"01M6DBEJC42939GAD7ZWM2KKRA","Interview the user about a plan or design, resolving each branch of the decision tree. Use when the user wants to stress-test a plan or says grill me. NOT for program-scale or under-specified scopes (use grill-me-extensive).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgrill-me\u002FSKILL.md",[],[536,514,528,516,417,518,537,538,539,524,218,525,540],"grill me","decision","branch","user","stress-test",{"skillNo":542,"name":543,"nameZh":13,"description":544,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":545,"categories":546,"keywords":547,"publishedAt":226},"01M6DBEFM4STTSJ5RPVFSYPX1F","grill-me-extensive","Program-scale extensive grilling for wide or under-specified decision spaces. Scout context, fan out a brainstorm to surface directions beyond the stated ask, structure a categorized decision list, then walk one question at a time with a recommendation, capturing every decision. Modes: expansion, modification, scope-change, modernization, better-ideas, red-team, simplification, prioritization.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgrill-me-extensive\u002FSKILL.md",[],[536,514,528,548,549,550,551,396,552,399,537,553,554,555,556,557,305,558,559,560],"grill me extensive","grilling","change","modernization","prioritization","brainstorm","ask","question","list","scout","time","ideas","simplification",10579,18]