[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DDA1ZH2BXPMMVBMZP6YM1Z":3,"skill-same:01M6DDA1ZH2BXPMMVBMZP6YM1Z":72},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":14,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6DDA1ZH2BXPMMVBMZP6YM1Z","deep-research",null,"Multi-source research with runtime MCP tool inventory, live\u002Fdown\u002Fquota preflight, role-scoped routing, caching, academic consolidation, FACT\u002FRACE-style verification, two-axis source assessment, and grounded cited reports. Use for thorough evidence-backed research, due diligence, technology evaluation, or current-state synthesis.","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\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Fdeep-research\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"research","deep","deep research","live","MCP","runtime","caching","technology","quota","Synthesis","reports","evidence","use","tool","inventory","Evaluation","verification","state","routing","assessment","2026-11-10 10:12:30",false,"---\nname: deep-research\ndescription: Multi-source research with runtime MCP tool inventory, live\u002Fdown\u002Fquota preflight, role-scoped routing, caching, academic consolidation, FACT\u002FRACE-style verification, two-axis source assessment, and grounded cited reports. Use for thorough evidence-backed research, due diligence, technology evaluation, or current-state synthesis.\n---\n\n# Deep Research\n\n> **Drift-prone skill.** Provider registrations, tool names, result shapes, and\n> quotas change. Never promise provider coverage from this file alone. Obtain a\n> fresh MCP `tools\u002Flist` inventory, run the provider data probes, then route only\n> exact tools that are both configured and live. The policy choke-point is\n> `references\u002Fresearch_harness\u002Frouting.py`; `preflight.py` catches inventory,\n> quota, and freshness drift before dispatch.\n\nThe existing spine remains unchanged:\n\n`understand -> plan -> search -> deep-read -> synthesize -> deliver`\n\nResearch Harness M-16 adds exact-tool preflight, role-scoped routing, caching,\nacademic consolidation, claim\u002Fevidence validation, bounded reflection, and a\ncited Markdown renderer to that spine. It is a small pure Python package, not a\nnew MCP server or daemon.\n\n## When to Activate\n\n- In-depth research, investigation, or current-state questions\n- Competitive analysis, due diligence, market\u002Ftechnology evaluation\n- Literature reviews and evidence synthesis\n- Questions that need multiple independent sources and explicit uncertainty\n\n## Runtime MCP Tool Contract\n\nRouting stores logical providers plus exact tool names. The configured server\nprefix is bound at runtime, so moving tools behind `search-hub`, another lazy\nhub, or a direct provider registration does not break policy. A same-name tool\nmay be exposed as `server__tool` by one client and `mcp__server__tool` by\nanother; normalize that client wrapper into the inventory boundary, not in the\n\n### Workflow\n### Step 1: Scope — write a research brief\n### Step 2: Preflight — inventory, probe, then bind\n### Step 3: Plan and dispatch with provider roles\n### Step 4: Academic path — discover, resolve, read, consolidate\n### Step 5: FACT-style claim\u002Fevidence table\n### Step 5a: Native Anthropic Citations when the execution path exposes them\n### Step 6: Synthesize once, in one context\n### Step 7: Reflect — targeted gap fill, at most two waves\n### Step 8: Fresh external RACE-style verifier\n### Step 9: Deliver and persist\n","# Deep Research\n\n> **Drift-prone skill.** Provider registrations, tool names, result shapes, and\n> quotas change. Never promise provider coverage from this file alone. Obtain a\n> fresh MCP `tools\u002Flist` inventory, run the provider data probes, then route only\n> exact tools that are both configured and live. The policy choke-point is\n> `references\u002Fresearch_harness\u002Frouting.py`; `preflight.py` catches inventory,\n> quota, and freshness drift before dispatch.\n\nThe existing spine remains unchanged:\n\n`understand -> plan -> search -> deep-read -> synthesize -> deliver`\n\nResearch Harness M-16 adds exact-tool preflight, role-scoped routing, caching,\nacademic consolidation, claim\u002Fevidence validation, bounded reflection, and a\ncited Markdown renderer to that spine. It is a small pure Python package, not a\nnew MCP server or daemon.\n\n## When to Activate\n\n- In-depth research, investigation, or current-state questions\n- Competitive analysis, due diligence, market\u002Ftechnology evaluation\n- Literature reviews and evidence synthesis\n- Questions that need multiple independent sources and explicit uncertainty\n\n## Runtime MCP Tool Contract\n\nRouting stores logical providers plus exact tool names. The configured server\nprefix is bound at runtime, so moving tools behind `search-hub`, another lazy\nhub, or a direct provider registration does not break policy. A same-name tool\nmay be exposed as `server__tool` by one client and `mcp__server__tool` by\nanother; normalize that client wrapper into the inventory boundary, not in the\n\n### Workflow\n### Step 1: Scope — write a research brief\n### Step 2: Preflight — inventory, probe, then bind\n### Step 3: Plan and dispatch with provider roles\n### Step 4: Academic path — discover, resolve, read, consolidate\n### Step 5: FACT-style claim\u002Fevidence table\n### Step 5a: Native Anthropic Citations when the execution path exposes them\n### Step 6: Synthesize once, in one context\n### Step 7: Reflect — targeted gap fill, at most two waves\n### Step 8: Fresh external RACE-style verifier\n### Step 9: Deliver and persist\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Fdeep-research","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill deep-research",{"tool":64,"command":65},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill deep-research",{"tool":67,"command":68},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill deep-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Fdeep-research\u002FSKILL.md",true,[],[73,94,119,146,159,175],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":47},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[80,81,82,83,84,85,86,87,88,39,89,90,91,92,93],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":101,"publishedAt":47},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[100],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[102,103,104,105,106,107,40,108,109,110,111,112,113,114,39,115,116,117,118,31],"openmm md","how","decision","pick","linux","analyze","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":131,"publishedAt":47},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[125,128],{"categoryNo":126,"categoryName":127,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[132,133,134,135,136,137,138,139,140,141,103,142,143,144,145],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":47},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[148,153,154,155,156,157,158,44],"setup","report","project","installation","project setup","issues",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":47},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[165],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[161,167,85,168,169,170,39,171,172,173,174],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":176,"name":153,"nameZh":6,"description":177,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":178,"categories":179,"keywords":180,"publishedAt":47},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[153,155,117,181,157,182],"files","interactive"]