[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBTYHW5NPPTNG7ZDKTVJ41":3,"skill-same:01M6DBTYHW5NPPTNG7ZDKTVJ41":75},{"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":29,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":14,"repositoryHtmlUrl":58,"repositoryHomepageUrl":6,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":60,"install":61,"resources":74},"01M6DBTYHW5NPPTNG7ZDKTVJ41","scholarly-literature-review",null,"Use when given DOIs, PMIDs, arXiv ids, or paper titles and needing canonical metadata, access-status tables, citation\u002Freference expansion, or structured summaries from legally available abstracts via Scholarly Access MCP ; do NOT use for biomedical evidence ranking (use biomedical-paper-triage) or PDF downloading (use oa-pdf-retrieval) ; returns metadata, access classification, and citation graph.","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\u002Fscholarly-literature-review\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"scholarly literature review","review","literature review","access","paper","biomedical","structured","do","arxiv","reference","evidence","use","PDF","classification","ids","graph","metadata","status","triage","MCP","2026-11-10 10:12:30",false,"---\nname: scholarly-literature-review\ndescription: Use when given DOIs, PMIDs, arXiv ids, or paper titles and needing canonical metadata, access-status tables, citation\u002Freference expansion, or structured summaries from legally available abstracts via Scholarly Access MCP ; do NOT use for biomedical evidence ranking (use biomedical-paper-triage) or PDF downloading (use oa-pdf-retrieval) ; returns metadata, access classification, and citation graph.\n---\n\n# Scholarly Literature Review\n\nIt is the compliant replacement for any Sci-Hub style MCP.\n\n## When to use\n\n- You have a citation, DOI, PMID, arXiv id, or a paper title and want canonical metadata.\n- You have a list of identifiers and want a single access-status table across all of them.\n- You want to know, per paper, whether the full text is a downloadable open-access PDF, only free-to-read on a publisher or PMC page, behind a subscription, or unavailable.\n- You want to explore a paper's references and the works that cite it.\n- You want a structured summary built only from legally-available metadata and abstracts.\n\nFor a single quick factoid lookup, resolving one identifier may be enough. For broad topical reviews you may layer this with domain-specific ToolUniverse skills.\n\n## The MCP tools it uses\n\nPrimary tools for this skill (spec dot-name maps 1:1 to the MCP underscore-name):\n\n- `paper.batch_resolve` -> `paper_batch_resolve(identifiers[])` : resolve a list of identifiers into a table of access status, OA links, metadata, plus any unresolved items.\n- `paper.summarize` -> `paper_summarize(identifier|doi)` : structured digest from legally-available metadata and abstract; the agent writes the prose.\n- `paper.citation_graph` -> `paper_citation_graph(identifier|doi, limit)` : references and citing works from Semantic Scholar and OpenAlex.\n\nSupporting tools also available on the same server when you need them:\n\n- `paper.resolve` -> `paper_resolve(identifier)` : single identifier to canonical metadata, normalized ids (doi, pmid, arxiv, openalex), and confidence.\n- `paper.fetch_metadata` -> `paper_fetch_metadata(identifier)` : metadata plus abstract and references where legally available.\n\n## Access categories (honest)\n\n- `subscription` : paywalled; cite only.\n- `unavailable` : no available full text exists.\n- `unknown` : access could not be determined.\n\n## Workflow steps\n\n1. Gather the identifiers you have: DOIs, PMIDs, arXiv ids, or titles. Titles use a similarity threshold and a too-vague title may come back unresolved.\n2. For a set of papers, call `paper_batch_resolve` to get one consolidated table of metadata, access status, OA links, and unresolved items. For a single paper, use `paper_resolve` or `paper_access_status`.\n3. Read the access category per paper.\n4. To expand a topic, call `paper_citation_graph` to pull references and citing works, then loop those new identifiers back through `paper_batch_resolve`.\n5.\n\n## Concrete examples\n\n- Resolve a landmark methods paper: `paper_resolve(\"10.1371\u002Fjournal.pmed.0020124\")` returns the resolved record with title \"Why Most Published Research Findings Are False\".\n- Resolve a preprint by arXiv id: `paper_resolve(\"1706.03762\")` returns the arXiv record \"Attention Is All You Need\".\n- Classify an open-access paper: `paper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")` returns `oa_pdf` with a PLOS OA url.\n\n## Limitations\n\n- Title resolution uses a similarity threshold of 0.55; a too-vague title may be reported as unresolved.\n- `free_to_read_not_redistributable` items are intentionally not downloaded; open the landing page instead.\n- Citation graph depth depends on Semantic Scholar and OpenAlex coverage for the given DOI.\n- An API key that is missing only causes that one source to be skipped, never an error.\n\n## Tested invocation\n\n```\npaper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")\n-> category: oa_pdf\n-> provenance: PLOS open-access url\n```\n\nThis is one of the verified live end-to-end checks. The server's test suite covers 22 offline policy\u002Fgate tests and 10 live end-to-end checks, and lists 8 tools over MCP stdio.\n","# Scholarly Literature Review\n\nIt is the compliant replacement for any Sci-Hub style MCP.\n\n## When to use\n\n- You have a citation, DOI, PMID, arXiv id, or a paper title and want canonical metadata.\n- You have a list of identifiers and want a single access-status table across all of them.\n- You want to know, per paper, whether the full text is a downloadable open-access PDF, only free-to-read on a publisher or PMC page, behind a subscription, or unavailable.\n- You want to explore a paper's references and the works that cite it.\n- You want a structured summary built only from legally-available metadata and abstracts.\n\nFor a single quick factoid lookup, resolving one identifier may be enough. For broad topical reviews you may layer this with domain-specific ToolUniverse skills.\n\n## The MCP tools it uses\n\nPrimary tools for this skill (spec dot-name maps 1:1 to the MCP underscore-name):\n\n- `paper.batch_resolve` -> `paper_batch_resolve(identifiers[])` : resolve a list of identifiers into a table of access status, OA links, metadata, plus any unresolved items.\n- `paper.summarize` -> `paper_summarize(identifier|doi)` : structured digest from legally-available metadata and abstract; the agent writes the prose.\n- `paper.citation_graph` -> `paper_citation_graph(identifier|doi, limit)` : references and citing works from Semantic Scholar and OpenAlex.\n\nSupporting tools also available on the same server when you need them:\n\n- `paper.resolve` -> `paper_resolve(identifier)` : single identifier to canonical metadata, normalized ids (doi, pmid, arxiv, openalex), and confidence.\n- `paper.fetch_metadata` -> `paper_fetch_metadata(identifier)` : metadata plus abstract and references where legally available.\n\n## Access categories (honest)\n\n- `subscription` : paywalled; cite only.\n- `unavailable` : no available full text exists.\n- `unknown` : access could not be determined.\n\n## Workflow steps\n\n1. Gather the identifiers you have: DOIs, PMIDs, arXiv ids, or titles. Titles use a similarity threshold and a too-vague title may come back unresolved.\n2. For a set of papers, call `paper_batch_resolve` to get one consolidated table of metadata, access status, OA links, and unresolved items. For a single paper, use `paper_resolve` or `paper_access_status`.\n3. Read the access category per paper.\n4. To expand a topic, call `paper_citation_graph` to pull references and citing works, then loop those new identifiers back through `paper_batch_resolve`.\n5.\n\n## Concrete examples\n\n- Resolve a landmark methods paper: `paper_resolve(\"10.1371\u002Fjournal.pmed.0020124\")` returns the resolved record with title \"Why Most Published Research Findings Are False\".\n- Resolve a preprint by arXiv id: `paper_resolve(\"1706.03762\")` returns the arXiv record \"Attention Is All You Need\".\n- Classify an open-access paper: `paper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")` returns `oa_pdf` with a PLOS OA url.\n\n## Limitations\n\n- Title resolution uses a similarity threshold of 0.55; a too-vague title may be reported as unresolved.\n- `free_to_read_not_redistributable` items are intentionally not downloaded; open the landing page instead.\n- Citation graph depth depends on Semantic Scholar and OpenAlex coverage for the given DOI.\n- An API key that is missing only causes that one source to be skipped, never an error.\n\n## Tested invocation\n\n```\npaper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")\n-> category: oa_pdf\n-> provenance: PLOS open-access url\n```\n\nThis is one of the verified live end-to-end checks. The server's test suite covers 22 offline policy\u002Fgate tests and 10 live end-to-end checks, and lists 8 tools over MCP stdio.\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fscholarly-literature-review","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill scholarly-literature-review",{"tool":67,"command":68},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill scholarly-literature-review",{"tool":70,"command":71},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill scholarly-literature-review","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fscholarly-literature-review\u002FSKILL.md",true,[],[76,97,122,148,161,177],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":82,"publishedAt":50},"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",[],[83,84,85,86,87,88,89,90,91,41,92,93,94,95,96],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":104,"publishedAt":50},"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",[103],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[105,106,107,108,109,110,111,112,113,114,115,116,117,118,41,119,120,121,37,49],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":134,"publishedAt":50},"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",[128,131],{"categoryNo":129,"categoryName":130,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":132,"categoryName":133,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[31,135,136,137,138,139,140,141,142,143,106,144,145,146,147],"visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":149,"name":47,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":50},"01M6DF73AQVCBZKEN0YXEX9FXP","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",[],[47,154,155,156,157,158,159,160],"setup","report","project","installation","project setup","issues","state",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":168,"publishedAt":50},"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",[167],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[163,169,88,170,171,172,41,173,174,175,176],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":178,"name":154,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":182,"publishedAt":50},"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",[],[154,156,121,183,158,184],"files","interactive"]