[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBMX58G29NNRQGYRC79XQP":3,"skill-same:01M6DBMX58G29NNRQGYRC79XQP":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},"01M6DBMX58G29NNRQGYRC79XQP","oa-pdf-retrieval",null,"Use when downloading an open-access paper PDF with verified provenance (allowlisted host, license, sha256) via paper_find_oa_pdf and paper_download_oa_pdf ; do NOT use for mere metadata lookup or citation graphs (use scholarly-literature-review), or for biomedical ranking (use biomedical-paper-triage) ; returns downloaded PDF path with access classification.","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\u002Foa-pdf-retrieval\u002FSKILL.md",[18,23],{"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",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"oa pdf retrieval","PDF","download","host","paper","graphs","biomedical","Citation","do","use","find","access","open","classification","provenance","lookup","metadata","license","triage","review","2026-11-10 10:12:30",false,"---\nname: oa-pdf-retrieval\ndescription: Use when downloading an open-access paper PDF with verified provenance (allowlisted host, license, sha256) via paper_find_oa_pdf and paper_download_oa_pdf ; do NOT use for mere metadata lookup or citation graphs (use scholarly-literature-review), or for biomedical ranking (use biomedical-paper-triage) ; returns downloaded PDF path with access classification.\n---\n\n# Open-Access PDF Retrieval\n\nWhen a paper is only free-to-read (publisher or PMC landing page) or behind a subscription, this skill does NOT download it — it cites the landing page instead. The hard download gate is enforced in server code, not just convention.\n\n## When to use\n\n- You need a verifiable record of where a PDF came from (allowlisted host), under what license, with a sha256 checksum and byte count.\n- You need to know, honestly, whether a paper is downloadable open access versus only free-to-read versus paywalled — and act correctly on each category.\n\n## The MCP tools it uses\n\nThis skill is backed by the Scholarly Access MCP server (canonical code and README at C:\u002FUsers\u002FPrekzursil\u002Fsource\u002Fagent-skills-toolchain\u002Ftools\u002Fscholarly-access-mcp\u002F). The two primary tools:\n\nSupporting tools you may call first to classify or normalize:\n\n- `paper_access_status(identifier | doi | arxiv)` — category in oa_pdf, free_to_read_not_redistributable, subscription, unavailable, unknown, plus provenance. Use this to decide whether downloading is even appropriate.\n- `paper_resolve(identifier)` — normalize a DOI\u002FPMID\u002FarXiv\u002Ftitle to canonical metadata and ids before retrieval.\n\n## The workflow steps\n\n1. Resolve and classify first. Call `paper_access_status` (or `paper_resolve` then status) on the identifier. Read the returned category.\n2. Branch on the category honestly:\n   - `oa_pdf` — proceed to step 3.\n   - `free_to_read_not_redistributable` — STOP. Do NOT download. Cite the landing-page provenance the tool returned. The item is readable on a publisher or PMC page but not legally fetchable.\n   - `subscription` — STOP. Do NOT download. Cite the paper only.\n3. Find the OA PDF URL. Call `paper_find_oa_pdf` with the DOI or arXiv id. Capture the returned `url`, `license`, and `source`.\n4. Download through the gate. Call `paper_download_oa_pdf` with the allowlisted `url`, your chosen `dest_dir` and `filename`, and the `license` and `source` from step 3. Do not hand it a URL from any other origin.\n5. Record provenance. From the tool result, record the saved path, sha256, byte count, license, and source.\n\n## Concrete examples\n\nDownloadable open access (arXiv) — full happy path:\n\n- `paper_find_oa_pdf(arxiv=\"1706.03762\")` returns an allowlisted arXiv PDF URL plus license, for \"Attention Is All You Need\".\n- `paper_download_oa_pdf(url=\u003Cthat arXiv url>, dest_dir=..., filename=\"attention.pdf\", license=..., source=\"arxiv\")` writes roughly a 2.1 MB PDF and returns its sha256.\n\nDownloadable open access (publisher OA):\n\n- `paper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")` returns `oa_pdf` with a PLOS open-access URL — safe to find and download.\n\nCorrectly NOT downloaded (paywalled \u002F free-to-read):\n\n## Limitations\n\n- `free_to_read_not_redistributable` items are intentionally never downloaded — open or cite the landing page instead.\n- A few sources need API keys (read by env-var NAME only). A missing key means that source is silently skipped, never an error: `UNPAYWALL_EMAIL`, `CORE_API_KEY`, `NCBI_API_KEY`, `SEMANTIC_SCHOLAR_API_KEY` (keyless works), `ELSEVIER_API_KEY`.\n- A too-vague title may resolve as unresolved; provide a DOI\u002FPMID\u002FarXiv id when possible.\n\n## Tested invocation\n\n```text\n# 1. Classify honestly\npaper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")\n  -> category=\"oa_pdf\", PLOS open-access URL + provenance\n\n# 2.\npaper_find_oa_pdf(arxiv=\"1706.03762\")\n  -> { url: \u003Callowlisted arXiv PDF url>, license, source, evidence:[...] }\n\n# 3.\npaper_download_oa_pdf(url=\u003Cthat arXiv url>, dest_dir=\"C:\u002Ftmp\", filename=\"attention.pdf\",\n                      license=\u003Cfrom step 2>, source=\"arxiv\")\n  -> { path, sha256, bytes: ~2_100_000, license, source }\n\n```\n","# Open-Access PDF Retrieval\n\nWhen a paper is only free-to-read (publisher or PMC landing page) or behind a subscription, this skill does NOT download it — it cites the landing page instead. The hard download gate is enforced in server code, not just convention.\n\n## When to use\n\n- You need a verifiable record of where a PDF came from (allowlisted host), under what license, with a sha256 checksum and byte count.\n- You need to know, honestly, whether a paper is downloadable open access versus only free-to-read versus paywalled — and act correctly on each category.\n\n## The MCP tools it uses\n\nThis skill is backed by the Scholarly Access MCP server (canonical code and README at C:\u002FUsers\u002FPrekzursil\u002Fsource\u002Fagent-skills-toolchain\u002Ftools\u002Fscholarly-access-mcp\u002F). The two primary tools:\n\nSupporting tools you may call first to classify or normalize:\n\n- `paper_access_status(identifier | doi | arxiv)` — category in oa_pdf, free_to_read_not_redistributable, subscription, unavailable, unknown, plus provenance. Use this to decide whether downloading is even appropriate.\n- `paper_resolve(identifier)` — normalize a DOI\u002FPMID\u002FarXiv\u002Ftitle to canonical metadata and ids before retrieval.\n\n## The workflow steps\n\n1. Resolve and classify first. Call `paper_access_status` (or `paper_resolve` then status) on the identifier. Read the returned category.\n2. Branch on the category honestly:\n   - `oa_pdf` — proceed to step 3.\n   - `free_to_read_not_redistributable` — STOP. Do NOT download. Cite the landing-page provenance the tool returned. The item is readable on a publisher or PMC page but not legally fetchable.\n   - `subscription` — STOP. Do NOT download. Cite the paper only.\n3. Find the OA PDF URL. Call `paper_find_oa_pdf` with the DOI or arXiv id. Capture the returned `url`, `license`, and `source`.\n4. Download through the gate. Call `paper_download_oa_pdf` with the allowlisted `url`, your chosen `dest_dir` and `filename`, and the `license` and `source` from step 3. Do not hand it a URL from any other origin.\n5. Record provenance. From the tool result, record the saved path, sha256, byte count, license, and source.\n\n## Concrete examples\n\nDownloadable open access (arXiv) — full happy path:\n\n- `paper_find_oa_pdf(arxiv=\"1706.03762\")` returns an allowlisted arXiv PDF URL plus license, for \"Attention Is All You Need\".\n- `paper_download_oa_pdf(url=\u003Cthat arXiv url>, dest_dir=..., filename=\"attention.pdf\", license=..., source=\"arxiv\")` writes roughly a 2.1 MB PDF and returns its sha256.\n\nDownloadable open access (publisher OA):\n\n- `paper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")` returns `oa_pdf` with a PLOS open-access URL — safe to find and download.\n\nCorrectly NOT downloaded (paywalled \u002F free-to-read):\n\n## Limitations\n\n- `free_to_read_not_redistributable` items are intentionally never downloaded — open or cite the landing page instead.\n- A few sources need API keys (read by env-var NAME only). A missing key means that source is silently skipped, never an error: `UNPAYWALL_EMAIL`, `CORE_API_KEY`, `NCBI_API_KEY`, `SEMANTIC_SCHOLAR_API_KEY` (keyless works), `ELSEVIER_API_KEY`.\n- A too-vague title may resolve as unresolved; provide a DOI\u002FPMID\u002FarXiv id when possible.\n\n## Tested invocation\n\n```text\n# 1. Classify honestly\npaper_access_status(doi=\"10.1371\u002Fjournal.pone.0000308\")\n  -> category=\"oa_pdf\", PLOS open-access URL + provenance\n\n# 2.\npaper_find_oa_pdf(arxiv=\"1706.03762\")\n  -> { url: \u003Callowlisted arXiv PDF url>, license, source, evidence:[...] }\n\n# 3.\npaper_download_oa_pdf(url=\u003Cthat arXiv url>, dest_dir=\"C:\u002Ftmp\", filename=\"attention.pdf\",\n                      license=\u003Cfrom step 2>, source=\"arxiv\")\n  -> { path, sha256, bytes: ~2_100_000, license, source }\n\n```\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Foa-pdf-retrieval","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 oa-pdf-retrieval",{"tool":64,"command":65},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill oa-pdf-retrieval",{"tool":67,"command":68},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill oa-pdf-retrieval","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Foa-pdf-retrieval\u002FSKILL.md",true,[],[73,94,120,146,160,176],{"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",[],[80,81,82,83,84,85,86,87,88,36,89,90,91,92,93],"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":103,"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":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[104,105,106,107,108,109,110,111,39,112,113,44,114,115,36,116,117,118,35,119],"openmm md","how","decision","pick","linux","analyze","tool","stack","NVIDIA","gpu","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":132,"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",[126,129],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":130,"categoryName":131,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[46,133,134,135,136,137,138,139,140,141,105,142,143,144,145],"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",[],[148,153,154,155,156,157,158,159],"setup","report","project","installation","project setup","issues","state",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"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",[166],{"categoryNo":101,"categoryName":102,"taxonomyType":21,"taxonomyTypeDesc":22},[162,168,85,169,170,171,36,172,173,174,175],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":177,"name":153,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"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",[],[153,155,118,182,157,183],"files","interactive"]