[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DMCJ4JPADCWCQ73TQ6C19W":3,"skill-same:01M6DMCJ4JPADCWCQ73TQ6C19W":55},{"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":18,"publishedAt":22,"linkOnly":23,"markdownContent":24,"markdownBody":25,"frontMatter":26,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":6,"ownerHtmlUrl":38,"ownerBlogUrl":6,"ownerDescription":39,"updatedAt":40,"install":41,"resources":54},"01M6DMCJ4JPADCWCQ73TQ6C19W","variant-functional-prediction",null,"Query FAVOR API for variant functional prediction scores (CADD, SIFT, PolyPhen, REVEL, etc.) and gene annotation.","InternScience\u002FDrClaw","InternScience","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F154449623?v=4","01M6DHY1ZF02QASNAVMNPT7NP6","Intern Science","01M6DHY2523FY56Q5572NKAAD0",172,"MIT","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fgene\u002Fvariant-functional-prediction\u002FSKILL.md",[],[19,20,21],"variant functional prediction","api","query","2026-11-10 10:12:30",false,"---\nname: variant-functional-prediction\ndescription: Query FAVOR API for variant functional prediction scores (CADD, SIFT,\n  PolyPhen, REVEL, etc.) and gene annotation.\nlicense: MIT license\nmetadata:\n  skill-author: PJLab\ni18n:\n  zh:\n    description: 查询变异功能预测评分及基因注释。\n---\n\n# FAVOR Functional Prediction\n\n## Usage\n\n### Tool Description\n\n```tex\nQuery FAVOR (GenoHub) API to get variant functional prediction scores.\nAPI: GET https:\u002F\u002Fapi.genohub.org\u002Fv1\u002Frsids\u002F{rs_id}\nNote: Returns a JSON list; use first element.\nArgs:\n    rs_id (str): dbSNP rsID (e.g. \"rs7412\")\nReturn:\n    Gene name, exonic category, functional prediction scores\n    (CADD, SIFT, PolyPhen2, MutationTaster, GERP, etc.)\n```\n\n### Query Example\n\n```python\nimport requests\n\nrs_id = \"rs7412\"\nurl = f\"https:\u002F\u002Fapi.genohub.org\u002Fv1\u002Frsids\u002F{rs_id}\"\nresp = requests.get(url, timeout=30).json()\nd = resp[0] if isinstance(resp, list) else resp\n\nprint(f\"[FAVOR] variant: {d.get('variant_vcf')}\")\nprint(f\"[FAVOR] 基因: {d.get('genecode_comprehensive_info')}\")\nprint(f\"[FAVOR] 区域: {d.get('genecode_comprehensive_category')}\")\nprint(f\"[FAVOR] 外显子变异类别: {d.get('genecode_comprehensive_exonic_category')}\")\nprint(f\"[FAVOR] CADD phred: {d.get('cadd_phred')} (>20=有害)\")\nprint(f\"[FAVOR] SIFT: {d.get('sift_cat')} (val={d.get('sift_val')})\")\nprint(f\"[FAVOR] PolyPhen2 HDIV: {d.get('polyphen2_hdiv_score')}\")\nprint(f\"[FAVOR] PolyPhen2 HVAR: {d.get('polyphen2_hvar_score')}\")\nprint(f\"[FAVOR] MutationTaster: {d.get('mutation_taster_score')}\")\nprint(f\"[FAVOR] MutationAssessor: {d.get('mutation_assessor_score')}\")\nprint(f\"[FAVOR] MetaSVM pred: {d.get('metasvm_pred')}\")\nprint(f\"[FAVOR] GERP_N: {d.get('gerp_n')}, GERP_S: {d.get('gerp_s')}\")\nprint(f\"[FAVOR] BRAVO AF: {d.get('bravo_af')}\")\n```\n","# FAVOR Functional Prediction\n\n## Usage\n\n### Tool Description\n\n```tex\nQuery FAVOR (GenoHub) API to get variant functional prediction scores.\nAPI: GET https:\u002F\u002Fapi.genohub.org\u002Fv1\u002Frsids\u002F{rs_id}\nNote: Returns a JSON list; use first element.\nArgs:\n    rs_id (str): dbSNP rsID (e.g. \"rs7412\")\nReturn:\n    Gene name, exonic category, functional prediction scores\n    (CADD, SIFT, PolyPhen2, MutationTaster, GERP, etc.)\n```\n\n### Query Example\n\n```python\nimport requests\n\nrs_id = \"rs7412\"\nurl = f\"https:\u002F\u002Fapi.genohub.org\u002Fv1\u002Frsids\u002F{rs_id}\"\nresp = requests.get(url, timeout=30).json()\nd = resp[0] if isinstance(resp, list) else resp\n\nprint(f\"[FAVOR] variant: {d.get('variant_vcf')}\")\nprint(f\"[FAVOR] 基因: {d.get('genecode_comprehensive_info')}\")\nprint(f\"[FAVOR] 区域: {d.get('genecode_comprehensive_category')}\")\nprint(f\"[FAVOR] 外显子变异类别: {d.get('genecode_comprehensive_exonic_category')}\")\nprint(f\"[FAVOR] CADD phred: {d.get('cadd_phred')} (>20=有害)\")\nprint(f\"[FAVOR] SIFT: {d.get('sift_cat')} (val={d.get('sift_val')})\")\nprint(f\"[FAVOR] PolyPhen2 HDIV: {d.get('polyphen2_hdiv_score')}\")\nprint(f\"[FAVOR] PolyPhen2 HVAR: {d.get('polyphen2_hvar_score')}\")\nprint(f\"[FAVOR] MutationTaster: {d.get('mutation_taster_score')}\")\nprint(f\"[FAVOR] MutationAssessor: {d.get('mutation_assessor_score')}\")\nprint(f\"[FAVOR] MetaSVM pred: {d.get('metasvm_pred')}\")\nprint(f\"[FAVOR] GERP_N: {d.get('gerp_n')}, GERP_S: {d.get('gerp_s')}\")\nprint(f\"[FAVOR] BRAVO AF: {d.get('bravo_af')}\")\n```\n",{"i18n":27,"name":5,"license":30,"metadata":31,"description":7},{"zh":28},{"description":29},"查询变异功能预测评分及基因注释。","MIT license",{"skill-author":32},"PJLab","main","4f96df0d9df0eae24a992afabe08edec5fc575f0","drclaw\u002Flocal_skill_hub\u002Fscience\u002Fgene\u002Fvariant-functional-prediction",10,"https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw","https:\u002F\u002Fgithub.com\u002FInternScience","Shanghai Artificial Intelligence Laboratory","2026-03-20 17:06:10",{"source":8,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add InternScience\u002FDrClaw --skill variant-functional-prediction",{"tool":47,"command":48},"bunx","bunx skills add InternScience\u002FDrClaw --skill variant-functional-prediction",{"tool":50,"command":51},"pnpm","pnpm dlx skills add InternScience\u002FDrClaw --skill variant-functional-prediction","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fgene\u002Fvariant-functional-prediction\u002FSKILL.md",true,[],[56,93,116,134,152,167],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":72,"publishedAt":22},"01M6DMQESTSBW8VJW03QWHMT85","scientific-critical-thinking","Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fthinking\u002Fscientific-critical-thinking\u002FSKILL.md",[62,67],{"categoryNo":63,"categoryName":64,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":68,"categoryName":69,"taxonomyType":70,"taxonomyTypeDesc":71},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],"critical","scientific critical thinking","thinking","design","writing","review","risk","analysis","peer review","Bash","quality","read","write","edit","use","evidence","peer","frameworks","teaching","bias",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":99,"publishedAt":22},"01M6DMQ77Z121463E049G2DG8K","scientific-brainstorming","Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fthinking\u002Fscientific-brainstorming\u002FSKILL.md",[],[100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,87],"brainstorming","scientific brainstorming","research ideation","stage","connections","generation","exploration","do","planning","creative","ideation","research","sessions","data","hypothesis","open",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":128,"publishedAt":22},"01M6DMPV4AMCCTWARGPSFHDWJB","scientific-literature-search","Search scientific literature and research papers using FlowSearch to find relevant academic articles and publications.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fscientific-literature-search\u002FSKILL.md",[122,125],{"categoryNo":123,"categoryName":124,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":126,"categoryName":127,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000023","Skill与智能体开发",[129,130,111,131,132,133],"search","scientific literature search","find","Academic","搜索",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":146,"publishedAt":22},"01M6DMPQJP8HVFV54V05D6K9HA","pubmed-article-search","Search PubMed database for scientific articles and publications to retrieve biomedical literature.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fpubmed-article-search\u002FSKILL.md",[140,143],{"categoryNo":141,"categoryName":142,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":144,"categoryName":145,"taxonomyType":70,"taxonomyTypeDesc":71},"01JBSEEDCAT000000000000036","内容创作者",[147,148,129,133,149,150,151],"pubmed article search","article","database","pubmed database","biomedical",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":159,"publishedAt":22},"01M6DMPK4H3JQ185M97BRB9KQJ","biomedical-web-search","Search biomedical literature and web content using Tavily search engine for research and clinical information.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fsearch\u002Fbiomedical-web-search\u002FSKILL.md",[158],{"categoryNo":123,"categoryName":124,"taxonomyType":65,"taxonomyTypeDesc":66},[160,151,161,129,162,163,111,164,165,133,166],"biomedical web search","web search","web","tavily","content","engine","clinical",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":174,"publishedAt":22},"01M6DMNNJH9V1S5PQHZRX0N934","uniprot-protein-retrieval","Retrieve protein sequences and functional information from UniProt database by protein name, enabling protein analysis and bioinformatics workflows.","https:\u002F\u002Fgithub.com\u002FInternScience\u002FDrClaw\u002Fblob\u002Fmain\u002Fdrclaw\u002Flocal_skill_hub\u002Fscience\u002Fprotein\u002Funiprot-protein-retrieval\u002FSKILL.md",[173],{"categoryNo":126,"categoryName":127,"taxonomyType":65,"taxonomyTypeDesc":66},[175,149,80,176,177,178,179],"uniprot protein retrieval","uniprot database","bioinformatics","name","workflows"]