[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-83596":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":22,"hasPages":22,"topics":24,"createdAt":10,"pushedAt":10,"updatedAt":45,"readmeContent":46,"aiSummary":10,"trendingCount":16,"starSnapshotCount":16,"syncStatus":47,"lastSyncTime":48,"discoverSource":49},83596,"medical-research-skills","aipoch\u002Fmedical-research-skills","aipoch","Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.","https:\u002F\u002Faipoch.com\u002Fagent-skills",null,"Python",1097,76,13,1,0,93,94,279,103.06,"MIT License",false,"main",[25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44],"academic-writing","agent-skills","ai","bioinformatics","biology","cancer-genomics","clinical-research","computational-biology","data-analysis","data-visualization","differential-expression","genomics","medical","medical-research","protocol-design","rna-seq-data","science","scrna-seq-data","single-cell","spatial-transcriptomics","2026-06-12 04:01:41","\u003Cdiv align=\"center\">\r\n\r\n# Medical Research Agent Skills\r\n\r\nAdd Skills. Run Your Research.\r\n\r\n\u003Cbr>\r\n\r\n[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-ff6b6b?style=for-the-badge)](.\u002FLICENSE)\r\n![Skills Count](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSkills-500%2B-4dabf7?style=for-the-badge)\r\n![Work%20with](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FWork%20with-OpenClaw%20%7C%20Opencode%20%7C%20Claude%20Code-9775fa?style=for-the-badge)\r\n[![Follow on X](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FFollow%20on%20X-%40aipoch__ai-212529?style=for-the-badge&logo=x&logoColor=white)](https:\u002F\u002Fx.com\u002Faipoch_ai)\r\n[![YouTube](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FYouTube-%40AIPOCH__AI-ff0000?style=for-the-badge&logo=youtube&logoColor=white)](https:\u002F\u002Fwww.youtube.com\u002F@AIPOCH_AI)\r\n\r\n\u003Cbr>\r\n\r\n\u003Ca href=\"https:\u002F\u002Fwww.aipoch.com\u002F\">\r\n    \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F1a6a7005-d9fc-49d5-8dba-3cb822d7e71d\" alt=\"AIPOCH Demo GIF\" width=\"800\"\u002F>\r\n  \u003C\u002Fa>\r\n\r\n\u003C\u002Fdiv>\r\n\r\n---\r\n\r\nA curated library of 550+ medical research agent skills created by [AIPOCH](https:\u002F\u002Fwww.aipoch.com), designed to work with Claude Code, OpenClaw, Hermes Agent, and other AI agents. It supports the research workflow across four core areas: Evidence Insights, Protocol Design, Data Analysis, and Academic Writing. Equip your AI agent with AIPOCH medical research skills, and turn it into a capable medical research assistant.\r\n\r\n> 💡**New:** We are launching **Awesome ​Med​ Research Skills** — a curated collection of medical research Agent Skills, featuring 140+ high-quality skills. Each skill embeds **professional medical research logic**. [Explore here.](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills)\r\n\r\n> AIPOCH also introduces **MedSkillAudit** - a domain-specific audit framework for medical research agent skills [Try skill-auditor here.](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fskill-auditor)\r\n\r\n> ⭐ **Star this repo** — the library is actively maintained and grows with new skills, improvements, and fixes regularly. Hit the star button to keep it close, stay current with the latest releases, and help more researchers discover Medical Research Agent Skills. Every star directly supports the continued development of this library. \r\n\r\n\r\n## 🗂️ Skills Overview\r\n\r\nAll skills in AIPOCH are ​**originally designed and developed in-house**​, built to reflect medical research workflows and standards.\r\n\r\nThe library is primarily organized into five categories: ​**Evidence Insights, Protocol Design, ​Data Analysis,  Academic Writing**​, and Others.\r\n\r\n| 📚**Category** | **Highlights**                                                                                                                        |\r\n| -------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- |\r\n|🔍 **Evidence Insight**   | e.g., search strategy design, database selection, evidence-level prioritization, critical appraisal, literature synthesis and gap identification.|\r\n| 🧪 **Protocol Design**    |e.g., experimental design generation, study type selection, causal inference planning, statistical power calculation, validation strategy.        |\r\n|📊 **Data Analysis**      | e.g., R\u002FPython bioinformatics code generation, statistical modeling, data cleaning pipelines, machine learning workflows, result visualization.  |\r\n|✍️ **Academic Writing**   |  e.g., SCI manuscript drafting, methods\u002Fresults\u002Fdiscussion writing, meta-analysis narrative, cover letters, abstract generation.|\r\n| 🌍 **Other (General \u002F Non-Research)**          | all general skills that do not fall into categories 1–4.                                                                                   |\r\n\r\n**📌 Total Skills in Library: 554 and growing**\r\n\r\nThe examples below represent selected skills from each category.\r\n\r\n## Academic Writing\r\n\r\n* [arXiv Preflight](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FAcademic%20Writing\u002Farxiv-preflight)\r\n* [Target Journal Matcher](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FAcademic%20Writing\u002Ftarget-journal-matcher)\r\n* [Reporting Guideline Compliance Checker](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FAcademic%20Writing\u002Freporting-guideline-compliance-checker)\r\n* [Medical English Precision Editor](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FAcademic%20Writing\u002Fmedical-english-precision-editor)\r\n\r\n## Evidence Insights\r\n\r\n### Literature Discovery\r\n\r\n* [Biomedical Search Strategy Builder](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fbiomedical-search-strategy-builder)\r\n* [Multi-Database Literature Collector](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fmulti-database-literature-collector)\r\n* [High-Value Paper Screener](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fhigh-value-paper-screener)\r\n* [Preprint Surveillance Finder](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fpreprint-surveillance-finder)\r\n\r\n### Evidence Mapping & Topic Exploration\r\n\r\n* [Biomarker Landscape Scanner](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fbiomarker-landscape-scanner)\r\n* [Topic Evidence Mapper](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Ftopic-evidence-mapper)\r\n* [Disease Mechanism Evidence Map](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fdisease-mechanism-evidence-map)\r\n* [Drug-Target Evidence Landscape](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fdrug-target-evidence-landscape)\r\n\r\n### Scientific Reading & Interpretation\r\n\r\n* [Study Design Identifier](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fstudy-design-identifier)\r\n* [Result Reliability Checker](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fresult-reliability-checker)\r\n* [Figure-First Paper Reader](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Ffigure-first-paper-reader)\r\n* [Contradictory Findings Resolver](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fcontradictory-findings-resolver)\r\n* [Paper-to-Claim Verifier](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fpaper-to-claim-verifier)\r\n\r\n### Research Gap Discovery\r\n\r\n* [Medical Research Gap Finder](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fmedical-research-gap-finder)\r\n* [Unmet Clinical Need Extractor](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Funmet-clinical-need-extractor)\r\n* [Population Gap Detector](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fpopulation-gap-detector)\r\n* [Method Gap Detector](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FEvidence%20Insight\u002Fmethod-gap-detector)\r\n\r\n## Protocol Design\r\n\r\n### Clinical & Translational Study Design\r\n\r\n* [Aim and Hypothesis Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Faim-and-hypothesis-designer)\r\n* [Translational Study Blueprint](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Ftranslational-study-blueprint)\r\n* [Validation Strategy Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fvalidation-strategy-designer)\r\n* [Clinical Cohort Protocol Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fclinical-cohort-protocol-designer)\r\n* [Real-World Evidence Study Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Freal-world-evidence-study-designer)\r\n\r\n### Biomarker, Omics & Genetics Planning\r\n\r\n* [Prognostic Biomarker Protocol Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fprognostic-biomarker-protocol-designer)\r\n* [Single Cell Research Planner](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fsingle-cell-research-planner)\r\n* [Bulk Omics Integrative Planner](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fbulk-omics-integrative-planner)\r\n* [Multi-Omics Clinical Integration Planner](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fmulti-omics-clinical-integration-planner)\r\n\r\n### Research Execution Planning\r\n\r\n* [Inclusion-Exclusion Criteria Builder](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Finclusion-exclusion-criteria-builder)\r\n* [Endpoint Definition Designer](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fendpoint-definition-designer)\r\n* [Sample Size and Power Planning Assistant](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Fsample-size-and-power-planning-assistant)\r\n* [Feasibility-Aware Study Planner](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FProtocol%20Design\u002Ffeasibility-aware-study-planner)\r\n\r\n## Data Analysis\r\n\r\n### Differential Expression & Data Processing\r\n\r\n* [Differential Expression Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fdifferential-expression-analysis)\r\n* [Batch Effect Correction](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fbatch-effect-correction)\r\n* [Gene-Protein Expression Matrix Normalization](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fgene-protein-expression-matrix-normalization)\r\n\r\n### Machine Learning & Feature Selection\r\n\r\n- [LightGBM-analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002FLightGBM-analysis)\r\n- [XGBoost-analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002FXGBoost-analysis)\r\n- [rf-model-importance-analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Frf-model-importance-analysis)\r\n- [decision-tree-analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fdecision-tree-analysis)\r\n- [svm-model-importance-analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fsvm-model-importance-analysis)\r\n- [Elastic Net Feature Selection](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Felastic-net-feature-selection)\r\n- [LASSO Logistics Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Flasso-logistics-analysis)\r\n\r\n### Clustering & Dimensionality Reduction\r\n\r\n* [Consensus Clustering Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fconsensus-clustering-analysis)\r\n* [PCA Dimensionality Reduction](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fpca-dimensionality-reduction)\r\n* [UMAP and t-SNE Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fumap-tsne-analysis)\r\n\r\n### Functional Enrichment & Pathway Analysis\r\n\r\n* [GO\u002FKEGG Enrichment Analysis and Visualization](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fgokegg)\r\n* [GSEA Analysis and Visualization](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fgsea)\r\n* [GSVA Analysis and Visualization](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fgsva-analysis-and-visualization)\r\n\r\n### Immune Infiltration Analysis\r\n\r\n* [CIBERSORT Immune Infiltration Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fcibersort-immune-infiltration-analysis)\r\n* [ESTIMATE Immune Score Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Festimate-immune-score-analysis)\r\n* [ssGSEA Immune Infiltration Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fssgsea-immune-infiltration-analysis)\r\n* [Immune Pathway Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fimmune-pathway-analysis)\r\n\r\n### Network Biology & Regulatory Analysis\r\n\r\n* [WGCNA Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fwgcna-analysis)\r\n* [PPI Network Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fppi-network-analysis)\r\n* [TF-Target Gene Regulatory Network Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Ftf-target-gene-regulatory-network)\r\n* [ceRNA  Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fcerna-analysis)\r\n\r\n### Survival & Statistical Modeling\r\n\r\n* [Kaplan-Meier Survival Curve Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fkm-survival-curve)\r\n* [Univariate and Multivariable Cox Regression Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Funivariate-multivariable-cox-regression)\r\n* [ROC Diagnostic Performance Analysis](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Froc-diagnostic-performance)\r\n* [Nomogram Construction](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fawesome-med-research-skills\u002FData%20Analysis\u002Fnomogram-construction)\r\n\r\n\r\n## 🚀 How to Start?\r\n\r\n### ⚙️ Requirements\r\n\r\n​**Host Platform**​: OpenClaw (installed and running) or **any compatible AI Agent framework that supports Skill integration**.\r\n\r\nIf you don't have OpenClaw,[ please follow the official OpenClaw setup guide.](https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw)\r\n\r\n​**Git**​: Required for cloning the repository. [Git LFS](https:\u002F\u002Fgit-lfs.com\u002F)\r\n\r\n### 🦞 Connect with OpenClaw\r\n\r\n#### **Method 1:**\r\n\r\n**I'm a human**\r\n\r\n```markdown\r\ncurl -sL https:\u002F\u002Faipoch.com\u002Fskill.md > .\u002Fskills\u002Faipoch.md\r\n```\r\n\r\n1. Run the command to initialize setup\r\n2. Select 'OpenClaw' as your target agent\r\n3. Follow the prompts to link your library\r\n\r\n**I'm an agent**\r\n\r\n```markdown\r\nRead https:\u002F\u002Faipoch.com\u002Fskill.md and follow the instructions to join Aipoch\r\n```\r\n\r\n1. Download the integration guide\r\n2. Manually configure your agent's skill path\r\n3. Verify the connection in your dashboard\r\n\r\n---\r\n\r\n#### **Method 2:**\r\n\r\n**🦞 Install into OpenClaw Plug-in**\r\n\r\n[OpenClaw](https:\u002F\u002Fopenclaw.ai) is a self-hosted AI agent gateway. You can install all AIPOCH skills into OpenClaw with a single command.\r\n\r\n**macOS \u002F Linux \u002F WSL:**\r\n\r\n```bash\r\nbash \u003C(curl -s https:\u002F\u002Fraw.githubusercontent.com\u002Faipoch\u002Fmedical-research-skills\u002Fmain\u002Fscientific-skills\u002Fscripts\u002Fopenclaw-install.sh)\r\n```\r\n\r\n**Windows (Git Bash):**\r\n\r\n```bash\r\ncurl -s https:\u002F\u002Fraw.githubusercontent.com\u002Faipoch\u002Fmedical-research-skills\u002Fmain\u002Fscientific-skills\u002Fscripts\u002Fopenclaw-install.sh -o \u002Ftmp\u002Finstall.sh\r\nbash \u002Ftmp\u002Finstall.sh\r\n```\r\n\r\nThe script will:\r\n\r\n1. Clone this repository into a temporary directory\r\n2. Copy all `SKILL.md` skill folders into `~\u002F.openclaw\u002Fskills\u002F`\r\n3. Skip any skills that are already installed\r\n\r\nAfter installation, restart your gateway to pick up the new skills:\r\n\r\n```bash\r\nopenclaw gateway restart\r\n```\r\n\r\n> **Tip:** Run with `--dry-run` first to preview what will be installed without making any changes.\r\n> \r\n> ```bash\r\n> bash \u003C(curl -s https:\u002F\u002Fraw.githubusercontent.com\u002Faipoch\u002Fmedical-research-skills\u002Fmain\u002Fscientific-skills\u002Fscripts\u002Fopenclaw-install.sh) --dry-run\r\n> ```\r\n\r\n> **Note:** Skills are installed to `~\u002F.openclaw\u002Fskills\u002F` by default (visible to all agents). To install into a specific workspace instead, set the environment variable before running:\r\n> \r\n> ```bash\r\n> OPENCLAW_SKILLS_DIR=~\u002F.openclaw\u002Fworkspace\u002Fskills bash \u003C(curl -s https:\u002F\u002Fraw.githubusercontent.com\u002Faipoch\u002Fmedical-research-skills\u002Fmain\u002Fscientific-skills\u002Fscripts\u002Fopenclaw-install.sh)\r\n> ```\r\n\r\n---\r\n\r\n## 🎬 AIPOCH Medical Research Skills — Demo\r\n\r\n\u003Cp align=\"center\">\r\n  \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Pq4E9mCO1t8\" target=\"_blank\">\r\n\u003Cimg width=\"4480\" height=\"2516\" alt=\"medical research literature reader pro\" src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fc3de83ec-43d8-4c37-8079-6354c138b0fa\" \u002F>\r\n  \u003C\u002Fa>\r\n\u003C\u002Fp>\r\n\r\n\u003Cp align=\"center\">\r\nA brief showcase of AIPOCH Medical Research Skills in action across research workflows.\r\n\u003C\u002Fp>\r\n\r\n## What is Awesome Med Research Skills?\r\n\r\n**Awesome ​Med Research Skills** is a curated collection of medical research Agent Skills, currently including **140 high-quality skills**.\r\n\r\nWe aim to help researchers more effectively organize questions, connect evidence, and advance research. To achieve this, we encode professional medical research logic into these agent skills:\r\n\r\n* **Literature ​authenticity constraints**​: Implementing hard rules\r\n* ​**Research type identification**​: We first determine the study type, then execute different logical pathways\r\n* **Medical-specific prompt logic**\r\n\r\n### Key Features of Awesome Med Research Skills\r\n\r\n#### Modular Skill Architecture for Team Scaling\r\n\r\n* Skills are **composable, replaceable, and extensible**, suitable for both individual use and team collaboration\r\n* Can be assembled from single-task execution to multi-step workflow pipelines\r\n\r\n#### Built for Real Medical Research Scenarios\r\n\r\n* Covers real workflows: **topic selection, literature search, study design, writing, graphical abstracts**, and more\r\n* Not adapted from generic content templates — designed specifically for **medical research contexts**.\r\n\r\n## What is MedSkillAudit?\r\n\r\n\u003Cp align=\"center\">\r\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F583a861f-dc51-4078-ba11-0f64984d8815\" width=\"800\" \u002F>\r\n\u003C\u002Fp>\r\n\r\nMedSkillAudit is a domain-specific audit framework for medical research agent skills. Try [Skill-Auditor here](https:\u002F\u002Fgithub.com\u002Faipoch\u002Fmedical-research-skills\u002Ftree\u002Fmain\u002Fskill-auditor).\r\n\r\n### How does MedSkillAudit Work?\r\n\r\n#### Veto Gates\r\n\r\nTo enforce strict quality control, MedSkillAudit is designed with two layers of veto mechanisms. Any failure in these checks may lead to immediate rejection of a skill.\r\n\r\n##### Skill ​Veto\r\n\r\n* Operational Stability\r\n* Structural Consistency\r\n* Result Determinism\r\n* System Security\r\n\r\n##### Research ​Veto\r\n\r\n* Scientific Integrity\r\n* Practice Boundaries\r\n* Methodological Ground\r\n* Code Usability\r\n\r\n#### Core Capability\r\n\r\nEvaluates a skill’s design and contract against key dimensions such as **Functional Suitability, Reliability, Performance & Context, Agent Usability, Human Usability, Security, Agent-Specific and Maintainability.**\r\n\r\n#### Medical Task\r\n\r\nAssesses actual outputs of a skill with layered criteria.\r\n\r\nFor skill testing, the AI automatically generates inputs. The number of inputs in specific categories will increase or decrease depending on the complexity of the skill. The following 7 inputs represent the most comprehensive version.\r\n\r\n* Canonical\r\n* Variant A\r\n* Edge\r\n* Variant B\r\n* Stress\r\n* Scope Boundary\r\n* Adversarial\r\n\r\n**Skill Complexity Classification**\r\n\r\n| Label    | Code\u002FRank | Definition                                |\r\n| ---------- | ----------- | ------------------------------------------- |\r\n| Simple   | S         | Narrow task scope                         |\r\n| Moderate |M         | Moderate branching or multiple task types |\r\n| Complex  | C         | Broad or multi-step specialized skill     |\r\n\r\n**Simple (S):** 3 inputs\r\n\r\n**Moderate (M):** 5 inputs\r\n\r\n**Complex (C):** 7 inputs\r\n\r\n### Final Score\r\n\r\nSkills passing both veto gates received a final quality score. The MedSkillAudit uses a two-stage scoring system: static evaluation (design quality, accounting for 40%) and dynamic evaluation (runtime performance, accounting for 60%). The final overall score is derived by combining both.\r\n\r\n* Static (40%)\r\n* Dynamic (60%)\r\n\r\nFinal Score = Static Score × 40% + Dynamic Score × 60%\r\n\r\nYou can [view evaluation results for selected AIPOCH skills here](https:\u002F\u002Fwww.aipoch.com\u002Fleaderboard\u002Fitems\u002Fdiscussion-section-architect).\r\n\r\n## Star History\r\n\r\n\u003Ca href=\"https:\u002F\u002Fwww.star-history.com\u002F?repos=aipoch%2Fmedical-research-skills&type=date&legend=top-left\">\r\n \u003Cpicture>\r\n   \u003Csource media=\"(prefers-color-scheme: dark)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fimage?repos=aipoch\u002Fmedical-research-skills&type=date&theme=dark&legend=top-left\" \u002F>\r\n   \u003Csource media=\"(prefers-color-scheme: light)\" srcset=\"https:\u002F\u002Fapi.star-history.com\u002Fimage?repos=aipoch\u002Fmedical-research-skills&type=date&legend=top-left\" \u002F>\r\n   \u003Cimg alt=\"Star History Chart\" src=\"https:\u002F\u002Fapi.star-history.com\u002Fimage?repos=aipoch\u002Fmedical-research-skills&type=date&legend=top-left\" \u002F>\r\n \u003C\u002Fpicture>\r\n\u003C\u002Fa>\r\n\r\n",2,"2026-06-11 04:11:24","high_star"]