Show HN: We Evaluates Medical Research Agent Skills
hackernews
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📦 오픈소스
#ai에이전트
#claude
#showhn
#tip
#데이터분석
#의료연구
#학술작성
#ai 에이전트
#show hn
#데이터 분석
#오픈소스
#의료 연구
원문 출처: hackernews · Genesis Park에서 요약 및 분석
요약
AIPOCH는 OpenClaw 등 다양한 AI 에이전트 플랫폼과 연동되어 의료 연구를 보조하는 420개 이상의 특화된 스킬 라이브러리입니다. 근거 통찰, 프로토콜 설계, 데이터 분석, 논문 작성 등 5가지 주요 카테고리로 구성되어 있으며, 사용자는 단일 명령어를 통해 쉽게 설치할 수 있습니다. 특히 스킬이 공식 배포되기 전에 과학적 무결성과 시스템 보안, 운영 안정성 등의 기준을 바탕으로 포괄적인 품질 검사를 수행하는 '의료 스킬 감사자(Medical Skill Auditor)' 평가 프레임워크를 도입하여 엄격한 품질 관리를 제공합니다.
본문
Add Skills. Run Your Research. 420+ medical research skills · Evidence Insights · Protocol Design · Data Analysis · Academic Writing ⭐ If you find this repository useful, consider giving it a star! It helps more researchers discover Medical Research Agent Skills and supports the continued development of this library. AIPOCH is a curated library of 420+ Medical Research Agent Skills, built to work with OpenClaw and other AI agent platforms, including OpenCode and Claude. It supports the research workflow across four core areas: Evidence Insights, Protocol Design, Data Analysis, and Academic Writing. Equip your AI agent with Medical Research Skills, and turn it into a capable medical research assistant. AIPOCH also introduces Medical Skill Auditor— a structured evaluation framework designed to assess the quality of Medical Research Agent Skills. Its core function is to perform a comprehensive quality check on a Skill before it is officially deployed to users. You can view evaluation results for selected AIPOCH skills here. All skills in AIPOCH are originally designed and developed in-house, built to reflect medical research workflows and standards. The library is primarily organized into five categories: Evidence Insights, Protocol Design, Data Analysis, Academic Writing, and Others. | 📚Category | Highlights | |---|---| | 🔍 Evidence Insight | e.g., search strategy design, database selection, evidence-level prioritization, critical appraisal, literature synthesis and gap identification. | | 🧪 Protocol Design | e.g., experimental design generation, study type selection, causal inference planning, statistical power calculation, validation strategy. | | 📊 Data Analysis | e.g., R/Python bioinformatics code generation, statistical modeling, data cleaning pipelines, machine learning workflows, result visualization. | | ✍️ Academic Writing | e.g., SCI manuscript drafting, methods/results/discussion writing, meta-analysis narrative, cover letters, abstract generation. | | 🌍 Other (General / Non-Research) | all general skills that do not fall into categories 1–4. | 📌 Total Skills in Library: 420 and growing A brief showcase of AIPOCH Medical Research Skills in action across research workflows. Host Platform: OpenClaw (installed and running) or any compatible AI Agent framework that supports Skill integration. If you don't have OpenClaw, please follow the official OpenClaw setup guide. Git: Required for cloning the repository. Git LFS I'm a human curl -sL https://aipoch.com/skill.md > ./skills/aipoch.md - Run the command to initialize setup - Select 'OpenClaw' as your target agent - Follow the prompts to link your library I'm an agent Read https://aipoch.com/skill.md and follow the instructions to join Aipoch - Download the integration guide - Manually configure your agent's skill path - Verify the connection in your dashboard 🦞 Install into OpenClaw Plug-in OpenClaw is a self-hosted AI agent gateway. You can install all AIPOCH skills into OpenClaw with a single command. macOS / Linux / WSL: bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh) Windows (Git Bash): curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh -o /tmp/install.sh bash /tmp/install.sh The script will: - Clone this repository into a temporary directory - Copy all SKILL.md skill folders into~/.openclaw/skills/ - Skip any skills that are already installed After installation, restart your gateway to pick up the new skills: openclaw gateway restart Tip: Run with --dry-run first to preview what will be installed without making any changes.bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh) --dry-run Note: Skills are installed to ~/.openclaw/skills/ by default (visible to all agents). To install into a specific workspace instead, set the environment variable before running:OPENCLAW_SKILLS_DIR=~/.openclaw/workspace/skills bash <(curl -s https://raw.githubusercontent.com/aipoch/medical-research-skills/main/scientific-skills/scripts/openclaw-install.sh) Skill Evaluator is a standardized tool designed to assess the quality of Agent Skills. Its core function is to perform a comprehensive quality check on a Skill before it is officially deployed to users. To enforce strict quality control, Skill Auditor is designed with two layers of veto mechanisms. Any failure in these checks may lead to immediate rejection of a skill. - Operational Stability - Structural Consistency - Result Determinism - System Security - Scientific Integrity - Practice Boundaries - Methodological Ground - Code Usability Evaluates 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. Assesses actual outputs of a skill with
Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.
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