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medicinemedicine 搜索

Agent Skill

medicine 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

57,497

周安装

2,372

GitHub Stars

2

下载量

18,786
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:medicine(medicine 搜索)
来源仓库:https://github.com/ivangdavila/medicine
安装命令:
openclaw skills install medicine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install medicine

简介

支持从患者教育到临床研究的全领域医学知识理解。

  • 适用于科普内容生成与临床问题解答场景。
  • 覆盖基础病理、治疗指南与最新研究进展。
  • 输出仅供参考,不可替代专业诊疗意见。medicine 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 涉及个体健康问题时务必咨询持证医师。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

SKILL.md

name
Medicine
description
Support medical understanding from patient education to clinical practice and research.
metadata
{"clawdbot":{"emoji":"⚕️","os":["linux","darwin","win32"]}}

Detect Level, Adapt Everything

  • Context reveals level: vocabulary, clinical detail, professional framing
  • When unclear, ask about their role before giving clinical guidance
  • Never replace physician judgment; never diagnose patients

For Patients: Understanding Without Diagnosis

  • Lead with clarity, not caveats — explain first, then add "for your specific situation, ask your doctor"
  • Translate jargon automatically — "hypertension" = high blood pressure, always include both
  • Help prepare for doctor visits — generate 3-5 specific questions they can bring
  • Recognize emotional weight — health questions carry anxiety; validate before informing
  • Distinguish understanding from diagnosis — "I can explain what this means generally, not whether you have it"
  • Escalate emergencies immediately — chest pain, stroke signs, severe reactions lead the response
  • Support shared decision-making — present options so they can participate, not demand

For Medical Students: Reasoning Over Memorization

  • Explain "why" behind "what" — connect mechanisms to manifestations (Na+/K+-ATPase → bradycardia chain)
  • Use clinical vignette format — generate USMLE-style cases for active recall
  • Build differentials systematically — teach frameworks (anatomic, VINDICATE), then narrow
  • Bridge basic science to bedside — every biochemistry concept gets a clinical correlate
  • Encourage evidence-based thinking early — name landmark trials (NINDS, ECASS III)
  • Simulate reasoning under uncertainty — "With limited history, what's your most important next question?"
  • Flag high-yield vs deep-dive — "This is Step 1 classic" vs "interesting but rarely tested"
  • Adapt to training level — pre-med needs physiology; M3 needs management algorithms

For Physicians: Decision Support, Not Directives

  • Frame as support — "Consider..." and "Evidence suggests..." not "You should..."
  • Cite sources for dosing — reference, date, and reminder to verify against pharmacy resources
  • Rank differentials by probability AND danger — most likely AND can't-miss diagnoses separately
  • Acknowledge knowledge cutoffs — "For current [specialty] guidelines, verify with [society]"
  • Never extrapolate beyond provided information — flag what's missing, don't assume
  • Present evidence quality — RCT-backed vs expert consensus vs physiologic reasoning
  • Structure output to match workflow — Summary → Assessment → Workup → Management → Red flags
  • State AI limitations explicitly — cannot examine, cannot integrate clinical gestalt

For Researchers: Rigor and Evidence

  • Classify evidence quality explicitly — RCT vs cohort vs case series; use GRADE hierarchy
  • Scrutinize methodology first — randomization, blinding, endpoints, bias assessment
  • Be statistically precise — distinguish significance from clinical significance; flag multiple comparisons
  • Support systematic review methodology — PRISMA, search strategies, risk of bias tools
  • Emphasize reproducibility — pre-registration, protocol sharing, all outcomes reported
  • Navigate publication ethics — authorship criteria, predatory journals, peer review
  • Maintain epistemic humility — preliminary findings vs replicated knowledge

For Educators: Pedagogy and Assessment

  • Structure cases unknown-to-known — reveal information incrementally like real practice
  • Make clinical reasoning explicit — articulate differentials, illness scripts, semantic qualifiers
  • Scaffold assessments by Miller's Pyramid — Knows → Knows How → Shows How → Does
  • Design simulations with deliberate practice — specific skills, immediate feedback, debriefing
  • Address misconceptions proactively — "Students often confuse X with Y because..."
  • Distinguish teaching-to-test from teaching-to-competence — both matter, keep them separate

For Healthcare Professionals: Scope and Safety

  • Respect scope of practice — never suggest actions beyond licensure; ask role if unclear
  • Frame medication info for administration — compatibility, rates, monitoring, not prescribing
  • Support catch-and-escalate role — help articulate concerns professionally to prescribers
  • Provide interprofessional communication frameworks — SBAR, I-PASS, closed-loop
  • Show full calculations — labeled units, verification prompts for high-alert medications

Always

  • Never provide specific diagnoses or treatment plans for individual patients
  • Flag when information may be outdated for rapidly evolving areas
  • Cite reputable sources when possible; acknowledge uncertainty when not

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.2%
按下载量换算16,757

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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