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Agent Skill · 研究检索

medicine(medicine 搜索)

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。

medicine 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,626。

总安装 57,497周安装 2,372GitHub Stars 2下载 18,786核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install medicine;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

medicine 怎么安装?

在终端执行 openclaw skills install medicine。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

medicine 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

medicine 需要什么权限?

权限级别是需要联网。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。

medicine 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

medicine 用的人多吗?

公开数据是累计安装 57,497 次,近一周安装 2,372 次,下载 18,786 次,GitHub 2 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

medicine 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
medicine

medicine 搜索 · 本页

57,4972需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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。目前只有一个公开来源,建议同时核对源仓库。

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