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Agent Skill · 效率

virtual-patient-roleplay(虚拟患者角色扮演)

virtual-patient-roleplay 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

virtual-patient-roleplay 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 15,116。

总安装 3,208周安装 135GitHub Stars 1下载 1,123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:virtual-patient-roleplay(虚拟患者角色扮演)
来源仓库:https://github.com/aipoch-ai/virtual-patient-roleplay
安装命令:
openclaw skills install virtual-patient-roleplay
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 virtual-patient-roleplay

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

模拟标准化患者进行医疗沟通培训练习。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。支持病史整理排练与医患沟通技巧演练。适合医学生与医护人员提升问诊能力使用。可配置不同病例类型与难度等级。virtual-patient-roleplay 属于效率类 Skill,可作为该场景下的辅助能力补充。

输出为教学反馈,不构成临床诊断依据。

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 virtual-patient-roleplay;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

virtual-patient-roleplay 怎么安装?

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

virtual-patient-roleplay 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。

virtual-patient-roleplay 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

virtual-patient-roleplay 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。

virtual-patient-roleplay 用的人多吗?

公开数据是累计安装 3,208 次,近一周安装 135 次,下载 1,123 次,GitHub 1 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。

virtual-patient-roleplay 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理效率类任务、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。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
virtual-patient-roleplay

虚拟患者角色扮演 · 本页

3,2081只读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
virtual-patient-roleplay
description
Simulate standardized patient encounters for medical training, supporting OSCE-style history-taking practice, communication skills rehearsal, and educational debriefing.
license
MIT
skill-author
AIPOCH

Virtual Patient Roleplay

Structured standardized-patient simulation for medical training and clinical interview practice.

Educational Disclaimer: All output is for training simulation only. This skill does not provide real clinical diagnosis, treatment selection, or emergency instructions. Faculty supervision is required for formal assessment use.

Quick Check

python -m py_compile scripts/main.py
python -c "from scripts.main import PatientSimulator; sim=PatientSimulator('chest_pain'); print(sim.ask('Where does the pain go?')['patient_response'])"

When to Use

  • Use this skill for OSCE-style history-taking practice, communication skills rehearsal, or debrief planning.
  • Use this skill when a learner needs to practice clinical interviewing with a simulated patient response.
  • Do not use this skill for real patient triage, clinical diagnosis, treatment selection, or emergency guidance.

Workflow

  1. Confirm the training goal, scenario type, learner level, and output focus (questioning, bedside manner, or debriefing).
  2. Check whether the request is for live roleplay, case setup, feedback, or post-encounter summary.
  3. Use the packaged simulator for supported scenarios; otherwise provide a manual roleplay scaffold without inventing unsupported medical certainty.
  4. Return the patient response or teaching artifact with assumptions, missed-question prompts, and debrief notes.
  5. If the request exceeds educational scope, stop and restate the boundary explicitly.

Usage

python -c "from scripts.main import PatientSimulator; sim=PatientSimulator('chest_pain'); print(sim.ask('Where does the pain go?')['patient_response'])"
python -c "from scripts.main import PatientSimulator; sim=PatientSimulator('headache'); print(sim.ask('Did the pain start suddenly?')['patient_response'])"

Parameters

ParameterTypeRequiredDefaultDescription
scenariostringNochest_painScenario: chest_pain, headache, abdominal_pain
student_questionstringYes (for interaction)—Learner question posed to the patient
difficultystringNointermediateScenario difficulty level

Output

  • Simulated patient response
  • Scenario-specific cues and debrief elements
  • Explicit reminder that output is educational, not clinical advice

Scope Boundaries

  • This skill supports training simulations, not real clinical triage.
  • This skill does not provide diagnosis, treatment selection, or emergency instructions.
  • This skill should not be used as a substitute for faculty supervision or patient care.

Stress-Case Rules

For complex multi-constraint requests, always include these explicit blocks:

  1. Training Objective
  2. Scenario Assumptions
  3. Roleplay Output
  4. Educational Limits
  5. Debrief and Next Checks

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate clinical certainty, real patient data, or verified diagnostic outcomes.

Input Validation

This skill accepts: a scenario identifier and a learner question for standardized patient simulation in a medical training context.

If the request does not involve educational patient simulation — for example, asking for real clinical diagnosis, treatment recommendations, emergency triage, or non-medical roleplay — do not proceed with the workflow. Instead respond:

"virtual-patient-roleplay is designed for medical training simulations only. Your request appears to be outside this scope. Please provide a scenario and learner question for educational practice, or use a more appropriate tool."

References

Response Template

Use the following fixed structure for non-trivial requests:

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.

平台分布

OpenClaw

76.36%
按下载量换算858

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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