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virtual-patient-roleplay

Simulate standardized patient encounters for medical training, supporting OSCE-style history-taking practice, communication skills rehearsal, and educational debriefing.

Install / Use

npx skills add aipoch/medical-research-skills --skill virtual-patient-roleplay

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

88/100

Supported Platforms

Zed

Our assessment of virtual-patient-roleplay

virtual-patient-roleplay scores 88/100 on our quality scale, 132nd of 255 Customer Support skills we index.

Its SKILL.md is 4.8 KB long, well organised into 13 sections with 2 code examples: a solid amount of guidance for an agent.

With 1,916 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
18/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 12 days ago, so virtual-patient-roleplay is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

virtual-patient-roleplay compared with similar skills

All 4 of these similar skills score higher than virtual-patient-roleplay; compare them before choosing.

SkillScoreStarsUpdatedFormat
virtual-patient-roleplay (this skill)by aipoch881.9k12d agoSKILL.md
Agent-Reachby Panniantong10086.2k14d agoCLAUDE.md
algorithmic-artby anthropics100177.9k7d agoSKILL.md
pptxby anthropics100177.9k7d agoSKILL.md
designby nextlevelbuilder100130.2k8d agoSKILL.md

Frequently asked questions

How do I install virtual-patient-roleplay?
Run npx skills add aipoch/medical-research-skills --skill virtual-patient-roleplay. The install tabs above show the steps for each supported agent.
Which AI agents does virtual-patient-roleplay work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is virtual-patient-roleplay safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is virtual-patient-roleplay still maintained?
The repository was last updated 12 days ago, so virtual-patient-roleplay is actively maintained.

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 author: AIPOCH

Source: https://github.com/aipoch/medical-research-skills

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

| Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | scenario | string | No | chest_pain | Scenario: chest_pain, headache, abdominal_pain | | student_question | string | Yes (for interaction) | — | Learner question posed to the patient | | difficulty | string | No | intermediate | Scenario 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.

Related Skills

View on GitHub
GitHub Stars1.9k
CategoryCustomer
Updated12d ago
Forks175

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions