mentx@doctor
基于提出的医疗相关问题,通过 api上传医疗相关图片和文字(表征、内窥镜影像、X光、CT、MRI、超声、心电、各类检测报告等),获取专业医疗辅助决策报告支持。
Why use this skill?
Use the MentX Doctor skill to analyze medical reports, scan images, and clinical symptoms to receive professional AI-assisted medical decision support reports.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/dj801117/mentx-doctorWhat This Skill Does
The mentx@doctor skill is a sophisticated medical AI assistant designed to provide professional, clinically-informed decision support for healthcare queries. By integrating directly with the MentX API suite, this agent can process both complex text-based clinical descriptions and a wide range of medical media, including X-rays, CT/MRI scans, ultrasound imagery, endoscopy photos, and laboratory reports.
When a user submits a query, the skill intelligently triages the data. If attachments are provided, the agent automatically handles the file upload process to the secure MentX infrastructure before triggering a specialized analytical engine. The output is a structured, professional medical insight report generated within 15-30 seconds, maintaining a strict adherence to user-provided language settings. It acts as a bridge between patient symptoms and advanced clinical interpretation tools.
Installation
To integrate this skill into your environment, use the OpenClaw terminal to execute the following command:
clawhub install openclaw/skills/skills/dj801117/mentx-doctor
After installation, ensure you have configured your local environment variables to authenticate with the MentX platform. Set your credentials as follows:
export MENTX_API_KEY="YOUR_MENTX_API_KEY"
export MENTX_API_BASE="https://developer.mentx.com/v1"
If you have not obtained your API key, please visit https://developer.mentx.com/ to register.
Use Cases
- Pre-Diagnostic Screening: Users can upload skin condition photos along with symptom descriptions to get preliminary insights.
- Report Interpretation: Patients can upload PDF lab reports or radiology findings to receive an explanation of complex medical terminology in layman's terms.
- Symptom Analysis: Users can provide historical medical data and current symptoms to assist in identifying potential patterns for discussion with their primary care physician.
- Second Opinion Support: Assisting users in organizing their health data to better prepare for formal in-person doctor consultations.
Example Prompts
- "I've had persistent headaches for three days, accompanied by nausea and blurred vision. I'm a 35-year-old male. Can you help me understand what might be causing this?"
- [Uploads skin lesion photo] "I've had this red rash on my arm for two weeks; it's quite itchy. Please analyze this photo and tell me what common dermatological issues it might represent."
- "Here is my latest blood test report in PDF format. Could you summarize the findings and highlight any values that fall outside the normal reference range?"
Tips & Limitations
- Safety First: This skill is strictly for decision support. Every response must include the mandatory medical disclaimer provided by MentX. Always consult a licensed physician for actual diagnosis and treatment.
- Emergency Situations: This agent is NOT designed for emergencies. If you experience chest pain, severe difficulty breathing, or loss of consciousness, stop using the AI and call emergency services immediately.
- Data Privacy: Handle all medical records with extreme caution. Ensure you are aware of your local data privacy regulations when processing sensitive health information.
- Throughput Constraints: The skill supports a maximum of 10 images per request. Real-time video analysis is not supported at this time.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-dj801117-mentx-doctor": {
"enabled": true,
"auto_update": true
}
}
}Tags
Flags: external-api, data-collection, file-read
Related Skills
mcp-builder
Bootstraps new Model Context Protocol (MCP) servers from a natural language description. Use when the user asks to build an MCP server, create an MCP tool, scaffold an MCP integration, or add MCP capabilities to an existing project. NOT for: general API design, non-MCP tool building, or frontend tasks.
scrapebadger
Web scraping platform — Twitter/X data, Vinted marketplace, and general web scraping API
highlevel
Connect your AI assistant to GoHighLevel CRM via the official API v2. Manage contacts, conversations, calendars, pipelines, invoices, payments, workflows, and 30+ endpoint groups through natural language. Includes interactive setup wizard and 100+ pre-built, safe API commands. Python 3.6+ stdlib only — zero external dependencies.
clinicaltrials-gov-parser
Monitor and summarize competitor clinical trial status changes from ClinicalTrials.gov. Trigger: When user asks to track clinical trials, monitor trial status changes, get updates on specific trials, or analyze competitor trial activities. Use cases: Pharma competitive intelligence, trial monitoring, status tracking, recruitment updates, completion alerts.
agent3-hub
Universal AI resource registry — search and invoke agents, MCP servers, and APIs through a single MCP endpoint. Includes Telegram content search, Google search, X/Twitter search, and more.