intelligent-triage-symptom-analysisIntelligent Triage and Symptom Analysis Skill. Supports 650+ symptoms across 11 body systems. Based on ESI and Manchester Triage System with 5-level triage c...
Install via ClawdBot CLI:
clawdbot install andyxcg/intelligent-triage-symptom-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Report → https://github.com/openclaw/skills/issuesCalls external URL not in known-safe list
https://discord.gg/openclawAI Analysis
The skill's primary external calls are to a GitHub issues page and a Discord server, which appear to be for user support and bug reporting rather than data exfiltration. While the endpoints are undocumented, they do not seem designed to receive or process sensitive user symptom data, and the core functionality likely uses a separate, billed API. The risk is low but warrants documentation.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Integrate the skill into telemedicine apps to provide automated preliminary symptom assessment for patients before consultations. It helps prioritize urgent cases, reducing wait times and ensuring critical patients receive immediate attention, while offering triage recommendations to guide next steps.
Deploy in hospital emergency departments to assist triage nurses by analyzing patient-reported symptoms and vital signs. It standardizes urgency classification using ESI and Manchester systems, improving accuracy and efficiency in handling high patient volumes, especially during peak hours.
Use within corporate wellness programs to offer employees quick symptom analysis and triage advice for non-emergency health concerns. It reduces unnecessary clinic visits, promotes early intervention, and supports remote workforces with accessible healthcare guidance.
Incorporate into insurance platforms to assess claimant symptoms for preliminary risk stratification and fraud detection. The red flag mechanism helps identify life-threatening conditions early, aiding in claims processing and ensuring timely medical referrals.
Implement in pharmacies to assist pharmacists in evaluating customer symptoms for over-the-counter recommendations or urgent referrals. It enhances service quality by providing evidence-based triage, especially for common ailments like fevers or minor injuries.
Charge users per API call using SkillPay tokens, with each analysis costing approximately 0.001 USDT. This model includes a free trial of 10 calls to attract users, followed by token-based payments, ensuring scalability and low entry barriers for small to large clients.
Offer monthly or annual subscriptions to hospitals, clinics, and telemedicine companies for unlimited or tiered access to the skill. This provides predictable recurring revenue while supporting high-volume usage and integration with existing medical systems.
License the skill technology to other software developers or healthcare platforms for embedding into their products under a white-label agreement. This generates upfront licensing fees and potential revenue sharing, expanding market reach without direct customer management.
💬 Integration Tip
Start with demo mode to test output formats, then implement SkillPay API keys after the free trial, ensuring environment variables are correctly set for billing and data retention.
Scored Apr 19, 2026
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