Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Classify medical messages (emails, iMessages) as critical, urgent, or routine based on medical urgency indicators.
Classify medical messages (emails, iMessages) as critical, urgent, or routine based on medical urgency indicators.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Classify medical messages into priority categories based on urgency indicators, symptoms, and patient context.
IconCategoryDescription🔴criticalLife-threatening symptoms, emergency keywords, severe pain🟡urgentNeeds same-day attention, worsening symptoms, medication issues🟢routineFollow-ups, general questions, appointment requests
This skill analyzes message content for: Emergency keywords: chest pain, difficulty breathing, severe bleeding, etc. Symptom severity: pain scale, duration, progression Patient context: chronic conditions, medications, recent procedures Temporal urgency: "right now", "getting worse", "can't wait"
The skill expects a JSON array of messages: [ { "id": "msg-123", "subject": "Chest pain", "from": "patient@example.com", "date": "2026-02-27T10:30:00Z", "body": "I've been having chest pain for the last hour..." } ]
Returns a JSON array with triage results: [ { "id": "msg-123", "category": "critical", "reason": "Chest pain mentioned - potential cardiac emergency", "confidence": 0.95 } ]
This skill is designed to be invoked programmatically via OpenClaw's skill execution API.
Chest pain, pressure, or tightness Difficulty breathing or shortness of breath Severe bleeding Loss of consciousness Stroke symptoms (FAST: Face, Arms, Speech, Time) Severe allergic reaction Suicidal ideation
High fever (>103°F / 39.4°C) Persistent vomiting or diarrhea Medication side effects Worsening chronic condition Moderate pain (7-8/10) Infection signs (redness, swelling, pus) Mental health crisis
Appointment requests Prescription refills General health questions Follow-up on stable conditions Lab result questions Mild symptoms (<3 days)
This skill can be invoked via the OpenClaw CLI: openclaw skill run medical-triage --input '[{"id":"msg-1","subject":"...","body":"..."}]' --json Or programmatically: const result = await execFileAsync('openclaw', [ 'skill', 'run', 'medical-triage', '--input', JSON.stringify(messages), '--json' ]); Recommended Model: Claude Sonnet 4.5 (openclaw models set anthropic/claude-sonnet-4-5)
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.