stock-data-skill
OpenClaw Skill for stock data analysis
Extract medical entities (symptoms, medications, lab values, diagnoses) from patient messages.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install binubmuse/medical-entity-extractorExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Extract structured medical information from unstructured patient messages.
[
{
"id": "msg-123",
"priority_score": 78,
"priority_bucket": "P1",
"subject": "Medication side effects",
"from": "patient@example.com",
"date": "2026-02-27T10:30:00Z",
"body": "I've been feeling dizzy since starting the new blood pressure medication (Lisinopril 10mg) three days ago. My BP this morning was 145/92."
}
]
[
{
"id": "msg-123",
"entities": {
"symptoms": [
{
"name": "dizziness",
"severity": "moderate",
"duration": "3 days",
"onset": "since starting new medication"
}
],
"medications": [
{
"name": "Lisinopril",
"dosage": "10mg",
"frequency": null,
"context": "new medication"
}
],
"lab_values": [
{
"type": "blood_pressure",
"value": "145/92",
"unit": "mmHg",
"timestamp": "this morning"
}
],
"diagnoses": [
{
"name": "hypertension",
"context": "implied by blood pressure medication"
}
],
"action_items": [
{
"type": "medication_review",
"reason": "possible side effect (dizziness)"
}
]
},
"summary": "Patient reports dizziness after starting Lisino...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Medical Entity Extractor
Extract structured medical information from unstructured patient messages.
## What This Skill Does
1. **Symptom Extraction**: Identifies symptoms, severity, duration, and progression
2. **Medication Extraction**: Finds medication names, dosages, frequencies, and side effects
3. **Lab Value Extraction**: Parses lab results, vital signs, and measurements
4. **Diagnosis Extraction**: Identifies mentioned diagnoses and conditions
5. **Temporal Extraction**: Captures when symptoms started, how long they've lasted
6. **Action Items**: Identifies requested actions (appointments, refills, questions)
## Input Format
```json
[
{
"id": "msg-123",
"priority_score": 78,
"priority_bucket": "P1",
"subject": "Medication side effects",
"from": "patient@example.com",
"date": "2026-02-27T10:30:00Z",
"body": "I've been feeling dizzy since starting the new blood pressure medication (Lisinopril 10mg) three days ago. My BP this morning was 145/92."
}
]
```
## Output Format
```json
[
{
"id": "msg-123",
"entities": {
"symptoms": [
{
"name": "dizziness",
"severity": "moderate",
"duration": "3 days",
"onset": "since starting new medication"
}
],
"medications": [
{
"name": "Lisinopril",
"dosage": "10mg",
"frequency": null,
"context": "new medication"
}
],
"lab_values": [
{
"type": "blood_pressure",
"value": "145/92",
"unit": "mmHg",
"timestamp": "this morning"
}
],
"diagnoses": [
{
"name": "hypertension",
"context": "implied by blood pressure medication"
}
],
"action_items": [
{
"type": "medication_review",
"reason": "possible side effect (dizziness)"
}
]
},
"summary": "Patient reports dizziness after starting Lisino...OpenClaw Skill for stock data analysis
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