# Send Medical Entity Extractor to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "medical-entity-extractor", "name": "Medical Entity Extractor", "source": "tencent", "type": "skill", "category": "通讯协作", "sourceUrl": "https://clawhub.ai/binubmuse/medical-entity-extractor", "canonicalUrl": "https://clawhub.ai/binubmuse/medical-entity-extractor", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/medical-entity-extractor", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=medical-entity-extractor", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/medical-entity-extractor" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/medical-entity-extractor", "downloadUrl": "https://openagent3.xyz/downloads/medical-entity-extractor", "agentUrl": "https://openagent3.xyz/skills/medical-entity-extractor/agent", "manifestUrl": "https://openagent3.xyz/skills/medical-entity-extractor/agent.json", "briefUrl": "https://openagent3.xyz/skills/medical-entity-extractor/agent.md" } } ``` ## Documentation ### Medical Entity Extractor Extract structured medical information from unstructured patient messages. ### What This Skill Does Symptom Extraction: Identifies symptoms, severity, duration, and progression Medication Extraction: Finds medication names, dosages, frequencies, and side effects Lab Value Extraction: Parses lab results, vital signs, and measurements Diagnosis Extraction: Identifies mentioned diagnoses and conditions Temporal Extraction: Captures when symptoms started, how long they've lasted Action Items: Identifies requested actions (appointments, refills, questions) ### Input Format [ { "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 [ { "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 Lisinopril 10mg 3 days ago. BP elevated at 145/92. Possible medication side effect requiring review." } ] ### Symptoms Name, severity (mild/moderate/severe), duration, onset, progression (improving/stable/worsening) ### Medications Name, dosage, frequency, route, context (new/existing/stopped) ### Lab Values Type (BP, glucose, cholesterol, etc.), value, unit, timestamp, normal range ### Diagnoses Name, context (confirmed/suspected/ruled out) ### Vital Signs Temperature, heart rate, respiratory rate, oxygen saturation, blood pressure ### Action Items Type (appointment, refill, question, callback), urgency, reason ### Medical Terminology Handling The skill recognizes: Common abbreviations (BP, HR, RR, O2 sat, etc.) Brand and generic medication names Lay terms for medical conditions ("sugar" → diabetes, "heart attack" → MI) Temporal expressions ("since yesterday", "for the past week") ### Integration This skill can be invoked via the OpenClaw CLI: openclaw skill run medical-entity-extractor --input '[{"id":"msg-1","priority_score":78,...}]' --json Or programmatically: const result = await execFileAsync('openclaw', [ 'skill', 'run', 'medical-entity-extractor', '--input', JSON.stringify(scoredMessages), '--json' ]); Recommended Model: Claude Sonnet 4.5 (openclaw models set anthropic/claude-sonnet-4-5) ### Privacy & Security All processing happens locally via OpenClaw No data is sent to external services (except Claude API for LLM processing) Extracted entities remain in your local environment ## Trust - Source: tencent - Verification: Indexed source record - Publisher: binubmuse - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/medical-entity-extractor) - [Send to Agent page](https://openagent3.xyz/skills/medical-entity-extractor/agent) - [JSON manifest](https://openagent3.xyz/skills/medical-entity-extractor/agent.json) - [Markdown brief](https://openagent3.xyz/skills/medical-entity-extractor/agent.md) - [Download page](https://openagent3.xyz/downloads/medical-entity-extractor)