openclaw-for-doctorDoctor-grade clinical assistant for evidence-based guideline lookup, complex case discussion, teaching materials, and research outputs tailored to clinician...
Install via ClawdBot CLI:
clawdbot install erinyu/openclaw-for-doctorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:8010/api/tasks/executeCalls external URL not in known-safe list
http://127.0.0.1:8010/api/tasks/executeAI Analysis
The skill definition contains a rule-based signal indicating it sends data to an undocumented local endpoint (127.0.0.1:8010). While this is a local loopback address, which limits external exfiltration risk, the call is not documented in the skill's description and its purpose is unknown, creating a potential security and integrity risk.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A clinician presents a case of a 65-year-old with fever, confusion, and hypotension. The AI uses diagnosis use case with discussion_partner stage and strict reasoning to generate a structured differential, including sepsis and stroke, with evidence-backed confidence levels and red flags for escalation.
A medical educator requests slides for a case conference on heart failure management. The AI selects teaching use case with mentor stage and innovative reasoning, producing a slide skeleton with teaching points, debrief questions, and hypothesis-level alternatives for discussion.
A primary care physician asks for the latest dosing guidelines for a new GLP-1 agonist in type 2 diabetes. The AI routes to treatment_rehab use case with encyclopedia stage and strict reasoning, providing concise evidence anchors from ADA Standards of Care with clinical takeaways.
A researcher seeks help drafting a study protocol for a novel sepsis biomarker. The AI uses research use case with trusted_assistant stage and innovative reasoning, outputting a literature matrix outline, testable hypotheses with endpoints, and feasibility constraints.
An oncologist presents a complex case of metastatic cancer with uncertain treatment options. The AI applies diagnosis use case with discussion_partner stage and strict reasoning, offering structured pros/cons for differentials, confidence levels, and action steps with 24-hour checkpoints.
Hospitals or clinics pay a monthly fee per user for unlimited access to the AI for evidence lookups, case discussions, and teaching material generation, reducing time spent on manual research and improving decision accuracy.
Medical schools or research institutions purchase credits for specific tasks like generating literature matrices or teaching slides, allowing flexible scaling for projects without long-term commitments.
Licensing the AI to electronic health record providers as an embedded tool, enabling clinicians to access clinical decision support directly within patient records for seamless workflow integration.
💬 Integration Tip
Integrate with existing clinical workflows by embedding in EHRs or communication platforms, ensuring minimal disruption and quick adoption through user training on keyword triggers.
Scored Apr 19, 2026
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