medical-record-structurerMedical record structuring and standardization tool. Converts doctor's oral or handwritten medical records into standardized electronic medical records (EMR)...
Install via ClawdBot CLI:
clawdbot install andyxcg/medical-record-structurerGrade 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 payment gateway (skillpay.me) and a Discord community link, which are plausibly related to monetization and support as described. While the 'UNKNOWN_DATA_SINK' signal referencing a GitHub issues page is unusual and warrants caution, there is no direct evidence in the provided definition that user medical data is sent to unauthorized servers or that hidden instructions, credential harvesting, or obfuscation are present.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Doctors can dictate patient encounters during consultations, and the skill converts speech into structured EMR entries, saving time on manual note-taking. It ensures consistency in medical records and reduces transcription errors, improving workflow efficiency in busy clinics.
Hospitals can use this skill to process legacy handwritten medical notes, converting them into standardized electronic formats for easier storage and analysis. It supports batch processing to handle large volumes, aiding in compliance with digital health regulations and data migration projects.
Telehealth platforms integrate the skill to allow patients to provide medical histories via voice or text, which is then structured into EMR fields for remote doctors. This streamlines initial assessments, reduces administrative burden, and enhances patient engagement in virtual care settings.
Research institutions use the skill to convert unstructured clinical notes from studies into standardized data formats, facilitating analysis and aggregation. It supports multi-language output, making it suitable for international collaborations and improving data quality in medical research.
Insurance companies employ the skill to structure medical records from claims submissions, automating the extraction of key fields like diagnosis and treatment plans. This speeds up claim validation, reduces manual review costs, and helps detect inconsistencies or fraud in healthcare billing.
Monetize each API call via SkillPay integration at 0.001 USDT per request, targeting users with sporadic or low-volume needs. This model includes a free trial of 10 calls to attract new users and demo mode for testing without commitment.
Offer tiered subscription plans with discounted rates for enterprises or clinics processing large batches of records regularly. This can include additional features like priority support or custom field mappings to increase retention and predictable revenue.
License the skill to healthcare software providers or hospitals for integration into their own EMR systems, charging upfront or ongoing fees based on usage scale. This expands market reach through partnerships and leverages existing customer bases in the medical industry.
💬 Integration Tip
Start with demo mode to test functionality without API keys, then implement SkillPay variables after the free trial for seamless billing integration.
Scored Apr 19, 2026
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