An intelligent AI agent skill that parses medical examination reports from images or PDFs to provide plain-language explanations of health indicators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install body-report-interpreter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install body-report-interpreter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Body Report Interpreter?
The Body Report Interpreter is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between complex medical data and patient understanding. It automatically extracts data from physical examination reports—including blood routines, liver and kidney functions, lipid profiles, and tumor markers—to provide a structured breakdown of a user's health status.
By leveraging advanced OCR and medical knowledge mapping, this skill identifies abnormal values and explains the significance of each metric without the use of dense medical jargon. It prioritizes the reference ranges provided on the specific hospital report while cross-referencing internal data schemas to ensure context-aware analysis.
Body Report Interpreter Use Cases
- Interpreting annual physical examination reports to identify key health trends.
- Explaining specific lab results such as blood work, urine tests, or metabolic panels.
- Analyzing abnormal health indicators to provide potential lifestyle or dietary causes.
- Comparing current test results against historical data for long-term health tracking.
How Body Report Interpreter Works
- The user uploads a report image or PDF, or pastes the report text into the agent interface.
- The skill utilizes a read tool to extract the report date, hospital name, and all numerical indicators.
- Each metric is mapped against its Chinese/English name, the user's detected value, and the specified reference range.
- The agent flags abnormalities using status icons (High, Normal, or Low) based on the extracted data.
- A comprehensive analysis is generated, detailing the meaning of specific indicators and suggesting potential reasons for deviations.
- The workflow concludes with a high-level health assessment and recommendations for medical follow-ups or lifestyle adjustments.
Body Report Interpreter Setup
To deploy this tool using Openclaw Skills, you can install it via the CLI or include it in your agent configuration. Ensure the read tool is enabled for image processing.
openclaw install body-report-interpreter
Configure local reference ranges if you wish to override default medical thresholds:
# Edit the local ranges configuration
nano skills/body-report-interpreter/references/ranges.md
Body Report Interpreter Data Schema & Taxonomy
The skill organizes extracted medical data into a structured format for clear presentation and potential integration with other health tracking tools.
| Attribute | Description | Data Type |
|---|---|---|
| indicators | List of medical metrics and their values | Array |
| reference_range | The normal interval defined by the lab | String |
| status_flag | Visual indicator (UP/DOWN/OK) | Enum |
| severity_level | Categorization of abnormality (Red/Yellow/Green) | Icon |
| recommendations | Suggested diet, lifestyle, or medical departments | Markdown |
Body Report Interpreter Advanced Features
- Multi-modal input support allowing seamless switching between OCR for images and direct text parsing.
- Contextual medical routing that suggests specific hospital departments based on the type of abnormality detected.
- Integration with local reference files (ranges.md) to maintain accuracy across different lab standards.
- Strict compliance protocols that prioritize informational interpretation over clinical diagnosis for user safety.
SKILL.md
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