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BytesAgain β€Ί Skills β€Ί Health Auto Log
πŸ¦€ ClawHub

Health Auto Log

by @klcintw

Automatically detect and log health data (weight, blood sugar, exercise) to AX3 system. Use when user sends health measurements via WhatsApp or other messagi...

Versionv1.0.0
Downloads605
Installs1
#legal#health#automation
TERMINAL
clawhub install health-auto-log

πŸ“– About This Skill

name: health-auto-log description: Automatically detect and log health data (weight, blood sugar, exercise) to AX3 system. Use when user sends health measurements via WhatsApp or other messaging channels, especially messages containing numbers with health-related keywords like "體重", "θ‘€η³–", or plain numeric values that could be weight measurements.

Health Auto Log

Overview

Automatically detect health metrics from user messages and record them to AX3 Personal system. Supports weight, blood sugar, and exercise time tracking with flexible input formats.

When to Use This Skill

Trigger this skill when user messages contain:

  • Weight measurements (e.g., "體重69.8ε…¬ζ–€", "69.8kg", "69.8")
  • Blood sugar readings (e.g., "θ‘€η³–120", "120 mg/dL")
  • Exercise time (e.g., "θ·‘ζ­₯機30εˆ†", "θ·‘ζ­₯30")

    • Quick Start

    Use the record_health_data.py script to process any message:

    python3 scripts/record_health_data.py "體重69.8ε…¬ζ–€"

    The script will: 1. Extract health metrics from the message 2. Validate the values are within reasonable ranges 3. Record to AX3 using mcporter 4. Return confirmation with record IDs

    Supported Metrics

    1. Weight (體重)

    Habit ID: 1 Unit: kg Range: 40-200 kg

    Supported formats:

  • 體重69.8ε…¬ζ–€
  • 69.8kg
  • 69.8 (plain number)

    • 2. Blood Sugar (θ‘€η³–)

    Habit ID: 4 Unit: mg/dL Range: 50-500 mg/dL

    Supported formats:

  • θ‘€η³–120
  • 120 mg/dL

    • 3. Running Time (θ·‘ζ­₯機)

    Habit ID: 2 Unit: minutes

    Supported formats:

  • θ·‘ζ­₯機30εˆ†
  • θ·‘ζ­₯30

    • Workflow

    Automatic Detection Flow

    1. Receive message from WhatsApp or other channel 2. Run script with message text: python3 scripts/record_health_data.py "" 3. Extract metrics using regex patterns 4. Validate values are in reasonable ranges 5. Record to AX3 via mcporter call to ax3-personal.record_habit 6. Confirm with user showing what was recorded

    Example Usage

    # Single metric
python3 scripts/record_health_data.py "體重69.8ε…¬ζ–€"

    Output: βœ… 體重 69.8 kg ε·²θ¨˜ιŒ„
    Multiple metrics in one message
    
python3 scripts/record_health_data.py "體重69.8ε…¬ζ–€ θ‘€η³–120"

    Output: 
    

    βœ… 體重 69.8 kg ε·²θ¨˜ιŒ„
    

    βœ… θ‘€η³– 120 mg/dL ε·²θ¨˜ιŒ„

    Integration Pattern

    When a user sends a health-related message:

    1. Call the script with the message text 2. Parse the JSON output to check if data was detected 3. If detected, respond with confirmation (e.g., "ζ”Άεˆ°οΌ69.8 kg ε·²θ¨˜ιŒ„ πŸ“") 4. If not detected, reply normally without mentioning the skill

    Error Handling

    The script includes validation:

  • Out of range values are ignored (e.g., weight of 500kg won't be recorded)
  • Invalid formats are silently skipped
  • mcporter failures are captured and returned in the JSON output

    • Resources

    scripts/record_health_data.py

    Python script that handles:

  • Pattern matching for various health data formats
  • Value validation and range checking
  • AX3 API calls via mcporter
  • JSON output for programmatic integration

    • The script can be called directly or integrated into message handling workflows.

    πŸ’‘ Examples

    Use the record_health_data.py script to process any message:

    python3 scripts/record_health_data.py "體重69.8ε…¬ζ–€"

    The script will: 1. Extract health metrics from the message 2. Validate the values are within reasonable ranges 3. Record to AX3 using mcporter 4. Return confirmation with record IDs