Hormuz Strait Transit Monitor

Track shipping transit data through the Strait of Hormuz - a critical chokepoint for global oil supply.

Quick Start

# Run the monitor
python ~/.openclaw/workspace/skills/hormuz-strait-monitor/scripts/hormuz_monitor.py

# With notification channel
python ~/.openclaw/workspace/skills/hormuz-strait-monitor/scripts/hormuz_monitor.py --channel wecom

# Debug mode (keep browser visible)
python ~/.openclaw/workspace/skills/hormuz-strait-monitor/scripts/hormuz_monitor.py --debug

Data Collected

Data Sources

Both sites require JavaScript rendering - static HTTP fetch will not work.

Alert Conditions

Alert triggers when any condition is met:

Output

Data is appended to CSV: ~/.openclaw/workspace/memory/hormuz-transit-data.csv

Columns:

• timestamp - Collection time
• transits_24h - Vessels transited in last 24h
• daily_throughput - Current daily oil flow
• day_normal - Normal daily transit count
• avg_throughput - Average daily throughput
• non_iranian_vessels - Non-Iranian vessels exiting in 12h
• alerts - Alert messages (if any)

Configuration

See references/config.json for threshold customization.

To enable notifications:

1. Edit references/config.json
2. Set "channel": "wecom" or other supported channel
3. Or use --channel flag at runtime

Environment Requirements

Required:

• Google Chrome (installed at /usr/bin/google-chrome)
• Python 3.x
• selenium + webdriver-manager

Install dependencies:

pip install selenium webdriver-manager

Chrome version: This skill uses Chrome 147+ (headless mode).

Workflow

1. Fetch hormuzstraitmonitor.com

   • Launch headless Chrome
   • Wait for JavaScript rendering (~10s)
   • Parse Transits (24h), Daily Throughput, Day Normal, Avg
   • Use regex patterns for data extraction

2. Fetch shipxy.com

   • Navigate to Chinese shipping portal
   • Wait for rendering (~15s)
   • Parse Non-Iranian vessel count (Chinese text patterns)

3. Record Data

   • Append to CSV file
   • Include timestamp and all collected values

4. Check Alerts

   • Compare current vs previous data
   • Evaluate threshold conditions
   • Generate alert messages

5. Notify (if configured)

   • If alerts triggered OR channel configured
   • Send summary via specified channel

Troubleshooting

Chrome not found:

ERROR: Chrome binary not found at /usr/bin/google-chrome

Solution: Install Google Chrome or update binary path in script.

Selenium not installed:

ERROR: selenium and webdriver-manager not installed

Solution: pip install selenium webdriver-manager

Data not parsed:

• Check debug screenshots: ~/.openclaw/workspace/memory/hormuzstraitmonitor_debug.png
• Run with --debug to see browser content
• Website structure may have changed - update regex patterns

Timeout errors:

• Increase wait time in script (JavaScript-heavy pages)
• Check network connectivity to both sites

Cron Integration

To monitor regularly, add to heartbeat or cron:

Heartbeat (HEARTBEAT.md):

- Check Hormuz Strait transit data (every 4h)

Cron job:

# Every 4 hours
openclaw cron add --schedule "0 */4 * * *" --name hormuz-monitor \
  --payload '{"kind": "agentTurn", "message": "Run Hormuz Strait monitor skill"}'

Notes

• The Strait of Hormuz handles ~20% of global oil consumption
• During Iran-West tensions, transits may drop significantly
• Recovery signals indicate de-escalation or alternative routing
• Non-Iranian vessel count is key indicator of Western/Asian shipping confidence