Install
openclaw skills install mrc-monitorReal-time token monitoring for MRC canteen order system. Monitors Firebase Firestore for token status and notifies when orders are ready. Use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. Handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready.
openclaw skills install mrc-monitorMonitor MRC canteen order tokens and notify when they're ready for pickup.
When user sends any command containing canteen tokens:
Users may send tokens with various prefixes:
Extract all numbers from the user message and start the background monitor:
python3 skills/mrc-monitor/scripts/monitor.py <platform> <channel_id> <token1> <token2> ...
Where:
platform: "telegram" or "discord"channel_id: Current channel identifier (platform prefix is optional, e.g., telegram_123 or 123 both work)token1, token2, ...: Token numbers to monitorExample:
python3 skills/mrc-monitor/scripts/monitor.py telegram telegram_6046286675 73 97 42
# or
python3 skills/mrc-monitor/scripts/monitor.py telegram 6046286675 73 97 42
Start the monitor as a background process so the agent responds immediately:
import subprocess
# channel_id can be with or without platform prefix (both work)
cmd = ['python3', 'skills/mrc-monitor/scripts/monitor.py',
platform, channel_id] + [str(t) for t in tokens]
subprocess.Popen(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)
After starting the monitor, respond immediately with:
✅ Monitoring tokens: 73, 97, 42
Checking every 15 seconds.
I'll notify you here when they're ready! 🍕
For "check 73" commands, perform a single Firebase query and respond with status without starting a background monitor.
The monitor script:
skills/mrc-monitor/logs/monitor_YYYYMMDD_HHMMSS.logThe script automatically handles:
On fatal errors, the script sends a notification before exiting.
studentId (string): "student-{token_number}"status (string): "Preparing", "Ready", "Completed"