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.
Install via ClawdBot CLI:
clawdbot install wysh3/mrc-monitorGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Hardcoded API key or token pattern found in skill definition
AIzaSyCUhOLu...Calls external URL not in known-safe list
https://firestore.googleapis.com/v1/projects/{FIREBASE_PROJECT}/databases/(defauUses known external API (expected, informational)
googleapis.comAI Analysis
The skill interacts with a specific Firebase project for its stated purpose of monitoring canteen orders, which is consistent and expected. The hardcoded API key is a low-risk credential exposure as it is a public Firebase key, not a secret token, and is used to access a public database. No hidden instructions, credential harvesting, or data exfiltration to unauthorized servers are present.
Generated Mar 20, 2026
Students at a university campus can monitor their food order tokens in real-time via messaging platforms like Telegram or Discord. The system automatically notifies them when their orders are ready for pickup, reducing wait times and improving canteen efficiency. This is ideal for busy campuses where students need to manage their time between classes and meals.
Employees in large office complexes can use this skill to track their meal orders from the corporate cafeteria. It helps streamline lunch breaks by providing notifications when food is prepared, minimizing crowding and wait times. This enhances workplace productivity and employee satisfaction by integrating seamlessly with existing communication tools.
At conferences or large events, attendees can monitor their food order tokens to receive alerts when their meals are ready for collection. This reduces queues at catering stations and improves the overall event experience by allowing attendees to focus on sessions. The skill handles multiple tokens simultaneously, making it scalable for high-volume settings.
Hospitals can implement this skill to monitor meal orders for patients, notifying staff or patients when food is ready for delivery. It ensures timely meal service, supports dietary management, and reduces manual tracking efforts. The background monitoring and error handling make it reliable for critical healthcare environments.
Food truck operators can use this skill to let customers monitor their order tokens via messaging apps, sending alerts when their food is prepared. This enhances customer experience by reducing physical wait times and allowing for better crowd management at popular locations. The one-time check feature provides quick status updates for walk-in customers.
Offer this monitoring skill as a subscription service to universities, corporations, and hospitals, charging a monthly fee per user or token. Revenue comes from ongoing usage, with tiered plans based on the number of tokens monitored or notification volume. This model ensures recurring income and scalability across different organizational sizes.
License the underlying Firebase integration and monitoring logic as an API for developers or businesses to embed in their own applications. Charge based on API calls or token monitoring sessions, with volume discounts for high usage. This model targets tech-savvy clients who want to customize the solution for specific needs.
Sell a white-labeled version of this skill to canteen operators, catering companies, or food truck networks, allowing them to brand it as their own service. Revenue is generated through one-time setup fees and optional maintenance contracts. This model helps providers enhance their customer experience without developing in-house technology.
💬 Integration Tip
Ensure Firebase Firestore is properly configured with the correct project and collection details, and test the background script in a staging environment to handle network errors gracefully before deployment.
Scored Jun 19, 2026
Audited Apr 17, 2026 · audit v1.0
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