health-guardian

Calculate late-night work fees, confirm user acknowledgment, and debit accounts.

4|Updated Apr 3, 2020
One-click install
npx skills add https://github.com/tim099/UCL_Core --skill health-guardian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: health-guardian
Source: https://github.com/tim099/UCL_Core/tree/main/Skills~/health-guardian
Command: npx skills add https://github.com/tim099/UCL_Core --skill health-guardian

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users monitor and regulate late-night work by implementing a dynamic service fee system based on time-of-day and user acknowledgment, encouraging healthy habits and preventing overwork.

Core Features & Use Cases

  • Time-based Fee Calculation: Automatically computes incremental health-related service fees depending on task scheduling during late hours.
  • Autonomous Agent SOPs: Guides AI agents to verify user acknowledgment, debit accounts, and log activities for maintaining healthy work patterns.
  • Use Case: An AI assistant tasks users with late-night scheduling; the Skill enforces a fee policy to promote wellness and records compliance for audit.

Quick Start

The Skill integrates into your AI agent workflow by calculating fees based on current time, prompting for user confirmation, debiting the account upon approval, and logging all transactions to support health management.

Frequently Asked Questions about health-guardian

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate late-night work health cost tracking with an AI agent?

Automate late-night work health cost tracking by integrating a time-sensitive fee system into your AI agent workflow. The skill calculates health-related fees based on the time of day, prompts for user acknowledgment, debits the account, and logs the transaction to maintain healthy work patterns.

What is a time-sensitive fee system for health-cost enforcement?

A time-sensitive fee system for health-cost enforcement applies dynamic service fees to tasks scheduled during late-night hours. It uses date-time handling and ledger management to automatically calculate incremental charges, ensuring users acknowledge and incur costs for irregular work.

How do I log late-night work activities for audit trails?

Log late-night work activities for audit trails by configuring the agent to record all user acknowledgments, account debits, and compliance data. The skill maintains an automated ledger of these transactions to support health management policies and operational control.

Does the automated health fee calculation require user acknowledgment before debiting?

Yes, the automated health fee calculation requires user acknowledgment before debiting. The AI agent verifies user confirmation during the late-night scheduling process, debiting the account only upon approval to enforce the health-cost policy.

What do I need to set up time-based account debiting for irregular working hours?

To set up time-based account debiting for irregular working hours, you need an AI agent workflow with date-time handling and ledger management functions. The skill uses these capabilities to accurately calculate fees, process account debits, and log activities.

When should I use an automated fee policy to prevent overwork?

Use an automated fee policy to prevent overwork when you need to regulate late-night work activities and promote wellness. It applies to scenarios requiring automated enforcement of health-cost policies during irregular working hours, deterring unhealthy scheduling habits.