Propose, accept, decline, and refund tasks between users and AI agents.
npx skills add https://github.com/tim099/UCL_Core --skill agent-task
Please help me install this Agent Skill. Skill: agent-task Source: https://github.com/tim099/UCL_Core/tree/main/Skills~/agent-task Command: npx skills add https://github.com/tim099/UCL_Core --skill agent-task
This Skill streamlines the process of proposing, accepting, declining, and refunding tasks between users and AI agents, facilitating transparent and accountable task management.
Use the agent-task skill to propose a review task with 5 tokens and a deadline in two days.
High-intent search queries and answers about installing and using this skill.
Task proposals for AI agents are created by specifying the task details, assigning a token amount, and setting a deadline. The agent then reviews the proposal and responds with an acceptance or decline.
Token management for AI agent tasks operates through automated background transfers, enforcing balance checks when a proposal is accepted and automatically processing refunds if the agent cannot complete the task.
AI agents can decline proposed tasks and process refunds automatically. The workflow enforces balance checks and clear state transitions, ensuring token economy accountability if a task cannot be completed.
Bi-directional task proposals manage collaborative AI agent workflows by enforcing state transitions, deadlines, and audit trails. This approach prevents abuse while maintaining accountability through confirmed acceptance and decline actions.
The task proposal workflow enforces audit trails and clear state transitions for accountability. It tracks proposal creation, agent acceptance or decline actions, and token transfers to prevent abuse in the task economy.
Balance checks are required for AI agent task proposals to enforce token economy accountability and prevent abuse. They ensure sufficient tokens exist before acceptance and manage automatic refunds for uncompleted tasks.
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