Define the HITL Protocol for human decisions in AI agent workflows.
npx skills add https://github.com/rotorstar/hitl-protocol --skill hitl-protocol
Please help me install this Agent Skill. Skill: hitl-protocol Source: https://github.com/rotorstar/hitl-protocol/tree/main Command: npx skills add https://github.com/rotorstar/hitl-protocol --skill hitl-protocol
This Skill enables seamless integration of human oversight into AI agent workflows, preventing errors in critical decisions and ensuring user control.
Use the hitl-protocol skill to teach agents how to handle human-in-the-loop review requests.
High-intent search queries and answers about installing and using this skill.
Human-in-the-loop decisions in AI agent workflows are integrated by implementing a protocol where services request human input via HTTP 202 responses, allowing agents to manage complex interactions and prevent autonomous errors.
An HTTP 202 response in human-in-the-loop protocols is used to signal that a service has accepted an AI agent's request but requires human input to proceed, forwarding a review URL for user confirmation.
AI agents handle complex rules requiring human confirmation by forwarding a human-in-the-loop review URL to the user, who selects the correct option via a web page or native messaging buttons, enabling the agent to proceed.
Yes, you can make existing websites and APIs accessible to AI agents by implementing human-in-the-loop endpoints, transforming them into agent-ready services that support rich UIs and channel-native inline actions.
Yes, the human-in-the-loop protocol supports multiple review types and transport mechanisms, ensuring seamless human-AI collaboration through channel-native inline actions and rich user interfaces.
You should use a human-in-the-loop protocol instead of fully autonomous AI agents when handling critical decisions or complex fare rules that require user control, ensuring human oversight to prevent errors in AI workflows.
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