Send structured human approval and feedback requests via JSON interfaces.
npx skills add https://github.com/lev-os/lev-content --skill agentping
Please help me install this Agent Skill. Skill: agentping Source: https://github.com/lev-os/lev-content/tree/main/sources/skills/agentping Command: npx skills add https://github.com/lev-os/lev-content --skill agentping
This Skill provides a structured protocol for AI agents to interact with humans, ensuring clear communication for approvals, selections, research direction, and feedback.
agentping approve to get explicit human confirmation before proceeding, ensuring safety and control.Use agentping to ask for approval before deploying to production.
High-intent search queries and answers about installing and using this skill.
You can request human input for AI agents by sending structured pings like approval requests, multiple-choice selections, or open-ended questions. This replaces unstructured text with typed directives for consistent rendering across platforms.
Structured agent communication replaces unstructured text with typed pings for consistent rendering across platforms. Using an agent-first JSON interface with directive types ensures clear user feedback across CLI, web, and Slack.
Yes, a human-AI interaction protocol can require explicit confirmation before deploying code. An AI agent sends an approval request ping to a human, ensuring safety and control by blocking deployment until explicit confirmation is received.
Yes, agentping supports diverse interaction types including multiple-choice selections and open-ended questions. It manages approval requests, step-by-step confirmations, and notifications to facilitate structured human-AI interaction.
You need a structured human-AI interaction protocol when an AI agent requires human input for critical actions like research direction or production deployments. It ensures safety and control by replacing unstructured text with typed pings for explicit user feedback.
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