agentping

Name: agentping
Availability: InStock
Author: lev-os

Send structured human approval and feedback requests via JSON interfaces.

Updated Feb 13, 2026

Search Tags:#agent communication #prompt engineering #ai interaction #user feedback #approval workflow #human in the loop

Ready to run

npx skills add https://github.com/lev-os/lev-content --skill agentping

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured protocol for AI agents to interact with humans, ensuring clear communication for approvals, selections, research direction, and feedback.

Core Features & Use Cases

Structured Communication: Replaces unstructured text with typed "pings" for consistent rendering across platforms (CLI, web, Slack).
Diverse Interaction Types: Supports approvals (yes/no), multiple-choice selections, open-ended questions, step-by-step approvals, and notifications.
Use Case: An agent needs to deploy code to production. It uses agentping approve to get explicit human confirmation before proceeding, ensuring safety and control.

Quick Start

Use agentping to ask for approval before deploying to production.

Frequently Asked Questions about agentping

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

FAQPage Schema

How do I implement a human in the loop approval workflow for AI agents?▼

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.

What is the best way to structure agent communication for user feedback across multiple 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.

Can I use a human-AI interaction protocol to require explicit confirmation before deploying code?▼

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.

Does agentping support multiple-choice selections and open-ended questions for AI interaction?▼

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.

When do I need a structured human-AI interaction protocol for my AI agent?▼

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.