provision-agent

Provision OpenClaw agents on Agentbot with pre-flight checks and health verification.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/dnzengou/agentbot-opensource --skill provision-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: provision-agent
Source: https://github.com/dnzengou/agentbot-opensource/tree/main/web/skills/provisioning-v1
Command: npx skills add https://github.com/dnzengou/agentbot-opensource --skill provision-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires infra/scripts/provision.sh, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of provisioning, spawning, or birthing new OpenClaw agents on the Agentbot platform, streamlining the deployment of AI workers.

Core Features & Use Cases

  • Agent Provisioning: Automates the creation of new OpenClaw agents.
  • API Integration: Utilizes Telegram API, AI Provider API, and Agentbot platform APIs.
  • Pre-flight Checks: Validates Telegram token and API key balance.
  • Instance Creation: Allocates a port and spins up a Docker container.
  • Verification: Pings the new instance for health check.
  • Handoff: Returns the userId, subdomain, and url to the requester.
  • Use Case: For systems that require rapid scaling of AI agents, such as chatbots or automated systems.

Quick Start

Use the provision-agent skill to provision a new agent with the following parameters: --token <TELEGRAM_TOKEN> --provider <AI_PROVIDER> --key <API_KEY> --plan <PLAN>

Frequently Asked Questions about provision-agent

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

FAQPage Schema
How do I automate OpenClaw agent provisioning on the Agentbot platform?

Automating OpenClaw agent provisioning requires passing a valid Telegram token, AI provider API key, and subscription plan details to a provisioning script. The process performs pre-flight checks, creates a Docker instance, and returns the userId, subdomain, and URL.

What pre-flight checks are needed to deploy an AI chatbot with Telegram API?

Pre-flight checks for AI chatbot deployment validate the Telegram bot token and verify the AI provider API key balance. These checks ensure the Agentbot platform has sufficient resources and valid credentials before allocating a port and spinning up a Docker container.

Can I scale AI workers rapidly using automated agent provisioning?

Automated agent provisioning supports rapid scaling of AI workers by streamlining the creation of new OpenClaw agents. It allocates a port, spins up a Docker container, and performs a health check ping before returning the subdomain and URL to the requester.

What parameters do I need to provision a new OpenClaw agent?

To provision a new OpenClaw agent, you need to provide four parameters: the Telegram token (--token), the AI provider name (--provider), the API key (--key), and the subscription plan details (--plan).

How does the Agentbot platform verify a newly provisioned AI agent instance?

The Agentbot platform verifies a newly provisioned AI agent instance by pinging it for a health check. After allocating a port and spinning up a Docker container, it confirms the instance is running before handing off the userId, subdomain, and URL.

Why are my Telegram API credentials failing during agent deployment?

Telegram API credentials fail during agent deployment if the pre-flight checks detect an invalid Telegram bot token or if the AI provider API key balance is insufficient. Valid tokens and adequate API key balances are required before instance creation begins.