A TypeScript client for provisioning, managing, and automating AI agents and workflows on the OpenServ Platform.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openserv-client
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install openserv-client using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The @openserv-labs/client package serves as the primary TypeScript interface for interacting with the OpenServ Platform API. It allows developers to programmatically register agents, create complex workflows, and establish triggers such as webhooks, cron jobs, or x402 paywalls. By utilizing this package within the ecosystem of Openclaw Skills, developers can automate the entire agent lifecycle, from initial provisioning to on-chain identity registration via ERC-8004.
This client acts as the bridge between your local agent code and the platform's orchestration layer. It handles the complexities of authentication, state persistence in .openserv.json, and the configuration of model parameters. Whether you are building a simple automation or a decentralized AI service, this skill provides the necessary tools to scale your agent's capabilities.
Install the package via npm:
npm install @openserv-labs/client
Basic provisioning example:
import { provision, triggers } from '@openserv-labs/client';
await provision({
agent: {
name: 'ResearchAgent',
description: 'Analyzes market trends'
},
workflow: {
name: 'Trend Analysis',
goal: 'Analyze the latest market trends and generate a report.',
trigger: triggers.webhook({ waitForCompletion: true })
}
});
The skill manages several key data entities and local state configurations:
| Entity | Description |
|---|---|
| .openserv.json | Local file storing the agentId, workflowId, and trigger tokens. |
| ProvisionResult | A JSON object containing API keys, auth tokens, and trigger URLs. |
| Model Parameters | Schema defining LLM choice, temperature, and reasoning constraints. |
| ERC-8004 Metadata | On-chain identity data including service endpoints and IPFS metadata hashes. |
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