A technical capability designed to configure, switch, and troubleshoot model providers, routing sessions, and cron executions in OpenClaw.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hobohan-model-config
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 hobohan-model-config using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The model-config skill is an essential capability for managing AI model providers, resolving routing conflicts, and handling session model locks within your agent ecosystem. In the realm of Openclaw Skills, ensuring that your agents consistently route to the correct Large Language Model (LLM) is paramount for robust operation, preventing common integration failures like cold-starts or stuck sessions.
By leveraging this skill, developers gain deep architectural control over the model gateway. It streamlines provider setups (such as DeepSeek or MiniMax), handles complex multi-agent routing using dmScope, and provides a structured methodology to switch models dynamically without interrupting existing agent workflows.
openclaw.json configuration.openclaw.json) and active plugins, prioritizing plugins over manually configured providers for identical models.dmScope configuration, messages from multiple bots and users are isolated into distinct sessions to prevent crosstalk.To configure model providers, update your openclaw.json configuration file:
{
"providers": {
"deepseek": {
"apiKey": "sk-...",
"baseUrl": "https://api.deepseek.com"
}
}
}
Verify and check active models or session statuses using the command-line interface:
# Check the current globally active model
openclaw status
# Query the active session-level model
session_status
To list all loaded model plugins and config providers:
openclaw plugin list | grep -i model
grep -A5 '"providers"' ~/.openclaw/openclaw.json
The configuration and state are organized across these files and command-line interfaces:
| Configuration Type | Target Location | Description |
|---|---|---|
| Global Gateway Configuration | ~/.openclaw/openclaw.json |
Stores provider keys, base URLs, fallback chains, and routing parameters. |
| Session Status Information | In-memory / Database state | Managed via session_status, tracking individual session-to-model associations. |
| Cron Payload Schema | Scheduled Cron Config | Defines the specific model override (e.g., "model": "deepseek/deepseek-v4-flash") to bypass cold starts. |
Use the following dmScope inside your openclaw.json to organize Telegram multi-agent environments:
{
"telegram": {
"dmScope": "per-channel-peer-account"
}
}
/model <provider/model> command inside an active session to instantly force-switch the underlying model without restarting the gateway.dmScope to per-channel-peer-account to ensure that parallel bots run on isolated conversation paths.Loading
A Chromium extension that sanitizes web pages by masking PII, blocking dark patterns, and neutralizing prompt injections before an AI agent parses them.

A scheduled, AI-driven daily expense tracker that processes Telegram check-ins, deduplicates entries, and syncs local Markdown ledgers with Google Sheets.

This skill transforms unstructured health logs, daily check-ins, or voice transcripts into structured, non-diagnostic wellness pattern maps using the 8 dimensions of wellness.

A comprehensive reference guide and action plan for building, deploying, and optimizing serverless workflows on the Cloudflare Developer Platform.

MCPorter is a versatile command-line interface designed to configure, authenticate, inspect, and call Model Context Protocol (MCP) servers and tools directly via HTTP or stdio.

A powerful skill for AI coding agents to manage Proxmox VE nodes, virtual machines, LXC containers, backups, and storage via the PVE REST API.








































