A streamlined utility for Openclaw Skills to query and display all currently available internal AI models via a dedicated API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install model-checker
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install model-checker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Model Checker?
Model Checker is a specialized tool designed to provide developers with real-time visibility into their organization's internal AI infrastructure. By integrating seamlessly with Openclaw Skills, this utility allows users to programmatically or via natural language query the specific Large Language Models (LLMs) currently active and ready for use. This ensures that agents and developers are always working with the most up-to-date model inventory, preventing errors caused by deprecated or offline endpoints.
Model Checker Use Cases
- Verifying the availability of specific LLMs before executing complex agentic workflows.
- Discovering new internal AI model endpoints added to the corporate infrastructure.
- Auditing available AI resources within the Openclaw Skills ecosystem for project planning.
- Troubleshooting connectivity issues with internal model providers.
How Model Checker Works
- The user issues a command such as 'show available models' within the agent interface.
- The skill initiates an authenticated request to the internal corporate API endpoint.
- The skill retrieves the raw JSON data containing the model registry.
- The response is parsed and formatted into a human-readable list for the user.
- The agent can then use this information to dynamically switch or recommend the best model for subsequent tasks.
Model Checker Setup
To integrate Model Checker into your project, ensure your environment has access to the internal network. You can add the skill to your Openclaw Skills configuration using the following command:
openclaw install model-checker
Ensure that the endpoint https://cwork-api-test.xgjktech.com.cn/filegpt/t_ai/nologin/aiTypeList is whitelisted in your firewall settings.
Model Checker Data Schema & Taxonomy
The skill processes a structured response from the internal API. The metadata typically includes:
| Attribute | Description |
|---|---|
| model_id | The unique identifier for the AI model |
| model_type | The classification of the model (e.g., chat, embedding) |
| availability | Real-time status of the model endpoint |
| description | Brief overview of the specific model version |
Model Checker Advanced Features
- Direct integration with internal corporate AI gateways for secure model discovery.
- Support for no-login public endpoints for rapid testing and development.
- Natural language processing support within Openclaw Skills to interpret query intent.
- Lightweight footprint optimized for fast response times in multi-agent environments.
SKILL.md
Loading
Related Openclaw Skills
Speech Coach
An AI-powered public speaking coach that utilizes a structured 15-step curriculum and 25 core methodologies to transform users into confident, persuasive speakers.
Tencent Cloud Diagnostics (txcloud-diagnostics)
An automated diagnostic tool for identifying and resolving anomalies across the Tencent Cloud product ecosystem using real-time monitoring data.
Srbija Voz Status
A powerful transit monitoring skill that scrapes and summarizes live train status and station metadata from Srbija Voz official endpoints.
Idea Inbox
A powerful automation tool that captures ideas from Feishu private chats and organizes them into a structured Bitable database using AI.
Local Budget Analysis
A privacy-focused financial tool for analyzing CSV bank exports and generating detailed spending reports locally.
Test Runner
A versatile automated testing skill that detects, writes, and executes tests across various programming languages and frameworks.
Featured*
