A powerful Openclaw skill that enables developers to query and interact with over 27 free large language models via the OpenRouter API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openrouter-free
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 openrouter-free 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 OpenRouter Free Models Access?
OpenRouter Free Models Access is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between developers and high-quality, no-cost AI inference. By leveraging the OpenRouter API, this skill provides a unified interface to explore and chat with a diverse array of models including Meta's Llama, Google's Gemma, and MiniMax, all without incurring usage fees.
This skill is particularly valuable for developers building prototypes, testing multi-model responses, or creating applications that require cost-effective LLM integration. It streamlines the process of identifying which free models are currently available and provides a ready-to-use chat interface for immediate testing and deployment.
OpenRouter Free Models Access Use Cases
- Rapid prototyping of AI applications without initial API costs using Openclaw Skills.
- Comparing performance across different free model families like Llama, Qwen, and Gemma.
- Setting up automated chat interfaces that utilize the openrouter/free auto-routing feature.
- Testing long-context processing with free models offering up to 262K context windows.
How OpenRouter Free Models Access Works
- The skill authenticates with OpenRouter using a provided API key stored in your environment.
- When the list command is issued, it fetches the real-time availability of all 27+ free models.
- For chat requests, the skill formats the prompt and routes it to the specified free model or the recommended auto-router.
- It handles the API response and streams the intelligent dialogue back to the CLI or calling application.
OpenRouter Free Models Access Setup
To get started with this skill, you must first configure your OpenRouter API Key in your project .env file:
# Add your key to the .env file
OPENROUTER_API_KEY=sk-or-v1-your-key-here
Once configured, you can use the following commands to interact with Openclaw Skills:
# List all currently available free models
python3 openrouter_free.py list
# Start a chat with a free model
python3 openrouter_free.py chat "Your question here"
OpenRouter Free Models Access Data Schema & Taxonomy
The skill organizes model data and session information according to the following taxonomy:
| Attribute | Description |
|---|---|
| Model ID | The unique identifier used for API calls (e.g., meta-llama/llama-3.3-70b-instruct:free) |
| Context Length | The maximum token limit supported by the specific free model |
| Provider Type | Classification of the model source (Google, Meta, NVIDIA, etc.) |
| Scenario Mapping | Internal metadata suggests the best use case (General, Long Text, Fast Inference) |
OpenRouter Free Models Access Advanced Features
- Auto-Routing: Use
openrouter/freeto allow the system to automatically select the most responsive free model available. - Massive Context Support: Access models like Gemma 4 26B with up to 262K context length for deep document analysis.
- Multi-Model Coverage: Integrated support for 27+ models including regional favorites like Qwen and MiniMax.
- Lightweight Integration: Designed to work seamlessly within the Openclaw Skills framework for easy multi-agent automation.
SKILL.md
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