openrouter-free-responder
Zero-cost OpenRouter responder that auto-discovers the best currently free model, retries on failures, and returns clean answers fast. Use this when a user asks to query OpenRouter, wants lowest-cost/free model routing, or explicitly requests a free-model OpenRouter response.
Why use this skill?
Use this OpenClaw skill to automatically route queries to free OpenRouter models, complete with intelligent retry logic and fallback mechanisms to ensure high-uptime AI performance.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/hgosansn/muktWhat This Skill Does
The openrouter-free-responder skill acts as an intelligent abstraction layer for users who want to leverage the vast capabilities of LLMs without incurring costs. OpenRouter provides access to various open-source and proprietary models, and this skill automates the process of discovering which free-tier models are currently available and operational. When a prompt is submitted, the script automatically cycles through a priority-ranked list of free models, retrying requests upon failure to ensure the user receives a high-quality, reliable response without manual intervention.
Installation
To integrate this skill into your OpenClaw environment, ensure you have the OpenClaw agent runtime installed, then run the following command in your terminal:
clawhub install openclaw/skills/skills/hgosansn/mukt
After installation, you must export your API key to your environment variables:
export OPENROUTER_API_KEY='your_key_here'
Use Cases
- Cost-Effective Prototyping: Ideal for developers testing prompts or building agents who need to avoid recurring API expenses.
- Dynamic Model Fallback: Perfect for automated workflows that require high uptime, as the skill handles provider outages by switching to secondary free models automatically.
- General Assistance: Use it for standard Q&A, drafting emails, or generating code snippets where a paid subscription is unnecessary.
Example Prompts
- "Query OpenRouter for a list of the top 5 Python libraries for data visualization, using the free responder."
- "Explain the concept of quantum entanglement simply, using the system prompt: 'You are a patient physics professor'."
- "Summarize this text for me and provide a bulleted list of key takeaways using the free-model responder: [Text Body]"
Tips & Limitations
- Model Availability: Because the skill relies on "free" models, availability is subject to change based on OpenRouter's provider policy. If all 8 default attempts fail, verify your connectivity and API key status.
- System Prompts: Use the
--systemflag to enforce specific personas, but keep in mind that different models interpret system instructions with varying degrees of success. - Debugging: If you experience erratic behavior or unexpected responses, append the
--debugflag to your command to inspect which models are being queried during the fallback chain.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-hgosansn-mukt": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api