freeride

Discover and rank free OpenRouter models, then update OpenClaw configuration with primary and fallback models.

1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/jannolan200211-ship-it/my-cosmos-backup --skill freeride
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: freeride
Source: https://github.com/jannolan200211-ship-it/my-cosmos-backup/tree/main/03%20Reference/02%20System%20Configs/skills/freeride
Command: npx skills add https://github.com/jannolan200211-ship-it/my-cosmos-backup --skill freeride

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests.

What problem does it solve?

Freeride addresses the challenge of costly AI models by configuring OpenClaw to use free AI models from OpenRouter, automatically ranking them, and implementing fallbacks to prevent rate-limit interruptions.

Core Features & Use Cases

  • Automatically selects the best free OpenRouter model as the primary
  • Adds ranked fallbacks to ensure continuous responses during rate limits
  • Updates ~/.openclaw/openclaw.json while preserving existing configuration
  • Supports commands like freeride auto, freeride list, and freeride switch to manage models

Quick Start

Run freeride auto to configure the best free model and fallbacks, then restart the OpenClaw gateway.

Frequently Asked Questions about freeride

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use free OpenRouter models with OpenClaw to reduce API costs?

You can use free OpenRouter models with OpenClaw by running an automated configuration that discovers models with zero prompt pricing, ranks them by context length and provider trust, and updates ~/.openclaw/openclaw.json as the primary model.

How do I automatically switch OpenClaw models when hitting OpenRouter rate limits?

To switch OpenClaw models automatically during rate limits, you configure ranked fallback models in your deployment. This approach rotates to the next available free model to ensure continuous AI responses without manual intervention.

What's the best way to find free AI models on OpenRouter for my gateway configuration?

The best way to find free AI models on OpenRouter is to query the API data and filter for models where pricing.prompt equals zero or the model name ends with a :free suffix, then rank them by recency and capabilities.

Does configuring free OpenRouter models preserve my existing OpenClaw gateway and environment settings?

Configuring free OpenRouter models preserves your existing OpenClaw gateway and environment settings. The setup updates only the primary model, fallbacks, and models allowlist within ~/.openclaw/openclaw.json without overwriting your current configuration.

How are free OpenRouter models ranked for reliability and context length?

Free OpenRouter models are ranked by evaluating their context length, supported capabilities, recency of updates, and provider trust score. This ranking ensures the most capable and reliable models are selected as primary and fallback options.

What commands do I need to manage and switch free models in OpenClaw?

To manage and switch free models in OpenClaw, you use commands like 'auto' to configure the best model and fallbacks, 'list' to view available options, and 'switch' to manually change models before restarting the gateway.