# freeride-ai

> Use this tool when you need to manage and integrate free AI models from OpenRouter for OpenClaw, solving issues of model accessibility and compatibility. It streamlines the process of utilizing open-source AI models, taking in model specifications as input and outputting integrated models for use in OpenClaw applications. Ideal for use cases requiring flexible and cost-effective AI model deployment.

Canonical page: https://skillsregistry.net/skills/shaivpidadi-freeride-ai  
JSON: https://api.skillsregistry.net/v1/skills/shaivpidadi-freeride-ai

## Description

Manages free AI models from OpenRouter for OpenClaw.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-04-21

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/shaivpidadi-freeride-ai)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shaivpidadi-freeride-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaivpidadi-freeride-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaivpidadi-freeride-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt