# free-ride

> Use this tool when you need to manage free AI models from OpenRouter for integration with OpenClaw, solving issues of model accessibility and compatibility. It streamlines the process of utilizing open-source models, taking in model specifications as input and outputting integrated models ready for use. Ideal for applications requiring flexible and cost-effective AI solutions, such as research, development, and testing environments.

Canonical page: https://skillsregistry.net/skills/shaivpidadi-free-ride  
JSON: https://api.skillsregistry.net/v1/skills/shaivpidadi-free-ride

## 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:** 2026-04-22

## Source

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

## 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-free-ride"
    }
  }
}
```

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