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shaivpidadi

Free Ride - Unlimited free AI

by Shaishav Pidadi · GitHub ↗ · v1.0.6 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install freeride
Description
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...
README (SKILL.md)

FreeRide - Free AI for OpenClaw

What This Skill Does

Configures OpenClaw to use free AI models from OpenRouter. Sets the best free model as primary, adds ranked fallbacks so rate limits don't interrupt the user, and preserves existing config.

Prerequisites

Before running any FreeRide command, ensure:

  1. OPENROUTER_API_KEY is set. Check with echo $OPENROUTER_API_KEY. If empty, the user must get a free key at https://openrouter.ai/keys and set it:

    export OPENROUTER_API_KEY="sk-or-v1-..."
    # Or persist it:
    openclaw config set env.OPENROUTER_API_KEY "sk-or-v1-..."
    
  2. The freeride CLI is installed. Check with which freeride. If not found:

    cd ~/.openclaw/workspace/skills/free-ride
    pip install -e .
    

Primary Workflow

When the user wants free AI, run these steps in order:

# Step 1: Configure best free model + fallbacks
freeride auto

# Step 2: Restart gateway so OpenClaw picks up the changes
openclaw gateway restart

That's it. The user now has free AI with automatic fallback switching.

Verify by telling the user to send /status to check the active model.

Commands Reference

Command When to use it
freeride auto User wants free AI set up (most common)
freeride auto -f User wants fallbacks but wants to keep their current primary model
freeride auto -c 10 User wants more fallbacks (default is 5)
freeride list User wants to see available free models
freeride list -n 30 User wants to see all free models
freeride switch \x3Cmodel> User wants a specific model (e.g. freeride switch qwen3-coder)
freeride switch \x3Cmodel> -f Add specific model as fallback only
freeride status Check current FreeRide configuration
freeride fallbacks Update only the fallback models
freeride refresh Force refresh the cached model list

After any command that changes config, always run openclaw gateway restart.

What It Writes to Config

FreeRide updates only these keys in ~/.openclaw/openclaw.json:

  • agents.defaults.model.primary — e.g. openrouter/qwen/qwen3-coder:free
  • agents.defaults.model.fallbacks — e.g. ["openrouter/free", "nvidia/nemotron:free", ...]
  • agents.defaults.models — allowlist so /model command shows the free models

Everything else (gateway, channels, plugins, env, customInstructions, named agents) is preserved.

The first fallback is always openrouter/free — OpenRouter's smart router that auto-picks the best available model based on the request.

Watcher (Optional)

For auto-rotation when rate limited, the user can run:

freeride-watcher --daemon    # Continuous monitoring
freeride-watcher --rotate    # Force rotate now
freeride-watcher --status    # Check rotation history

Troubleshooting

Problem Fix
freeride: command not found cd ~/.openclaw/workspace/skills/free-ride && pip install -e .
OPENROUTER_API_KEY not set User needs a key from https://openrouter.ai/keys
Changes not taking effect openclaw gateway restart then /new for fresh session
Agent shows 0 tokens Check freeride status — primary should be openrouter/\x3Cprovider>/\x3Cmodel>:free
Usage Guidance
Install only if you are comfortable giving the skill access to an OpenRouter API key and allowing it to modify your global OpenClaw model settings. Avoid echoing the key, back up or review your OpenClaw config before changes, and use the watcher daemon only when you intentionally want continuous automatic model rotation.
Capability Analysis
Type: OpenClaw Skill Name: freeride Version: 1.0.6 The 'freeride' skill manages free AI models by programmatically modifying the primary OpenClaw configuration file (~/.openclaw/openclaw.json) and interacting with the OpenRouter API. While the logic in main.py and watcher.py is consistent with the stated purpose of ranking models and handling rate-limit fallbacks, the skill possesses high-risk capabilities including direct modification of application settings, network access to external endpoints, and handling of the OPENROUTER_API_KEY. No evidence of intentional malice or data exfiltration was found, but the high-privilege nature of its operations warrants a suspicious classification per the defined threshold.
Capability Assessment
Purpose & Capability
The skill purpose is coherent: it fetches OpenRouter free models, ranks them, and updates OpenClaw model/fallback configuration. The impact is still broad because it changes the default model behavior for OpenClaw agents.
Instruction Scope
The setup instructions tell the user/agent to check the API key with `echo $OPENROUTER_API_KEY`, which can print a secret into terminal, agent, or log context.
Install Mechanism
Registry metadata says there is no install spec and no required credential, but the artifacts include Python entry points, a pip editable install flow, a requests dependency, and an OpenRouter API key requirement.
Credentials
The skill reads and writes `~/.openclaw/openclaw.json`, writes cache/state files under `~/.openclaw`, and contacts OpenRouter. These actions are aligned with the stated purpose, but they affect the user's global OpenClaw environment.
Persistence & Privilege
The optional watcher daemon is disclosed, but if run it continuously checks models and can automatically modify the OpenClaw model configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install freeride
  3. After installation, invoke the skill by name or use /freeride
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.6
- Initial release of the freeride skill for OpenClaw. - Automatically configures OpenClaw to use ranked free AI models from OpenRouter, with fallbacks for rate-limit handling. - Updates only relevant model configuration keys in openclaw.json, preserving user settings elsewhere. - Includes CLI reference for managing models, fallbacks, and status checks. - Supports automated model rotation with an optional watcher utility.
v0.1.0
- Added an "Installation" section to the documentation, including instructions for automatic installation with npx. - No changes to logic; documentation improvements only.
v1.0.3
- No changes in this release. - Version bump only; no files were modified.
v1.0.0
Initial release of FreeRide – free AI model management for OpenClaw via OpenRouter. - Auto-configures primary and fallback free OpenRouter models, updating openclaw.json. - Ranks models by context size, capabilities, recency, and provider trust. - Offers commands to list, auto-configure, switch, and update fallbacks for models. - Preserves existing gateway, channel, and plugin settings during updates. - Provides troubleshooting guidance for API keys, config issues, and OpenClaw restarts.
Metadata
Slug freeride
Version 1.0.6
License MIT-0
All-time Installs 76
Active Installs 65
Total Versions 4
Frequently Asked Questions

What is Free Ride - Unlimited free AI?

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla... It is an AI Agent Skill for Claude Code / OpenClaw, with 6783 downloads so far.

How do I install Free Ride - Unlimited free AI?

Run "/install freeride" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Free Ride - Unlimited free AI free?

Yes, Free Ride - Unlimited free AI is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Free Ride - Unlimited free AI support?

Free Ride - Unlimited free AI is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Free Ride - Unlimited free AI?

It is built and maintained by Shaishav Pidadi (@shaivpidadi); the current version is v1.0.6.

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