Free Ride - Unlimited free AI

Low
by Shaivpidadi | Audited: 2026-02-26T09:59:20.936Z | Ruleset: 0.2.0

Quick Install

Add this skill to your agent

clawhub install free-ride

About This Skill

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...

Use Cases

Documentation (Original)

Source: README.md
The following is the author's original documentation (often English). For installation, follow “Quick Install” above.

🎢 FreeRide

Stop paying for AI. Start riding free.

License: MIT
OpenClaw Compatible
OpenRouter


FreeRide gives you unlimited free AI in OpenClaw by automatically managing OpenRouter's free models.

You: *hits rate limit*
FreeRide: "I got you." *switches to next best model*
You: *keeps coding*

The Problem

You're using OpenClaw. You love it. But:

  • 💸 API costs add up fast
  • 🚫 Free models have rate limits
  • 😤 Manually switching models is annoying
  • 🤷 You don't know which free model is actually good

The Solution

One command. Free AI. Forever.

freeride auto

That's it. FreeRide:

  1. Finds the 30+ free models on OpenRouter
  2. Ranks them by quality (context length, capabilities, speed)
  3. Sets the best one as your primary
  4. Configures smart fallbacks for when you hit rate limits
  5. Preserves your existing OpenClaw config

Installation

npx clawhub@latest install freeride
cd ~/.openclaw/workspace/skills/free-ride
pip install -e .

That's it. freeride and freeride-watcher are now available as global commands.

Quick Start

1. Get a Free OpenRouter Key

Go to openrouter.ai/keys → Create account → Generate key

No credit card. No trial. Actually free.

2. Set Your Key

export OPENROUTER_API_KEY="sk-or-v1-..."

Or add it to your OpenClaw config:

openclaw config set env.OPENROUTER_API_KEY "sk-or-v1-..."

3. Run FreeRide

freeride auto

4. Restart OpenClaw

openclaw gateway restart

5. Verify It Works

Message your agent on WhatsApp/Telegram/Discord or the dashboard:

You:    /status
Agent:  (shows the free model name + token count)

Done. You're now running on free AI with automatic fallbacks.

What You Get

Primary Model: openrouter/nvidia/nemotron-3-nano-30b-a3b:free (256K context)

Fallbacks:
  1. openrouter/free          ← Smart router (auto-picks best available)
  2. qwen/qwen3-coder:free    ← Great for coding
  3. stepfun/step-3.5:free    ← Fast responses
  4. deepseek/deepseek:free   ← Strong reasoning
  5. mistral/mistral:free     ← Reliable fallback

When you hit a rate limit, OpenClaw automatically tries the next model. You keep working. No interruptions.

Commands

Command What it does
freeride auto Auto-configure best model + fallbacks
freeride list See all 30+ free models ranked
freeride switch <model> Use a specific model
freeride status Check your current setup
freeride fallbacks Update fallbacks only
freeride refresh Force refresh model cache

Pro Tips

# Already have a model you like? Just add fallbacks:
freeride auto -f

# Want more fallbacks for maximum uptime?
freeride auto -c 10

# Coding? Switch to the best coding model:
freeride switch qwen3-coder

# See what's available:
freeride list -n 30

# Always restart OpenClaw after changes:
openclaw gateway restart

How It Ranks Models

FreeRide scores each model (0-1) based on:

Factor Weight Why
Context Length 40% Longer = handle bigger codebases
Capabilities 30% Vision, tools, structured output
Recency 20% Newer models = better performance
Provider Trust 10% Google, Meta, NVIDIA, etc.

The smart fallback openrouter/free is always first - it auto-selects based on what your request needs.

Testing with Your OpenClaw Agent

After running freeride auto and openclaw gateway restart:

# Check OpenClaw sees the models
openclaw models list

# Validate config
openclaw doctor --fix

# Open the dashboard and chat
openclaw dashboard
# Or message your agent on WhatsApp/Telegram/Discord

Useful agent commands to verify:

Command What it tells you
/status Current model + token usage
/model Available models (your free models should be listed)
/new Start fresh session with the new model

Watcher (Auto-Rotation)

FreeRide includes a watcher daemon that monitors for rate limits and automatically rotates models:

# Run once (check + rotate if needed)
freeride-watcher

# Run as daemon (continuous monitoring)
freeride-watcher --daemon

# Force rotate to next model
freeride-watcher --rotate

# Check watcher status
freeride-watcher --status

# Clear rate limit cooldowns
freeride-watcher --clear-cooldowns

FAQ

Is this actually free?

Yes. OpenRouter provides free tiers for many models. You just need an account (no credit card).

What about rate limits?

That's the whole point. FreeRide configures multiple fallbacks. When one model rate-limits you, OpenClaw automatically switches to the next.

Will it mess up my OpenClaw config?

No. FreeRide only touches agents.defaults.model and agents.defaults.models. Your gateway, channels, plugins, workspace, customInstructions - all preserved.

Which models are free?

Run freeride list to see current availability. It changes, which is why FreeRide exists.

Do I need to restart OpenClaw after changes?

Yes. Run openclaw gateway restart after any FreeRide command that changes your config.

The Math

Scenario Monthly Cost
GPT-4 API $50-200+
Claude API $50-200+
OpenClaw + FreeRide $0

You're welcome.

Requirements

  • OpenClaw installed (Node ≥22)
  • Python 3.8+
  • Free OpenRouter account (get key)

Architecture

┌──────────────┐     ┌──────────────┐     ┌──────────────────┐
│  You         │ ──→ │  FreeRide    │ ──→ │  OpenRouter API  │
│  "freeride   │     │              │     │  (30+ free       │
│   auto"      │     │  • Fetch     │     │   models)        │
└──────────────┘     │  • Rank      │     └──────────────────┘
                     │  • Configure │
                     └──────┬───────┘
                            │
                            ▼
                     ┌──────────────┐
                     │ ~/.openclaw/ │
                     │ openclaw.json│
                     └──────┬───────┘
                            │
                     openclaw gateway restart
                            │
                            ▼
                     ┌──────────────┐
                     │  OpenClaw    │
                     │  (free AI!)  │
                     └──────────────┘

Contributing

Found a bug? Want a feature? PRs welcome.

cd ~/.openclaw/workspace/skills/free-ride

# Test commands
freeride list
freeride status
freeride auto --help

Related Projects

License

MIT - Do whatever you want.


<p align="center">
<b>Stop paying. Start riding.</b>
<br>
<br>
<a href="https://github.com/Shaivpidadi/FreeRide">⭐ Star us on GitHub</a>
·
<a href="https://openrouter.ai/keys">🔑 Get OpenRouter Key</a>
·
<a href="https://github.com/openclaw/openclaw">🦞 Install OpenClaw</a>
</p>

Security Audit

Low

Summary

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates opencla...

Risk Profile Toxicity Privacy Scope Reputation Quality

ToxicSkills Analysis

Blocklist
Not matched
Prompt Injection
Not detected

Toxic Flags

credential-accessexfiltration

No Toxic signals detected by current static checks.

Key Risks 0 items

No LLM risk bullets (LLM disabled or not cached).

Deterministic Findings (Evidence)

Rule Severity File Snippet
SENSITIVE_ENV medium skills/Shaivpidadi/free-ride/main.py Line 48
api_key = os.environ.get("OPENROUTER_API_KEY")
NET_HTTP_REQUEST medium skills/Shaivpidadi/free-ride/main.py Line 74
response = requests.get(OPENROUTER_API_URL, headers=headers, timeout=30)
NET_HTTP_REQUEST medium skills/Shaivpidadi/free-ride/watcher.py Line 98
response = requests.post(
QUALITY_README_PRESENT low README Line n/a
README detected

Scoring Criteria

Each skill is scored across 5 dimensions. The weighted total determines the star rating.

Code Toxicity 100/100 (weight 30%)
Privacy Risk 66/100 (weight 25%)
Permission Scope 80/100 (weight 20%)
Author Reputation 75/100 (weight 15%)
Code Quality 78/100 (weight 10%)

Star Rating Scale

5★ Safe — Score ≥ 80
4★ Good — Score 70–79
3★ Caution — Score 60–69
2★ Risky — Score 40–59
1★ Dangerous — Score < 40

Why This Score?

All dimensions scored above 60. This skill passed the safety baseline.

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