SKILL.md
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- **The
freerideCLI is installed.** Check withwhich 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 <model>
User wants a specific model (e.g. freeride switch qwen3-coder)
freeride switch <model> -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
freeride rotate
User is rate-limited / fallback chain is dead — live-test and rebuild
**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/modelcommand 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 (Background Daemon)
For autonomous recovery from a "whole chain is rate-limited" deadlock — which
the agent can't fix by itself, since calling freeride rotate requires
inference and inference is exactly what's failing — the user can run a slim
background daemon:
# Foreground
freeride-watcher
# Persistent background
nohup freeride-watcher > ~/.openclaw/freeride-watcher.log 2>&1 &
# One-shot check (no loop)
freeride-watcher --once
# State / history
freeride-watcher --status
The daemon probes the current primary every 60s; if it fails, it rebuilds the
chain with live-verified models. Recommend this whenever the user is leaving
an unattended OpenClaw setup running.
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/<provider>/<model>:free