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Freeride Agent Skill

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

15k tokens
context cost
the whole folder, loaded on every use
8
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
230
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Shaivpidadi/FreeRide --skill freeride

The instruction itself

8 sections, as written by the author

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:

  • 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-..."
  • 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 <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 /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 (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 |

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How to use it

Copy the folder

Take shaivpidadi/freeride from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.