Tencent SkillHub · AI

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 openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: requirements.txt, README.md, setup.py, SKILL.md, watcher.py, main.py

Validation

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Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

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Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.5

Provenance

Publisher: Shaivpidadi
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 7 sections Open source page

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

CommandWhen to use itfreeride autoUser wants free AI set up (most common)freeride auto -fUser wants fallbacks but wants to keep their current primary modelfreeride auto -c 10User wants more fallbacks (default is 5)freeride listUser wants to see available free modelsfreeride list -n 30User wants to see all free modelsfreeride switch <model>User wants a specific model (e.g. freeride switch qwen3-coder)freeride switch <model> -fAdd specific model as fallback onlyfreeride statusCheck current FreeRide configurationfreeride fallbacksUpdate only the fallback modelsfreeride refreshForce 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

ProblemFixfreeride: command not foundcd ~/.openclaw/workspace/skills/free-ride && pip install -e .OPENROUTER_API_KEY not setUser needs a key from https://openrouter.ai/keysChanges not taking effectopenclaw gateway restart then /new for fresh sessionAgent shows 0 tokensCheck freeride status — primary should be openrouter/<provider>/<model>:free

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Scripts2 Docs1 Files

SKILL.md Primary doc
README.md Docs
main.py Scripts
setup.py Scripts
watcher.py Scripts
requirements.txt Files