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Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json.
Passed 20 of 23 test cases with the skill, and 5 of 23 without it.
and 17 more in the full report
16 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to inspect available free AI models for OpenClaw using the CLI tool, but only the default concise list. What command shows this?
| Checked | Without skill | With skill |
|---|---|---|
| Prescribes running freeride list without flags | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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 .
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.
test cases passed, vs 5 / 23 without
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