Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add CraftOS-dev/CraftBot --skill free-ridegit clone --depth 1 https://github.com/CraftOS-dev/CraftBotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/craftos-dev/craftbot/free-ride)<a href="https://agentmods.dev/skills/craftos-dev/craftbot/free-ride"><img src="https://agentmods.dev/badge/skills/craftos-dev/craftbot/free-ride/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/craftos-dev/craftbot/free-ride"><img src="https://agentmods.dev/badge/skills/craftos-dev/craftbot/free-ride.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.00943 |
| Opus 5.5 | $0.00025 | $0.00377 |
| Sonnet 5.5 | $0.00013 | $0.00189 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
freeride scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- freeride — 94% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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 |
After any command that changes config, always run openclaw gateway restart.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 91 lines · 63 tokens per session scan A 06e07f2a2ca0
freeride is a skill published in the GitHub repository CraftOS-dev/CraftBot (399 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 943 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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