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 L-LesterYu/OpenClaw-hot-skills-zh --skill freeride-zhgit clone --depth 1 https://github.com/L-LesterYu/OpenClaw-hot-skills-zhWrote 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/l-lesteryu/openclaw-hot-skills-zh/freeride-zh)<a href="https://agentmods.dev/skills/l-lesteryu/openclaw-hot-skills-zh/freeride-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/freeride-zh/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/l-lesteryu/openclaw-hot-skills-zh/freeride-zh"><img src="https://agentmods.dev/badge/skills/l-lesteryu/openclaw-hot-skills-zh/freeride-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00070 | $0.01039 |
| Opus 5 | $0.00035 | $0.00519 |
| Sonnet 5 | $0.00014 | $0.00208 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
freeride-zh 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FreeRide - OpenClaw 免费AI
这个技能的作用
配置 OpenClaw 使用 OpenRouter 的免费 AI 模型。将最佳免费模型设置为主模型，添加排名靠前的备用模型以便在限流时不中断用户，同时保留现有配置。
前置条件
在运行任何 FreeRide 命令之前，请确保：
-
OPENROUTER_API_KEY 已设置。 使用
echo $OPENROUTER_API_KEY检查。如果为空，用户需要在 https://openrouter.ai/keys 获取免费密钥并设置：export OPENROUTER_API_KEY="sk-or-v1-..." # 或者持久化保存： openclaw config set env.OPENROUTER_API_KEY "sk-or-v1-..." -
freerideCLI 已安装。 使用which freeride检查。如果未找到：cd ~/.openclaw/skills/freeride-zh pip install -e .
主要工作流程
当用户想要免费 AI 时，按顺序执行以下步骤：
# 步骤 1：配置最佳免费模型 + 备用模型
freeride auto
# 步骤 2：重启网关以便 OpenClaw 应用更改
openclaw gateway restart
就这么简单。用户现在拥有了带自动故障切换的免费 AI。
通过告诉用户发送 /status 来验证当前使用的模型。
命令参考
| 命令 | 使用场景 |
|---|---|
freeride auto |
用户想要设置免费 AI（最常用） |
freeride auto -f |
用户想要添加备用模型但保留当前主模型 |
freeride auto -c 10 |
用户想要更多备用模型（默认是 5 个） |
freeride list |
用户想要查看可用的免费模型 |
freeride list -n 30 |
用户想要查看所有免费模型 |
freeride switch <model> |
用户想要指定特定模型（如 freeride switch qwen3-coder） |
freeride switch <model> -f |
仅将特定模型添加为备用 |
freeride status |
检查当前 FreeRide 配置 |
freeride fallbacks |
仅更新备用模型 |
freeride refresh |
强制刷新缓存的模型列表 |
任何更改配置的命令后，都要运行 openclaw gateway restart。
它写入配置的内容
FreeRide 只更新 ~/.openclaw/openclaw.json 中的这些键：
agents.defaults.model.primary— 例如openrouter/qwen/qwen3-coder:freeagents.defaults.model.fallbacks— 例如["openrouter/free", "nvidia/nemotron:free", ...]agents.defaults.models— 白名单，使/model命令显示免费模型
其他所有内容（网关、通道、插件、环境变量、自定义指令、命名代理）都会保留。
第一个备用模型始终是 openrouter/free — OpenRouter 的智能路由器，根据请求自动选择最佳可用模型。
监控器（可选）
对于限流时的自动轮换，用户可以运行：
freeride-watcher --daemon # 持续监控
freeride-watcher --rotate # 立即强制轮换
freeride-watcher --status # 检查轮换历史
故障排除
| 问题 | 解决方案 |
|---|---|
freeride: command not found |
cd ~/.openclaw/skills/freeride-zh && pip install -e . |
OPENROUTER_API_KEY not set |
用户需要从 https://openrouter.ai/keys 获取密钥 |
| 更改未生效 | openclaw gateway restart 然后使用 /new 开启新会话 |
| 代理显示 0 tokens | 检查 freeride status — 主模型应该是 openrouter/<provider>/<model>:free |
What ships with it
6 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.
- 13d ago First seen · 92 lines · 70 tokens per session scan A 444e2bc29c2b
freeride-zh is a skill published in the GitHub repository L-LesterYu/OpenClaw-hot-skills-zh (54 stars, last pushed 5mo ago), licensed MIT. It adds 70 tokens to every session and 1,039 once invoked, about $0.0003 per session on Opus 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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