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freeride

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.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

获取

https://deepseekmodel.com/api/download.php?id=shaivpidadi-freeride-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name freeride description 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. env [{"name":"OPENROUTER_API_KEY","description":"OpenRouter API key — get a free one at openrouter.ai/keys","required":true,"secret":true}] network ["openrouter.ai"] writes [{"~/.openclaw/openclaw.json (keys":"agents.defaults.model, agents.defaults.models only)"},"~/.openclaw/.freeride-cache.json","~/.openclaw/.freeride-watcher-state.json"] install pip install -e . 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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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