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simulated-roadtrip模拟公路旅行

Agent Skill

simulated-roadtrip 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

13,978

周安装

571

GitHub Stars

公开资料未说明

下载量

4,522
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:simulated-roadtrip(模拟公路旅行)
来源仓库:https://github.com/jpaulgrayson/simulated-roadtrip
安装命令:
openclaw skills install simulated-roadtrip
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install simulated-roadtrip

简介

使用真实的 Google 地图数据生成经过 GPS 验证的停靠点和主题描述的公路旅行叙述,并在定时更新或聊天中发布。

SKILL.md

Simulated Road Trip

Let your Clawbot go on a GPS-grounded road trip through the real world. Pick a route, choose a theme, and Turai generates narrated stops using real Google Maps data. Your agent posts updates as it "travels."

Concept

Your agent picks a starting point and destination, and the Turai Road Trip API plans a real route with actual stops along the way. Each stop includes:

  • Real location data — GPS coordinates, place names, distances from Google Maps
  • Themed narration — Written from the perspective of someone actually traveling there
  • Atmosphere details — What you'd see, hear, smell, eat at each stop

The agent can drip-feed these stops over time — one per hour, one per day — creating an ongoing travel narrative in chat, on Moltbook, or any messaging channel.

Themes

ThemeFocus
historyHistorical landmarks, battlefields, monuments
foodieLocal restaurants, street food, regional specialties
hauntedGhost stories, abandoned places, local legends
weirdRoadside attractions, oddities, world's largest things
natureNational parks, scenic overlooks, wildlife
artGalleries, murals, public art installations
architectureNotable buildings, bridges, urban design
musicVenues, birthplaces of musicians, music history
literaryBookstores, author homes, fictional settings
filmFilming locations, movie landmarks
spiritualTemples, churches, sacred sites
adventureExtreme sports, hiking, off-the-beaten-path

Setup

  1. Get a Turai API key from turai.org
  2. Set the environment variable:
   export TURAI_API_KEY="your-key-here"

Usage

From the command line

# Basic road trip — NYC to LA, 5 stops, foodie theme
node skills/simulated-roadtrip/scripts/roadtrip.mjs \
  --from "New York City" \
  --to "Los Angeles" \
  --theme foodie \
  --stops 5

# Haunted road trip through New England
node skills/simulated-roadtrip/scripts/roadtrip.mjs \
  --from "Salem, MA" \
  --to "Sleepy Hollow, NY" \
  --theme haunted \
  --stops 4

# Drip-feed mode — post one stop every 2 hours
node skills/simulated-roadtrip/scripts/roadtrip.mjs \
  --from "Nashville, TN" \
  --to "New Orleans, LA" \
  --theme music \
  --stops 6 \
  --drip 2h

# Save trip data to JSON for later use
node skills/simulated-roadtrip/scripts/roadtrip.mjs \
  --from "Tokyo" \
  --to "Kyoto" \
  --theme art \
  --stops 4 \
  --output trip.json

Drip-feed intervals

  • 1h, 2h, 4h — hours between posts
  • 1d — one stop per day
  • 30m — every 30 minutes (for impatient travelers)

From your agent

"Take a road trip from Chicago to Austin, music theme, 5 stops"

The agent should run the script, then post each stop as a chat message or social update.

API Reference

Endpoint: POST https://turai.org/api/agent/roadtrip

Headers:

  • x-api-key: Your Turai API key
  • Content-Type: application/json

Body:

{
  "from": "New York City",
  "to": "Los Angeles",
  "theme": "foodie",
  "stops": 5
}

Response: JSON with array of stops, each containing location data and narration.

Files

  • SKILL.md — This file
  • scripts/roadtrip.mjs — Main script

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.62%
按下载量换算3,465

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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