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Trip Discover
作者
Swayam Gupta
· GitHub ↗
· v1.0.0
346
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install trip-discover
功能描述
Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X v...
安全使用建议
This skill appears coherent and safe in terms of required access: it will perform web searches for current weather and destinations and may read the agent's memory to use your saved places. Before installing, consider: (1) Are you comfortable allowing the agent to access your saved places / memory? That may include personal travel history or wishlists. (2) The skill assumes 'From city: Delhi' by default — tell it your correct origin or confirm the assumption. (3) Recommendations use live web lookups and rough cost estimates; verify booking details and weather from authoritative sources before acting. If you want to limit privacy exposure, deny memory access or remove sensitive saved places first.
功能分析
Type: OpenClaw Skill
Name: trip-discover
Version: 1.0.0
The skill bundle defines a 'trip-discover' agent skill. The `SKILL.md` file instructs the AI agent to 'Search the web' for travel information and 'Check memory for saved destinations'. These capabilities (web access and memory access) are directly aligned with the stated purpose of recommending travel destinations and planning from saved places. There is no evidence of prompt injection attempting to subvert the agent's purpose, exfiltrate data, execute malicious commands, or establish persistence. The instructions are clear, legitimate, and necessary for the skill's functionality.
能力评估
Purpose & Capability
Name and description match the instructions: the SKILL.md asks the agent to search the web, pick 2–3 destinations, provide travel time/cost/weather and prefer saved places. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Instructions are narrowly scoped to recommending trips, comparing destinations, and checking saved places. They explicitly require web searches for current info and reading the agent's memory for saved destinations; both are coherent with the purpose but mean the skill will access network resources and personal memory data (saved destinations).
Install Mechanism
No install spec and no code files (instruction-only). Nothing will be written to disk or installed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths — proportional to a recommendation-only skill. The only sensitive access indicated is reading agent memory for saved places, which is expected but should be understood by the user.
Persistence & Privilege
always is false and the skill does not request any elevated or persistent platform privileges or modifications to other skills. Normal autonomous invocation is allowed (platform default).
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install trip-discover - 安装完成后，直接呼叫该 Skill 的名称或使用
/trip-discover触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of trip-discover: personalized travel recommendations based on vibe, budget, duration, and group size.
- Supports trip suggestions, destination comparisons, and plans from users’ saved places or wishlists.
- Extracts key criteria from requests; defaults to Delhi as starting city if not specified.
- Provides concise, real-time recommendations with travel details, estimated costs, and seasonal weather.
- Opinionated, max three destination suggestions per request; always checks memory for saved places before suggesting new ones.
元数据
常见问题
Trip Discover 是什么？
Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X v... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 346 次。
如何安装 Trip Discover？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trip-discover」即可一键安装，无需额外配置。
Trip Discover 是免费的吗？
是的，Trip Discover 完全免费（开源免费），可自由下载、安装和使用。
Trip Discover 支持哪些平台？
Trip Discover 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Trip Discover？
由 Swayam Gupta（@swayamg20）开发并维护，当前版本 v1.0.0。
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