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Trip Discover
by
Swayam Gupta
· GitHub ↗
· v1.0.0
346
Downloads
0
Stars
2
Active Installs
1
Versions
Install in OpenClaw
/install trip-discover
Description
Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X v...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trip-discover - After installation, invoke the skill by name or use
/trip-discover - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Trip Discover?
Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X v... It is an AI Agent Skill for Claude Code / OpenClaw, with 346 downloads so far.
How do I install Trip Discover?
Run "/install trip-discover" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trip Discover free?
Yes, Trip Discover is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Trip Discover support?
Trip Discover is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trip Discover?
It is built and maintained by Swayam Gupta (@swayamg20); the current version is v1.0.0.
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