ClawHub

Trip Discover

v1.0.0

Recommend travel destinations based on vibe, budget, duration, and group size. Handles "suggest a trip", "where should I go", "weekend getaway", "compare X v...

⭐ 0· 312·2 current·2 all-time
bySwayam Gupta@swayamg20
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
✓
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.
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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).
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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