网红小店

v0.1.0

提供关于网红小店的推荐清单、打卡路线与指南。用户搜索网红小店或规划相关出行时调用。

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byClawKK@codekungfu
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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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description (recommendation lists, routes, guides for popular shops) match the SKILL.md content. There are no unexpected binaries, credentials, or config paths requested.
Instruction Scope
SKILL.md provides filters, return fields, examples and tips but is high-level and does not specify data sources or APIs to use. That makes it coherent but means the agent could either fetch from external sources or fabricate recommendations if not constrained — consider requiring provenance/citations for listings.
Install Mechanism
No install spec and no code files — instruction-only skills have minimal disk footprint and present low install risk.
Credentials
No environment variables, credentials, or config paths are requested; this is proportionate for a recommendation/listing skill.
Persistence & Privilege
Defaults are used (no always:true). The skill can be invoked autonomously by agents (normal platform behavior) but it does not request elevated or persistent privileges.
Assessment
This skill appears coherent and low-risk, but before using it: 1) ask the developer how the listings are sourced and request citations for shop information, prices, and opening hours (to avoid hallucinated or stale data); 2) be cautious about acting on bookings/payments without verifying links and contact details independently; 3) only grant location or personal data if explicitly needed and you trust the source; and 4) if you need stronger guarantees, prefer a version that calls verifiable APIs or includes provenance fields for each recommendation.

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.

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