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hanxueyuan

Peninsula

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
74
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install peninsula
Description
Provides detailed information on The Peninsula Hotels brand, global locations, signature services, and luxury hospitality history for research and analysis.
Usage Guidance
The skill is internally consistent and appears safe: it only provides an informational brand guide and asks for no credentials or installs. However, the source is unknown and there is no homepage — if provenance matters to you, prefer skills from verified publishers or with a listed homepage. Also verify any factual claims (dates, property lists, financial figures) against official sources before using them in critical work, since the document may be outdated or contain inaccuracies.
Capability Analysis
Type: OpenClaw Skill Name: peninsula Version: 1.0.0 The skill bundle contains purely informational content regarding The Peninsula Hotels brand, including its history, global locations, and service standards. There is no executable code, network activity, or evidence of prompt injection or malicious intent in either _meta.json or SKILL.md.
Capability Assessment
Purpose & Capability
The name/description advertise a brand guide for The Peninsula Hotels and the SKILL.md contains exactly that content (brand history, properties, services). There are no additional permissions, env vars, or binaries requested that would be unrelated to an informational skill.
Instruction Scope
Runtime instructions are a read_when list and a long brand/reference document in Chinese. The instructions do not ask the agent to read local files, environment variables, system paths, or to transmit data to external endpoints beyond normal agent behavior.
Install Mechanism
No install specification and no code files — the skill is instruction-only, so nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportional for a read-only informational/reference skill.
Persistence & Privilege
always is false and the skill is user-invocable (normal). It does not request permanent presence, nor does it modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install peninsula
  3. After installation, invoke the skill by name or use /peninsula
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
The Peninsula Hotels brand guide skill – version 1.0.0 - Introduces a comprehensive profile of The Peninsula Hotels, including brand history, global presence, and hallmark experiences. - Details landmark properties with key highlights and unique features for each hotel worldwide. - Explains signature elements such as the Rolls-Royce fleet, The Peninsula Academy, and Michelin-starred dining. - Includes essential company data: founders, headquarters, number of hotels, brand positioning, revenue, and ESG commitments. - Designed for reference when researching Peninsula Hotels, analyzing the luxury hotel sector, or creating travel content.
Metadata
Slug peninsula
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Peninsula?

Provides detailed information on The Peninsula Hotels brand, global locations, signature services, and luxury hospitality history for research and analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.

How do I install Peninsula?

Run "/install peninsula" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Peninsula free?

Yes, Peninsula is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Peninsula support?

Peninsula is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Peninsula?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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