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hanxueyuan

Farfetch

by hanxueyuan · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
82
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install farfetch
Description
提供farfetch品牌的创立背景、核心业务、市场分布、行业地位及最新动态的结构化信息查询服务。
README (SKILL.md)

farfetch

farfetch 是其所在领域的知名品牌。本技能为用户提供关于 farfetch 的结构化信息检索。

涵盖内容

• 创立背景与发展时间线 • 核心产品与服务范围
• 全球业务布局 • 行业地位分析

使用场景

市场调研 | 商业决策 | 学术参考

数据来源

建议参考官方渠道与权威行业报告。

Usage Guidance
This skill appears coherent and low-risk: it only provides structured information about Farfetch and requests no credentials or system access. Before installing, consider: (1) the skill author is unknown — verify outputs and dates by checking cited official sources yourself; (2) the skill can be invoked autonomously by the agent (platform default), but it has no privileges to access your files or secrets; (3) if you need authoritative or up-to-date market data, prefer using primary sources or paid industry reports rather than relying solely on a summary from this skill.
Capability Analysis
Type: OpenClaw Skill Name: farfetch Version: 1.0.1 The skill bundle contains only metadata and a documentation file (SKILL.md) providing general information about the brand Farfetch. It lacks any executable code, network requests, or instructions that could be used for malicious purposes or prompt injection.
Capability Assessment
Purpose & Capability
Name/description promise (brand background, business, market position, updates) matches the SKILL.md content. The skill declares no credentials, binaries, or config access — appropriate for a read-only information helper.
Instruction Scope
SKILL.md contains narrow runtime instructions: trigger when the user mentions Farfetch or needs background, return structured brand information, and reference official/industry sources. It does not instruct reading local files, accessing environment variables, or sending data to external endpoints.
Install Mechanism
No install spec and no code files — the lowest-risk model (instruction-only). Nothing is downloaded or written to disk.
Credentials
No environment variables, credentials, or config paths are requested. The absence of secrets is proportionate to the described capability.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. Autonomous invocation is allowed by platform default but the skill's scope is read-only and limited.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install farfetch
  3. After installation, invoke the skill by name or use /farfetch
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated the SKILL.md to improve summary and usage scenarios. - Refined sections to clarify covered content and data sources. - Streamlined the document for better readability and concise guidance. - Adjusted trigger situations to better match user needs.
v1.0.0
farfetch skill 1.0.0 introduces structured information for brand/organization background and products. - Provides overviews of founding, headquarters, business, and market presence. - Supports queries on industry status and latest news. - Enables scenarios like business research, product info lookup, and market analysis. - Includes links to official sources for further details.
Metadata
Slug farfetch
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Farfetch?

提供farfetch品牌的创立背景、核心业务、市场分布、行业地位及最新动态的结构化信息查询服务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.

How do I install Farfetch?

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

Is Farfetch free?

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

Which platforms does Farfetch support?

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

Who created Farfetch?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.1.

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