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Install in OpenClaw
/install toys
Description
提供关于网红玩具的推荐清单、打卡路线与指南。用户搜索网红玩具或规划相关出行时调用。
Usage Guidance
This skill appears coherent and low-risk: it only contains guidance for producing toy recommendation lists and itineraries and does not request credentials or install software. Two practical points before enabling: 1) the SKILL.md is intentionally high-level about data sources — if you want to limit network scraping or external API calls, restrict the agent's network access or require explicit user consent before pulling web/social data; 2) because it allows the agent some discretion in gathering '热度与口碑' signals, review how the agent sources and cites information (which websites/APIs it will call) if accuracy or data provenance matters. Otherwise there are no immediate security red flags.
Capability Analysis
Type: OpenClaw Skill
Name: toys
Version: 0.1.0
The skill bundle consists of metadata and markdown instructions for an AI agent to provide recommendations and guides for trending toys. There is no executable code, network activity, or evidence of prompt injection or malicious intent in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name, description, and SKILL.md all describe the same purpose (providing recommendation lists, routes and guides for trending toys). There are no extra binaries, env vars, or install steps that would be unexpected for this purpose.
Instruction Scope
SKILL.md is high-level and scoped to filters, return fields, example queries, and operational notes. It does not instruct reading local files or requiring credentials, but it is open-ended about how '每周迭代' and '结合新热度与口碑反馈' are achieved — that could imply web scraping or calling external APIs at runtime. This is not inherently malicious but grants broad discretion to the agent unless further constrained.
Install Mechanism
No install spec and no code files — instruction-only skill, so nothing is written to disk or downloaded during installation.
Credentials
The skill declares no environment variables, credentials, or config paths. The requested scope is proportionate to its stated function.
Persistence & Privilege
No elevated privileges requested. always is false and the skill is user-invocable; it does not request persistent or system-wide changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install toys - After installation, invoke the skill by name or use
/toys - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
网红玩具技能首次发布：
- 提供网红玩具推荐清单与出行指南。
- 支持风格、价格、服务等多维筛选。
- 返回店铺信息、活动、预约及拍摄规则等详情。
- 输出适用城市、场景的搜索与定制化推荐。
- 每周根据热度与反馈进行内容更新。
Metadata
Frequently Asked Questions
What is Toys?
提供关于网红玩具的推荐清单、打卡路线与指南。用户搜索网红玩具或规划相关出行时调用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 147 downloads so far.
How do I install Toys?
Run "/install toys" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Toys free?
Yes, Toys is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Toys support?
Toys is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Toys?
It is built and maintained by mike47512 (@mike47512); the current version is v0.1.0.
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