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codenova58

Styling

by codenova58 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
208
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0
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1
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Install in OpenClaw
/install styling
Description
提供专业穿搭、发型建议、化妆技巧及个人形象顾问筛选。
Usage Guidance
This skill describes useful local styling and shop‑filtering features but doesn't say how it will get live queue, booking, navigation, or review data. Before installing or using it, ask the publisher: (1) which data sources/APIs will be used (maps, booking platforms, review sites), (2) whether the skill will request your location or access to any accounts, and (3) whether it will require API keys or send data to third‑party endpoints. Prefer skills that list their data sources and required permissions; avoid giving location or credentials unless you trust where the data will be sent. If you plan to use it, test with non‑sensitive queries first and verify that results cite reputable sources.
Capability Analysis
Type: OpenClaw Skill Name: styling Version: 0.1.0 The skill bundle consists of metadata and a markdown file (SKILL.md) providing instructions for a styling and image consultant assistant. It contains no executable code, network requests, or malicious instructions, and its content is entirely consistent with its stated purpose of providing fashion and grooming advice.
Capability Assessment
Purpose & Capability
The skill claims to provide local, real‑time filtering (distance modes, live queue/booking, updated hours, navigation). Those capabilities normally require access to mapping/geolocation services and review/booking APIs, yet the skill declares no integrations, binaries, or credentials. This gap means the skill's stated capabilities are not fully justified by its declared requirements.
Instruction Scope
SKILL.md lists outputs like实时排队情况 (live queue), 预约通道 (booking channels), 精准导航路径, and community image galleries — but gives no instructions for which APIs/websites to query, whether to prompt the user for location or permissions, or how to verify data freshness. The instructions are high‑level and assume access to external real‑time data without specifying sources or limits.
Install Mechanism
Instruction‑only skill with no install spec and no code files — low install risk. Nothing will be written to disk by an installer because there is no installer described.
Credentials
No environment variables or credentials are requested (good), but the functionality described typically requires third‑party API keys (maps, booking systems) or user location. If this skill is later extended to call those services it will need credentials; the current absence of any declared auth is a transparency gap rather than immediate overreach.
Persistence & Privilege
always is false and the skill is user‑invocable with model invocation allowed (normal). The skill does not request persistent platform privileges or modify other skills' config.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install styling
  3. After installation, invoke the skill by name or use /styling
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of the Styling skill. - 提供穿搭、发型、化妆等专业建议及个人形象顾问筛选服务 - 支持按地理距离、社交热度、消费档次进行个性化筛选 - 返回实时排队、预约信息、社区图库、避坑清单等关键字段 - 示例请求和功能玩法说明,便于快速上手 - 根据地理与社区热度灵活更新信息 - 温馨提示节假日排队及到店体验注意事项
Metadata
Slug styling
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Styling?

提供专业穿搭、发型建议、化妆技巧及个人形象顾问筛选。 It is an AI Agent Skill for Claude Code / OpenClaw, with 208 downloads so far.

How do I install Styling?

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

Is Styling free?

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

Which platforms does Styling support?

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

Who created Styling?

It is built and maintained by codenova58 (@codenova58); the current version is v0.1.0.

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