← 返回 Skills 市场
成交商品画像分析
作者
Xtechmerge.AI
· GitHub ↗
· v1.0.0
· MIT-0
108
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install retail-deal-goods-profile-analysis
功能描述
成交商品画像分析工具。分析成交商品的品类、价格带、颜色、包型、上市时间等特征分布及环比变化。 核心能力: 1. 品类分布(女包/男包/钱包/配饰占比) 2. 价格带分布(主销价格带、高客单占比) 3. 包型分布(手提/斜挎/双肩/托特等) 4. 颜色分布(黑色系/棕色系/红色等) 5. 上市时间分布(新品/当季/...
安全使用建议
This skill appears to need access to an internal BI endpoint but doesn't declare any credentials; it also force-inserts a hard-coded user path and imports a local api_client. Before installing or using: (1) inspect the api_client implementation referenced by the skill (the module the skill will import) to see what credentials, network calls, or local files it touches; (2) confirm whether the BI API requires tokens/headers and avoid providing high-privilege secrets unless necessary; (3) run the skill in a sandbox or isolated environment first to prevent accidental import of arbitrary local code; (4) if you cannot review api_client, treat the skill as untrusted — it could access local workspace files or exfiltrate data via the API call. If the author intends this to run in your environment, ask them to remove the hard-coded path and declare the exact auth requirements.
功能分析
Type: OpenClaw Skill
Name: retail-deal-goods-profile-analysis
Version: 1.0.0
The skill bundle is a legitimate retail analysis tool designed to process product sales data (categories, price ranges, colors, etc.) from an internal API. While analyze.py contains a hardcoded local path in sys.path, this appears to be an environment-specific configuration rather than a malicious indicator, and the code lacks any signs of data exfiltration, unauthorized execution, or prompt injection.
能力评估
Purpose & Capability
The name/description promise product-feature distributions and period-over-period analysis, and analyze.py implements that logic using data from /api/v1/store/dashboard/bi. However the skill does not declare any credentials or environment requirements even though the code calls an internal API via get_copilot_data. Also the term '画像' may imply image processing, but the code operates on BI API data rather than performing image analysis — the description and implementation are close but not fully aligned.
Instruction Scope
SKILL.md shows only a simple API usage pattern, but analyze.py inserts a hard-coded local path (sys.path.insert(0, '/Users/yangguangwei/.openclaw/workspace-front-door')) and imports api_client.get_copilot_data, then calls '/api/v1/store/dashboard/bi'. The runtime will therefore attempt to load a local module from a specific user workspace (non-portable) and make network/API calls that require authentication — none of which are described in SKILL.md. This expands scope beyond the documented instructions and could access local code or secrets via that local import.
Install Mechanism
There is no install spec (instruction-only style with a bundled analyze.py). Nothing is downloaded or written by an installer. The primary risk stems from runtime imports and API calls, not an installer fetching remote code.
Credentials
requires.env declares no credentials, but the code calls an internal API via get_copilot_data — this likely needs authentication (cookies, headers, or tokens) supplied by an existing local client. The code also hard-codes a user-specific filesystem path which could cause it to import unintended local modules with access to other credentials or state. The lack of declared credentials is disproportionate to the apparent need to call a private BI endpoint.
Persistence & Privilege
The skill does not request always:true and has no install script modifying agent-wide settings. It appears to run only when invoked and does not declare persistent privileges.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install retail-deal-goods-profile-analysis - 安装完成后,直接呼叫该 Skill 的名称或使用
/retail-deal-goods-profile-analysis触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: 支持成交商品品类、价格带、颜色、包型、上市时间分析
元数据
常见问题
成交商品画像分析 是什么?
成交商品画像分析工具。分析成交商品的品类、价格带、颜色、包型、上市时间等特征分布及环比变化。 核心能力: 1. 品类分布(女包/男包/钱包/配饰占比) 2. 价格带分布(主销价格带、高客单占比) 3. 包型分布(手提/斜挎/双肩/托特等) 4. 颜色分布(黑色系/棕色系/红色等) 5. 上市时间分布(新品/当季/... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 108 次。
如何安装 成交商品画像分析?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install retail-deal-goods-profile-analysis」即可一键安装,无需额外配置。
成交商品画像分析 是免费的吗?
是的,成交商品画像分析 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
成交商品画像分析 支持哪些平台?
成交商品画像分析 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 成交商品画像分析?
由 Xtechmerge.AI(@gwyang7)开发并维护,当前版本 v1.0.0。
推荐 Skills