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单SKU门店分析

作者 Xtechmerge.AI · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
109
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当前安装
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版本数
在 OpenClaw 中安装
/install retail-sku-store-analysis
功能描述
单SKU门店分析工具。分析单个商品在指定门店的销售表现、库存状态、导购贡献和AIoT转化数据。 核心能力: 1. SKU基础信息(名称、款号、颜色、包型、标准价、上市日期) 2. 销售表现(销售额、销量、成交均价、贡献率、排名) 3. 库存状态(当前库存、在架天数、绑定状态) 4. 导购贡献(各导购销售额、销量、...
安全使用建议
This skill's purpose (single-SKU store analysis) is plausible, but the shipped code imports an api_client from a hard-coded, user-specific path (/Users/yangguangwei/.openclaw/workspace-front-door). That indicates it expects local/internal SDKs or credentials that are not declared in the skill metadata. Before installing or running: - Inspect the api_client module (get_copilot_data): where does it send requests, how does it authenticate, and does it read local secrets or config files? Do not run the skill until you verify this. - Ask the publisher to remove the absolute path and either vendor the client or document required environment variables/config and the host(s) the skill will contact. - If you cannot obtain trustworthy answers, do not grant this skill access to sensitive environments; running it may cause requests to internal services or use credentials implicitly present on the host. - Prefer a version that declares its credentials, uses relative imports or a packaged dependency, and documents data retention and endpoints. If you need to use it now, run it in an isolated environment and monitor outgoing network calls.
功能分析
Type: OpenClaw Skill Name: retail-sku-store-analysis Version: 1.0.0 The skill bundle contains a hardcoded absolute path to a specific user's directory (/Users/yangguangwei/.openclaw/workspace-front-door) in analyze.py to import the api_client dependency. This is a significant security and portability flaw that could lead to local path traversal or execution issues if the environment is manipulated. Aside from this vulnerability, the code and SKILL.md instructions appear to be a legitimate retail analysis tool for SKU performance and AIoT data.
能力评估
Purpose & Capability
The skill claims to analyze SKU/store data and exposes API endpoints consistent with that purpose. However, the code imports get_copilot_data from an absolute user-specific path (/Users/yangguangwei/.openclaw/workspace-front-door) rather than a packaged client; the skill does not declare any required credentials or config, yet clearly depends on an internal API client. Requiring access to an internal client (and by extension its credentials/config) is disproportionate to the skill's published metadata and not documented.
Instruction Scope
SKILL.md and the code call internal endpoints (/api/v1/store/dashboard/bi/...), which is expected for a retail analytics tool. The runtime instructions and analyze() return raw_data including clerks, customer-group and performance info (sensitive business data). The code inserts a hard-coded absolute path into sys.path to import a local api_client; that import likely causes the agent to use locally stored credentials/config or access internal services not described in the skill metadata. The instructions do not declare or explain this dependency or what credentials/config are needed.
Install Mechanism
There is no install spec (instruction-only style) which reduces installer risk. However, the included analyze.py is not self-contained and expects a local module at a user-specific path. Because no install or packaging is provided, the skill will likely fail outside the original developer's environment or implicitly rely on the agent environment having specific local files/configs.
Credentials
The skill declares no required environment variables or credentials, but the code relies on an external api_client (get_copilot_data) that almost certainly requires access to internal endpoints and credentials. That implicit need for credentials/config is not declared, which is disproportionate and hides the real credential/host dependencies from the user.
Persistence & Privilege
The skill does not request permanent 'always' inclusion and has no install step that alters other skills or system-wide config. It appears to run on-demand and returns results; no persistent privileged behavior is present in the provided files.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install retail-sku-store-analysis
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /retail-sku-store-analysis 触发
  4. 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SKU销售表现、库存状态、导购贡献分析
元数据
Slug retail-sku-store-analysis
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

单SKU门店分析 是什么?

单SKU门店分析工具。分析单个商品在指定门店的销售表现、库存状态、导购贡献和AIoT转化数据。 核心能力: 1. SKU基础信息(名称、款号、颜色、包型、标准价、上市日期) 2. 销售表现(销售额、销量、成交均价、贡献率、排名) 3. 库存状态(当前库存、在架天数、绑定状态) 4. 导购贡献(各导购销售额、销量、... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 109 次。

如何安装 单SKU门店分析?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install retail-sku-store-analysis」即可一键安装,无需额外配置。

单SKU门店分析 是免费的吗?

是的,单SKU门店分析 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

单SKU门店分析 支持哪些平台?

单SKU门店分析 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 单SKU门店分析?

由 Xtechmerge.AI(@gwyang7)开发并维护,当前版本 v1.0.0。

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