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单SKU门店分析
by
Xtechmerge.AI
· GitHub ↗
· v1.0.0
· MIT-0
109
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Install in OpenClaw
/install retail-sku-store-analysis
Description
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、...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install retail-sku-store-analysis - After installation, invoke the skill by name or use
/retail-sku-store-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: 支持SKU销售表现、库存状态、导购贡献分析
Metadata
Frequently Asked Questions
What is 单SKU门店分析?
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、... It is an AI Agent Skill for Claude Code / OpenClaw, with 109 downloads so far.
How do I install 单SKU门店分析?
Run "/install retail-sku-store-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 单SKU门店分析 free?
Yes, 单SKU门店分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 单SKU门店分析 support?
单SKU门店分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 单SKU门店分析?
It is built and maintained by Xtechmerge.AI (@gwyang7); the current version is v1.0.0.
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