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成交商品画像分析
by
Xtechmerge.AI
· GitHub ↗
· v1.0.0
· MIT-0
108
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1
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Install in OpenClaw
/install retail-deal-goods-profile-analysis
Description
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/...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install retail-deal-goods-profile-analysis - After installation, invoke the skill by name or use
/retail-deal-goods-profile-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is 成交商品画像分析?
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/... It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.
How do I install 成交商品画像分析?
Run "/install retail-deal-goods-profile-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 成交商品画像分析 free?
Yes, 成交商品画像分析 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 成交商品画像分析 support?
成交商品画像分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 成交商品画像分析?
It is built and maintained by Xtechmerge.AI (@gwyang7); the current version is v1.0.0.
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