陈列货盘分析

陈列货盘分析工具。从货盘视角分析引起客户意向的商品和试用行为变化。 核心能力： 1. 三漏斗交叉分析（displayFunnel陈列SKU + behaviorFunnel试用次数 + customerFunnel客户） 2. 引起意向的商品变化（引起意向SKU数、引起意向SKU占比） 3. 客户对意向商品的试用...

This skill appears to implement the claimed assortment/funnel analysis, but it depends on an external local module (imported from /Users/yangguangwei/.openclaw/workspace-front-door/api_client) that is not part of the skill and could perform network calls or use credentials you didn't intend to share. Before installing or running: 1) Inspect the api_client implementation at that absolute path (or require the skill to include a self-contained client) to see what hosts it calls and what credentials it reads. 2) Make the skill declare any API host and credentials it needs; prefer narrow-scope tokens. 3) Avoid running the skill in an environment where that local path contains unreviewed code — run in a sandbox or provide a vetted client implementation. 4) If you cannot review the external api_client, do not run this skill with access to sensitive credentials or a network with internal BI systems. If the skill is meant for your organization, ask the publisher to remove hard-coded absolute paths and explicitly document required configuration and credential scopes.

Type: OpenClaw Skill Name: retail-store-assortment-analysis Version: 1.0.0 The skill is a retail assortment analysis tool designed to calculate SKU engagement and conversion metrics from store BI data. The code in `analyze.py` fetches data from a legitimate-looking API endpoint (`/api/v1/store/dashboard/bi`) and performs standard business logic calculations. While `analyze.py` contains a hardcoded absolute path to a specific user's directory (`/Users/yangguangwei/...`) for module imports, which is a non-portable coding flaw and a potential configuration risk, there is no evidence of malicious intent, data exfiltration, or prompt injection.