门店销售业绩分析

门店销售业绩环比分析工具。支持门店/导购业绩同比分析（本期 vs 上期），识别业绩波动原因，量化归因，输出诊断结论和改进建议。 使用场景： 1. 门店整体业绩分析（销售额、订单数、客单价、连带率） 2. 导购个人业绩分析（排名、业绩占比、能力雷达图） 3. 多门店/多导购对比分析 4. 业绩波动归因（订单贡献 v...

Before installing or running this skill, do the following: 1) Inspect the api_client module referenced at ~/.openclaw/workspace-front-door (and the absolute path /Users/yangguangwei/...) to see what network calls it makes, which hosts it contacts, and what credentials or files it reads; 2) Confirm where get_copilot_data sends requests (base URL) and whether it will use any local tokens or system credentials—if it contacts internal BI endpoints, ensure that's intended; 3) Remove or fix the hardcoded absolute path in analyze.py (it reveals a username and may break on other systems); 4) Run the skill in a restricted/sandboxed environment first, and avoid running with elevated privileges; 5) If you cannot inspect the local api_client, do not grant this skill access to environments containing sensitive tokens or credentials. These steps will reduce the risk of accidental credential exposure or unexpected data exfiltration.

Type: OpenClaw Skill Name: retail-sales-performance-analysis Version: 1.0.0 The skill contains a hardcoded absolute path to a specific local user directory (/Users/yangguangwei/.openclaw/workspace-front-door) in analyze.py to import the critical api_client dependency. While the retail sales analysis logic aligns with the documentation in SKILL.md, hardcoding local user paths is a significant security risk and packaging flaw that could lead to module shadowing or environment information leakage. No evidence of intentional malice, such as data exfiltration or unauthorized remote execution, was detected.