门店目标追踪分析

门店目标追踪分析工具。支持日/周/月三周期目标追踪，T-N数据延迟，黄绿黄灯状态预警。 核心能力： 1. 三周期追踪（日追踪-晨会/实时预警、周追踪-周会复盘、月追踪-月度考核） 2. T-N数据延迟支持（默认T-1） 3. 黄绿黄灯状态（🟢正常、🟡关注、🟠警告、🔴告警/紧急） 4. 批量告警检查（检查所...

This skill is suspiciously under-documented: before installing, verify the missing pieces. Specifically: 1) Inspect the external api_client (get_copilot_data) that the code imports from /Users/yangguangwei/.openclaw/workspace-front-door — understand what network endpoints it calls and what credentials it needs. 2) Confirm you have (or are willing to supply) the local data files (~/.openclaw/workspace-store-ops-analyst/targets/*.json and cache user_stores_114.json) and that they don't contain secrets you don't want the skill to read. 3) Ask the publisher for an install spec and list of required environment variables/credentials; it is unsafe to run code that silently depends on a local API client. 4) Note the code contains apparent bugs/undefined variables in return values—test in a sandbox before using on production data. If you cannot verify the api_client and its network behavior, avoid enabling this skill or run it in an isolated environment.

Type: OpenClaw Skill Name: retail-target-tracking-analysis Version: 1.0.0 The skill bundle contains a hardcoded absolute path to a specific user's home directory (/Users/yangguangwei/) in analyze.py, which is a significant security and portability flaw. Additionally, analyze.py contains functional bugs, such as referencing undefined variables (store_id, store_code, store_name) within the analyze_period function. While these issues indicate poor code quality and potential vulnerabilities, there is no clear evidence of intentional malicious behavior or data exfiltration.