投放数据分析

基于超级直播、淘宝直播及财务数据，自动识别文件并计算ROI、转化率等关键指标，生成综合投放数据分析报告。

This skill appears to be what it says: a local data-processing/reporting tool that reads CSV/XLSX files, computes KPIs, and writes HTML/CSV reports. Before installing or running: 1) Note the default data and output directories (/Users/zhouhao/... and ~/Desktop) and change them if you prefer to keep data elsewhere. 2) The SKILL.md shows environment variables (TOUFANG_*) but the registry listing does not declare them — the code will still read those env vars if you set them; decide which you want to use. 3) Install dependencies in a virtualenv (pip install -r requirements.txt) and inspect the three main scripts (main.py, clawhub_main.py, simple_run.py) if you want to confirm behavior. 4) Run on non-sensitive sample data first to confirm outputs and column name expectations (some cross-report formulas assume specific columns like 退货率 or 保量佣金). 5) If you need assurance about network/exfiltration risk: there are no network calls in the code, but if you modify the skill to add integrations, review those changes. Overall: functionally coherent and proportionate; proceed with normal caution for any tool that reads local files.

Type: OpenClaw Skill Name: toufang-data-analysis Version: 1.0.1 The skill bundle is a legitimate data analysis tool designed to process e-commerce and live-streaming performance data (Super Live, Taobao Live, and financial reports). The Python code (main.py, calculator.py, data_processor.py) uses standard data science libraries like pandas and numpy to calculate business metrics such as ROI and conversion rates. There is no evidence of data exfiltration, unauthorized network access, or malicious prompt injection in SKILL.md. While the configuration (config.py) contains hardcoded local file paths specific to a user environment ('/Users/zhouhao/'), these appear to be development artifacts rather than intentional malice.