Proclaw Scam insight(骗局洞察者)

基于不确定性与风险转移理论，识别金融骗局模式、分析收割机制、提供反收割策略；当用户需要判断投资是否靠谱、分析骗局原理或学习如何避免被收割时使用

This skill appears coherent and implements local analysis tools for spotting financial scams. Before installing or running: 1) Ensure you run the scripts in a controlled environment (Python 3 with pandas/numpy/matplotlib/networkx if you need visuals) and install packages from official sources (pip). 2) Review the reference docs and sample inputs to confirm outputs match your expectations. 3) The package does not contact external servers, but verify you are comfortable running code from an unknown source; run it in an isolated VM/container if you have any doubt. 4) The SKILL.md lists package versions but provides no automated installer—prepare the runtime accordingly. 5) If you will feed sensitive production data, sanitize it first; these tools process whatever data you provide and will write reports/images to disk.

Type: OpenClaw Skill Name: proclaw-scam-insight Version: 1.0.0 The 'ProClaw-Scam-insight' skill bundle is a comprehensive toolkit designed for financial risk analysis and scam identification. It contains a suite of Python scripts (e.g., kelly_criterion.py, risk_metrics.py, liquidity_analyzer.py) that perform standard financial calculations and a visualization tool (visualization.py) for generating risk reports. The SKILL.md file provides a structured framework for an AI agent to evaluate investment opportunities and identify potential fraudulent patterns. No evidence of malicious intent, data exfiltration, unauthorized execution, or harmful prompt injection was found; the code and documentation are entirely consistent with the stated educational and analytical purpose.