Sentiment Analyzer

客服场景文本情绪分析工具。当需要对客户消息进行情绪识别（愤怒/焦虑/中性/满意/热情）、敏感词检测、情绪波动告警时使用。适用于：自动调整回复语气、触发紧急转接、投诉分级处理、NPS情绪追踪。触发词：情绪分析、情感检测、客户情绪、愤怒检测、情绪告警、sentiment。

This skill appears to do what it says: a local, rule-based sentiment analyzer suitable for customer-service flows. Before installing, consider: (1) Data privacy — it stores session data under /tmp/sentiment_tracking/{session_id}.json (only first 100 characters are saved) but you should confirm this meets your retention and PII policies; change the path or add encryption/permissions if needed. (2) Cleanup — ensure session files are deleted or rotated after use to avoid leakage on shared hosts. (3) Accuracy & bias — it's a simple keyword rule engine; test for false positives/negatives and review the sensitive/negative word lists for unacceptable terms or localization issues. (4) Isolation — run in an environment where /tmp is not accessible to untrusted users if messages are sensitive. There are no network calls or credential requests, so network exfiltration risk from the included code is low, but always review deployed runtime environment and file permissions before use.