openclaw/emotion-memory-assistant
786793119/emotion-memory-assistant/SKILL.md
自动追踪用户情绪变化，在合适的时机关心用户。检测对话情绪、记忆历史、主动关心、周报生成。
$ install --global
skillsauthnpx skillsauth add openclaw/skills emotion-memory-assistantInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
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9
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 20, 2026, 3:17 PM1.5s1 file scanned
SKILL.md
情感记忆助手 (Emotion Memory Assistant)
自动追踪用户情绪变化，在合适的时机关心用户。
功能
detect_emotion- 检测对话中的情绪关键词recall_emotion_history- 查询历史情绪记录send_care_message- 发送关心消息给用户generate_weekly_report- 生成每周情绪报告
情绪关键词库
正向情绪: 开心、高兴、愉快、兴奋、满意、舒服、快乐、幸福
负向情绪: 难过、伤心、焦虑、担心、害怕、沮丧、低落、郁闷、烦、生气、失望
中性状态: 忙、累、困、无聊
主动关心机制
当检测到用户负面情绪，且距离上次关心超过30分钟，自动发送关心消息。
使用示例
from emotion_memory import detect_emotion, recall_emotion_history, generate_weekly_report
# 检测情绪
result = detect_emotion("今天基金亏了，心情不好...")
print(result)
# 查询历史
history = recall_emotion_history(days=7)
# 生成周报
report = generate_weekly_report()
数据存储
- 历史记录:
~/.memory/emotions/history.json
By Miya - 2026
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