Security checks across malware telemetry and agentic risk
This skill openly performs local conversation-derived behavior tracking and report generation, with privacy caveats but no evidence of hidden exfiltration, destructive behavior, or unrelated privilege use.
Install only if you want local conversation-derived behavior tracking. Review the OpenClaw workspace memory directory before use, avoid enabling cron or heartbeat automation unless you are comfortable with ongoing analysis, and delete the generated behavior files if you later want to remove the profile.
"""保存行为数据"""
data["last_updated"] = datetime.now().isoformat()
BEHAVIOR_FILE.parent.mkdir(parents=True, exist_ok=True)
with open(BEHAVIOR_FILE, 'w') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
def extract_from_memory(date_str=None):# 3. 生成报告
report = generate_report(analysis, data)
report_file = MEMORY_DIR / "behavior-report.md"
with open(report_file, 'w') as f:
f.write(report)
print(f"[{datetime.now()}] ✅ 分析完成!")return {"topics": {}, "projects": {}, "skills": {}}
def save_data(data):
with open(BEHAVIOR_FILE, 'w') as f:
json.dump(data, f, indent=2, ensure_ascii=False)
def record(topic=None, project=None, skill=None, note=None):56/56 vendors flagged this skill as clean.