brand-sentinel品牌舆情哨兵：搜索公开平台的品牌相关信息，自动去重和时效过滤，输出结构化结果供 LLM 做风险分级和预警。 触发场景：监控某品牌/产品的公开舆情、搜索负面信息并按时间筛选、定时巡查品牌口碑、竞品舆情对比。 关键词：品牌监控、舆情搜索、负面信息、口碑巡查、舆情预警、品牌声誉、sentinel、舆情哨兵。 不做的事：...
Install via ClawdBot CLI:
clawdbot install bbniao100/brand-sentinelGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://127.0.0.1:18432/get_token`）Uses known external API (expected, informational)
api.zhipuai.cnAudited Apr 17, 2026 · audit v1.0
Generated May 13, 2026
企业市场或公关部门每日定时运行本工具，监控品牌相关负面关键词，及时获取舆情动态。通过JSON输出集成到内部系统，辅助LLM进行风险分级与预警决策。
产品经理或市场分析师使用本工具同时监控多个竞品品牌的公开信息，对比负面话题和口碑趋势，为产品定位和营销策略提供数据支持。
当品牌爆发重大负面事件时，运营团队使用本工具设置较长时间窗口（如72小时）回溯事件经过，收集关键信息以制定应对方案。
运维工程师将本工具集成到cron或CI/CD流水线中，定时触发舆情搜索，结果自动推送到消息队列或数据库，实现品牌口碑的持续监测。
在AI Agent平台中，Agent根据用户指令动态调用本工具，获取结构化舆情数据后由LLM进行深度分析，生成人类可读的摘要和预警建议。
提供云端舆情监控服务，客户按月或年订阅，自动运行sentinel.py并将结果推送给客户，按品牌数量或搜索次数收费。
将sentinel.py封装成API接口，企业客户通过调用API获取舆情数据，按请求次数或数据量计费，支持高并发与自定义参数。
为客户提供基于本工具的定期舆情分析报告，包含趋势分析、竞品对比、风险预警等增值服务，按报告周期和深度收费。
💬 Integration Tip
将sentinel.py作为子进程调用，解析其JSON输出即可集成到现有系统；注意配置AutoGLM Token服务地址以保证搜索API可用。
Scored May 13, 2026
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