按类别或厂商查找并获取网络安全报告,比较威胁、勒索软件、数据泄露、云安全和AI趋势。分析会注明每项数据的厂商、年份及报告,并分别呈现来源间的分歧。
- 按类别查找威胁报告
- 获取指定厂商的报告
- 比较多家厂商的勒索软件趋势
查询 CDC 和加州公开的污水监测数据,按地区查看新冠、流感等病原体的活动水平、检测情况和每周趋势,并显示数据日期与来源。
Pull California population-level pathogen surveillance from CDC NWSS and CDPH/CHHS Open Data — SARS-CoV-2, Influenza A/B, RSV, Mpox, Norovirus, H5, Candida auris from CA wastewater plants, statewide or for a configured region. Intents: GetCovidData (CDC viral activity level per site, week-over-week trend), GetWastewaterData (multi-pathogen panel). Leads clinical 4-7 days. USE WHEN wastewater, California COVID, viral load, COVID status, COVID levels near me, flu data, RSV, pathogen tracking, outbreak monitoring. NOT FOR national or non-CA surveillance.
实测评分 未实测
查看安装方法此技能通过 CDC 国家污水监测系统和加州公共卫生部公开数据,查询加州污水样本中的病原体信息。新冠数据可按污水处理设施查看活动水平及其较前一周的变化方向;还可查看甲型和乙型流感、呼吸道合胞病毒等病原体。对于州级数据所涵盖的目标,可汇总查看浓度和检出情况。结果会标明病原体、地区、数据日期和来源。
旅行或活动前想了解加州的感染趋势、查看新冠每周变化,或集中查看流感、呼吸道合胞病毒等病原体时,可以使用此技能。完成地区设置后,也能查看指定区域的数据。
此技能仅查询加州公开数据,不支持全美或加州以外的监测数据。未指定地区时,结果覆盖全州。不同公开数据集的更新时间不同,因此结果不是实时数值;请同时查看数据标注的周次或采样日期。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。
不计入评分。 由 AI(OpenAI Codex)于 2026年10月28日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Pulls California population-level pathogen surveillance from two public sources: CDC's National Wastewater Surveillance System (a viral activity level per treatment plant for SARS-CoV-2, Influenza A and RSV) and CDPH's sample-level data on the CHHS Open Data Portal (concentrations for every pathogen target CDPH tests). Answers cover California statewide and, when configured, one region of counties.
Clinical case counts miss asymptomatic, unreported and untested infections and trail community spread by days. Wastewater catches everything that enters the sewer regardless of testing behavior, so it leads clinical signals by 4–7 days. Both sources publish on their own schedules; this skill pulls the latest figures each run and turns them into a level and trend you can act on before booking travel or an event.
Tools/Wastewater.ts, with the dataset named so the value can be checked.| Intent | Trigger | File |
|---|---|---|
| GetCovidData | "COVID numbers", "COVID status", "COVID data", viral load, activity level, trend before events/travel; default when ambiguous | Intents/GetCovidData.md |
| GetWastewaterData | "wastewater", "respiratory viruses", "flu", "RSV", "norovirus", multi-pathogen panel | Intents/GetWastewaterData.md |
| File | Read when |
|---|---|
Tools/Wastewater.help.md | flags, exit codes, what each command reads |
Setup.md | first-time setup, the region config, the proof command |
First-time setup, accounts and a proof command: Setup.md.
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/WastewaterCA/Config.md (or the file WASTEWATER_CONFIG names) holds - region:, - counties: as Name FIPS pairs, and an optional - rpho region: for the clinical layer. bun skills/WastewaterCA/Tools/Wastewater.ts config prints what a run resolves to.06xxx FIPS code stops the run with exit 2 rather than silently going statewide.county_names holds codes such as 06067; CDC counties_served holds names. Config.md carries both so each source is matched on its own field.wastewater.csv from the Respiratory Virus Weekly Report is reading year-old data.Example 1: COVID before travel
User: "What are the COVID numbers before my trip?"
→ GetCovidData intent
→ Wastewater.ts covid, then covid --statewide: the week ending date, sites reporting, how many at each CDC level,
the median site WVAL and its week-over-week direction, region and state side by side
Example 2: Multi-pathogen panel
User: "How are flu and RSV looking in wastewater?"
→ GetWastewaterData intent
→ Wastewater.ts panel: one row per pathogen target with its data date, geography, two-week level against the
12-month range, trend and sample count
Example 3: Local view with the clinical layer
User: "Is flu actually up around here?"
→ GetWastewaterData intent, with Wastewater.ts covid --pathogen flu and the CHHS dashboard rows for the configured rpho region
→ The regional panel, per-site CDC flu levels, and regional test positivity
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按类别或厂商查找并获取网络安全报告,比较威胁、勒索软件、数据泄露、云安全和AI趋势。分析会注明每项数据的厂商、年份及报告,并分别呈现来源间的分歧。
通过三轮分析,对比单个功能或组件的设计需求与整个系统的目标,梳理两者的冲突、合适的实现范围,以及方案是否符合整体方向。
按文章主题寻找格言或引文,按相关程度排序,并附上作者和推荐理由。可添加带出处的引文、按主题研究思想家的言论、整理使用记录,帮助避免重复引用。
按用途选择制作流程,生成博客插图、技术图解、比较图、漫画和图标等视觉内容,并输出供预览的图像。
依据简报和制作标准评估图片、影片、幻灯片及网站页面截图,由视觉评审给出评分和缺陷优先级,支持有限轮次的修改;通过评审后才能交付,并可记录人工评分供后续校准。
按主题、研究领域或论文编号查找 arXiv 论文,并整理标题、作者、摘要和链接;查看新投稿,也可在有内容时获取 AlphaXiv 的人工智能生成概述。