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
从美国公开数据源整理城市犯罪率、近期事件、同比变化和地区比较,并为每项数字注明来源与数据年份,同时说明统计延迟和事件数据不完整等限制。
Pulls US city crime statistics from public sources (FBI crime data, city police data portals, state open-data portals, rate aggregators): rates per 100K, year-over-year trends, recent incidents and city comparisons, defaulting to a configured home city. USE WHEN crime stats, crime rate, crime trends, violent crime, property crime, recent incidents, neighborhood safety, compare cities, is my city safe. NOT FOR people investigations.
实测评分 未实测
查看安装方法CrimeStats 从 FBI 犯罪统计、警察部门公开数据和州级开放数据等来源收集美国城市的犯罪信息。它可以整理每十万人犯罪率、同比变化、暴力犯罪与财产犯罪分类、近期报告的事件,并比较多个城市或地区。若未指定城市,则使用已配置的默认城市。每项数字都附有来源和数据年份,并说明相关限制,例如 FBI 数据发布延迟或事件信息仅覆盖部分机构。
查询美国居住地或旅行目的地的犯罪状况、比较不同地区的趋势,或查看近期事件报告时,可以使用此技能。对于人口较少的城市,少数事件就可能显著改变人均比率,因此也可以同时查看事件绝对数量。
此技能仅处理美国城市。首次使用时需要在配置文件中登记城市信息;若尚未设置,会询问城市和州。资料说明 FBI API 密钥可选,并非必需。技能不会报告或保存事件相关人员的姓名,也不用于调查个人。
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。
Contents: Ideal State · Anti-criteria · Intent Routing · Data & Config · Data Storage · Gotchas · Examples
Pulls and analyzes US city crime statistics from public data sources — rates per 100K, year-over-year trends, recent incidents, and regional comparisons — for the configured default city or any named one. Crime stats live across a dozen sites that disagree with each other, FBI UCR data lags, incident feeds are partial, and a city name can be ambiguous across states, so the skill knows which source to trust for which question: the configured city's police portal (Config.md) for local incident data, AreaVibes, CrimeGrade and HomeSnacks for rate snapshots, CityRating and FBI UCR for multi-year trends, SpotCrime and Patch for recent incidents, and the state DOJ open-data CSVs for agency-level data.
| Intent | Trigger | File |
|---|---|---|
| QuickStats | "crime stats", "how safe is", "crime rate for" | Intents/QuickStats.md |
| TrendAnalysis | "crime trends", "getting worse", "increasing crime" | Intents/TrendAnalysis.md |
| IncidentReport | "recent incidents", "what happened", "police reports this week" | Intents/IncidentReport.md |
| CompareRegion | "compare", "vs", "safer than", "how does X compare" | Intents/CompareRegion.md |
| File | Read when |
|---|---|
DataSources.md | choosing or calling a source: URL patterns, the police-portal access patterns by type (CitizenRIMS, Socrata, ArcGIS, map-only), FBI and state DOJ access, the dated national averages |
Setup.md | first-time setup: filling Config.md, finding the police portal type, the optional FBI API key, a proof command |
All city-specific values (default city, county, state, ZIP, neighboring cities, the local police portal URL, and the concrete per-city source URLs) live in the principal's own config, not in this skill. First-time setup and a proof command: Setup.md.
<configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/CrimeStats/Config.md
configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude.
Default city: when no city is specified, use default_city (with its state, ZIP, and population) from Config.md. If Config.md is absent or default_city is unset, ask which city and state to use, and point at Setup.md so the answer can become the default; never guess a city. Load Config.md for the local police portal, neighboring cities, and city-resolved source URLs whenever an intent needs them. Skill files stay generic and describe the procedure against "the configured city."
Neighboring cities for comparison: the neighboring_cities list in Config.md (or, for any other target city, geographically adjacent cities of similar size).
Historical data persists at: ~/.claude/LIFEOS/MEMORY/DATA/CrimeStats/. The directory does not exist on a fresh install, so every intent runs mkdir -p ~/.claude/LIFEOS/MEMORY/DATA/CrimeStats before its first write.
File naming: YYYY-MM-DD_{city}_{state}_{intent}.json
Example: 2026-03-22_springfield_xx_quickstats.json
toDateString() form with the correct weekday ("Tue Mar 24 2026") and returns 500 on a wrong one; generate the string, never type it (DataSources.md Tier 0). Socrata and ArcGIS take ISO timestamps.population in Config.md or the census figure for a named city) a handful of incidents moves the rate noticeably. Always show absolute numbers alongside per-100K rates.Example 1: Quick city snapshot
User: "What are the crime stats for my city?" (or a named city + state)
-> QuickStats intent (default city from Config.md if none named)
-> Rates per 100K, % vs national and YoY change for each category, a safety grade and a one-line takeaway, sources cited
Example 2: Trend analysis
User: "Is violent crime going up here?"
-> TrendAnalysis intent
-> YoY table against neighboring cities, the state and the nation, plus a multi-year table when the data exists and 3-5 key findings
Example 3: Recent incidents
User: "What crimes were reported in my city this week?"
-> IncidentReport intent
-> Incident list with dates, locations, types, a count summary and any patterns
Example 4: Regional comparison
User: "How does my city compare to the neighboring one for crime?"
-> CompareRegion intent (neighbors from Config.md)
-> Side-by-side table of every metric with the national baseline, YoY trends, victimization risk, and the safest city named
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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。