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
从六个已配置的信息源收集安全新闻、研究和观点,去重并按类别和重要程度排序,生成最多含32条内容的摘要。它会记录已展示的内容,后续更新可跳过旧话题。
Aggregates and curates security news from six authoritative sources into a ranked, deduplicated digest across Security News, Research, and Ideas, with stateful tracking to avoid re-surfacing seen items. USE WHEN security news, security updates, breaches, sec updates, tldrsec, Krebs, Schneier, weekly security digest, CISO strategy. NOT FOR stack-specific CVE prioritization against your own tech stack (use your own vulnerability-management tooling), or AI industry news (Upgrade NewsDigest).
实测评分 未实测
查看安装方法SecurityUpdates 从六个已配置的信息源收集安全新闻、研究和观点,将重复报道合并为最多含32条内容的摘要。内容按类别分组,并在各类别中按重要程度排序,同时标明来源。每次成功运行后,技能会把展示过的内容记录在状态文件中。之后运行时会依据这份记录筛除旧内容,方便查看新动态。你可以在设置中添加信息源,也可以指定希望重点关注的话题。
如果你想定期了解安全行业动态,或者不想逐一访问多个新闻网站,可以用它集中查看要点。按类别整理的内容也适合把新闻报道和新研究分开阅读。
你可以在设置中调整信息源和关注话题。此技能不用于结合你所在组织的具体技术栈判断 CVE 的优先级。
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。
Aggregates security news from six authoritative sources (§ Sources) into a ranked, deduplicated digest of up to 32 items across three categories: Security News, Security Research, and Security Ideas. A per-item record of what each run showed, kept in last-check.json by Tools/Digest.ts, avoids re-surfacing seen items, so a weekly run shows only what is new instead of the overlapping stories six sites publish on their own cadences.
MEMORY/STATE/SecurityUpdates-last-check.json after each successful run, and the next run's candidates are filtered against it by Tools/Digest.ts (Intents/Update.md § Tool contract).sources.json, swapped or extended through PREFERENCES.md.| Intent | Trigger | File |
|---|---|---|
| Update | "security updates", "sec updates", "/secupdates", "what's new in security" | Intents/Update.md |
Default: Run the Update intent.
| File | Read when |
|---|---|
Setup.md | first-time setup: the smallest working PREFERENCES.md, accounts (none) and the proof command |
Tools/Digest.help.md | the state filter, recorder and digest check the Update intent runs |
User customizations, read before each run:
<configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/SecurityUpdates/PREFERENCES.md
configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude.
If the file exists, apply it: it can add sources and say which topics to emphasise or drop, and it overrides default behavior (the 32-item cap and the three categories stay). If it does not exist, proceed with the six default sources; nothing here is required. Setup, a smallest working PREFERENCES.md and the proof command are in Setup.md. Run state is not config: it is written to MEMORY/STATE/SecurityUpdates-last-check.json (shape in Intents/Update.md § Tool contract).
sources.json in the skill root is the one list of the six default sources: id, name, URL, type, and the categories each one feeds.
Custom sources: list them under "Extra sources" in PREFERENCES.md (see Data & Config); sources.json in the skill root holds the six defaults and is overwritten by updates, so do not edit it.
"What's new in security?" → Update intent → a ranked ≤32-item digest of what is new across all six sources since ~/.claude/LIFEOS/MEMORY/STATE/SecurityUpdates-last-check.json was last written, and that state file updated for the next run.
"/secupdates" → same Update intent, slash-command entry.
Second run same day → only items whose keys are not already in the state file surface; an empty digest with "no new items since last check" is the correct result, not a failure.
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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。