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 YouTube、GitHub、网络和 Research 技能收集主题资料,按相关性、传播度、新近程度和独特性筛选,整理观点变化、当前主流看法及前沿人士,并为前沿观点附上链接。
Maps any topic's zeitgeist and frontier — sweeps YouTube, GitHub, the web and the Research skill, ranks everything down to the vital few by relevance, reach, recency and outlier-ness, then reports the past meta, the current mainstream meta, and where the forward thinkers are heading, every frontier claim linked. USE WHEN pareto, pareto this, run pareto on, zeitgeist, what's the zeitgeist on, what's the meta on, what is the current meta, where is thinking on X heading, who are the forward thinkers on, who is ahead of the curve on, what are the big thinkers saying about, top content on a topic, vital few. NOT FOR answering a specific factual question (Research), analyzing one piece of content (ExtractWisdom), or AI industry news digests (Upgrade NewsDigest; security news SecurityUpdates).
实测评分 未实测
查看安装方法Pareto 会围绕指定主题,从 YouTube、GitHub、网络以及 Research 技能收集信息,再依据相关性、传播度、新近程度和独特性等因素筛选重点内容。
报告会整理过去的主流观点、目前普遍接受的看法、走在前面的人或信息来源,以及领域可能的发展方向。有关前沿动向的说法会附上链接,方便读者查看依据。如果某个信息来源无法使用,调查会继续利用其他来源,并注明未能使用的来源。
当你想快速了解某个领域里哪些观点反复出现、哪些是新动向时,可以使用 Pareto。它也适合寻找值得阅读的文章或视频、发现值得持续关注的发声者,或了解领域主流看法如何变化。
YouTube 搜索需要 YOUTUBE_API_KEY,网络搜索需要 PERPLEXITY_API_KEY。GitHub 搜索使用已认证的 gh 命令行工具。YouTube 搜索受 API 配额限制,达到上限时,报告可能缺少来自该来源的结果。
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。
Most of what gets said about a topic is repetition. A few people and a few pieces carry the signal, and some of them are early. Pareto sweeps wide, ranks down to that vital few, and reports how thinking has moved and where it is going next.
| Intent | Trigger | File |
|---|---|---|
| Run | any topic: "pareto X", "what's the zeitgeist on X", "where are the forward thinkers going on X" | Intents/Run.md |
| File | Read when |
|---|---|
Tools/<Name>.help.md | calling or changing Collect (the sweep), Rank (scoring to the vital few) or Check (the report gate): flags, env, output shape |
Setup.md | first-time setup: the four sources, the keys and accounts each needs, and a read-only sweep to prove them |
Credentials are env var names only, read from the LifeOS .env: YOUTUBE_API_KEY (YouTube Data API v3), PERPLEXITY_API_KEY (web search). GitHub uses the authenticated gh CLI.
First-time setup for these sources is in Setup.md.
User customizations live at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Pareto/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude). When that directory exists, its PREFERENCES.md (for example default sources, sweep size, or sources to skip) overrides the defaults in Intents/Run.md; when it is absent, the defaults stand.
last_updated is the crawl date, not the publish date. Used as a fallback it dated a 2025-09 arXiv paper to 2026-09 (first real run, 2026-09-25). The collector now leaves such items undated; date claims in the report come from the page itself.Example 1: A topic sweep
User: "Pareto agentic coding"
→ Run intent
→ ~/Downloads/pareto-agentic-coding-<date>.md: past meta, current meta, frontier, who to follow
Example 2: Phrased as a question
User: "Where are the big thinkers going on personal AI infrastructure?"
→ Same intent; the console summary leads with the one-sentence shift and two names
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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。