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
将视频、文章、文件或提供的文本改写为第一人称说明,可选择三段叙事、附来源链接的版本、短摘要或编号要点。
Generates narrative explanations in the user's first-person voice, from 3-part narrative to CSE numbered points, each a standalone social-ready thought. USE WHEN story explanation, narrative summary, CSE, CSE5, tell as story, explain as a story, create a narrative, story format, summarize as story, explain in my voice, with links, with citations, abridged, explain this YouTube, explain this article. NOT FOR multi-source research (Research), writing original social posts or blog drafts, wisdom extraction (ExtractWisdom).
实测评分 未实测
查看安装方法StoryExplanation可根据YouTube视频、网页文章、文件、粘贴的文本或当前对话内容,生成以用户第一人称口吻撰写的说明。可以选择三段式叙事、附来源链接和引用的版本、简短摘要,或编号的CSE、CSE5要点。每个要点都能独立表达完整意思,便于单独用于社交媒体等场合。技能还会检查结果是否符合指定格式和行数。
想用自己的话说明视频或文章、简明分享内容、附上来源链接,或把资料拆成彼此独立的要点时,可以使用它。它不用于跨多个来源进行广泛调查,也不负责创作全新的社交媒体帖子或博客草稿。
从网址获取内容时,YouTube视频使用fabric -y,其他网页使用fabric -u。如果没有用于设定用户口吻的文件,技能会采用通用的第一人称和平实文风。
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。
Turns any source (a YouTube video, a URL, a file, pasted text, or "this" for the current conversation) into a narrative explanation in the user's own first-person voice. It explores 5-7 framings, picks the strongest, and outputs in the format you ask for: a 3-part narrative, a links version with inline citations, a 5-line abridged version, or a numbered CSE/CSE5. Each point stands alone, so any one can be lifted straight to social media.
Every intent reads the source the same way. A YouTube URL (contains "youtube.com" or "youtu.be") is fetched with fabric -y <URL>, any other URL (starts with http:// or https://) with fabric -u <URL>, a file path by reading the file, pasted text as given, and previous output or "this" from the conversation.
Every format has a deterministic check. bun skills/StoryExplanation/Tools/CheckFormat.ts --format <format> [--lines N] [--words N] reads the output from stdin or --file, exits 0 when it conforms and 1 with one violation per line when it does not; flags and per-format checks are in Tools/CheckFormat.help.md. It checks counts, numbering, headers, bullets, labels, periods, link placement and the default cliche list, never voice or fidelity.
| Intent | --format | Other flags |
|---|---|---|
| Create | create | none |
| CreateWithLinks | links | --lines N when the request named a length |
| CreateAbridged | abridged | none |
| Cse | cse | --lines N, and --words N when the request named a word count |
| Cse5 | cse5 | none |
fabric -y, a web page through fabric -u, a file, pasted text or the conversation), and nothing in the explanation goes beyond it.Tools/CheckFormat.ts exits 0 on it), and each point or sentence is a complete thought that lifts to social media unedited.| Intent | Trigger | File |
|---|---|---|
| Create | "story explanation", default | Intents/Create.md |
| CreateWithLinks | "with links", "with sources" | Intents/CreateWithLinks.md |
| CreateAbridged | "abridged", "5-12 words per line" | Intents/CreateAbridged.md |
| Cse | "CSE", "comprehensive", /cse; where an install adds line-count shortcut commands, they call this intent with that line count | Intents/Cse.md |
| Cse5 | "CSE5", "5 lines", /cse5 | Intents/Cse5.md |
| File | Read when |
|---|---|
VoiceStyleGuide.md | how the user's voice is applied, cliches to avoid |
NarrativeFraming.md | Framing selection rule + angle palette |
OutputFormats.md | choosing between the formats |
Patterns/ | the Create intent's 3-part narrative prompt (Patterns/create_story_explanation/system.md) |
Setup.md | first-time setup of Config.md and the voice file |
Tools/ | checking an output against its format (CheckFormat.ts; flags in CheckFormat.help.md) |
EvalState.md | the storyexplanation-cse eval scores (machine-owned by skills/Assay/Tools/EvalState.ts, never hand-edited) |
The user's voice and optional integrations live in LIFEOS/USER/CUSTOMIZATIONS/SKILLS/StoryExplanation/Config.md; first-time setup is in Setup.md. It names the voice file to write from, voice notes, an optional opinion-lookup command, an optional directory for saved explanations, and an optional explainer MCP tool. Read it before writing. The voice file it names is the canon for prose written as the user. When it is missing, say so once, point the user at Setup.md, and carry on with the generic defaults (first person, plain and conversational, no opinion lookup, nothing saved, the embedded prompt in Intents/Cse.md as the explainer); never borrow another person's voice.
fabric -u, never WebFetch.Example 1: YouTube video story explanation
User: "create a story explanation for this video" [YouTube URL]
-> Invokes Create intent
-> Extracts transcript with fabric -y
-> Returns 3-part narrative (opening/body/closing) in the user's voice
Example 2: Story with inline links
User: "story explanation with links for this article"
-> Invokes CreateWithLinks intent
-> Returns 25-sentence narrative with inline source citations
Example 3: Abridged 5-line summary
User: "give me an abridged 5-line summary of this" [URL]
-> Invokes CreateAbridged intent
-> Returns ultra-concise 5 lines (5-12 words each)
Example 4: CSE with custom line count
User: "/cse 12 leaky abstraction"
-> Invokes Cse intent
-> Returns 12-line numbered story explanation
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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。