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
用 DA 的 Fish Audio 语音朗读文章、文件、粘贴的文字或智能体刚写的回复。连续播放可在数秒内开始,并支持暂停、继续、停止和查询状态。
Reads content aloud in the DA's Fish Audio voice (an article, a file, pasted text, or what the DA just wrote) as one continuous read that starts within seconds and can be paused or stopped. USE WHEN read it to me, read this to me, read that aloud, read it, ri, /ri, play this, say this out loud, listen to this, read the article, read your write-up, stop reading, pause the read, resume the read. NOT FOR spoken tutorials (Teach), narrated video essays (the video-essay skill), one-line status notifications (the voice endpoint), or the phone and text lines.
实测评分 未实测
查看安装方法ReadIt 使用 DA 的 Fish Audio 语音朗读文章、文件、粘贴的文字,或智能体刚刚写出的回复。对于较长的内容,首段音频准备好后,通常数秒内就会开始播放;其余部分会在播放过程中继续合成。它会按原文朗读,不会把内容改成摘要。播放期间可以暂停、继续或停止,也可以查询当前朗读状态。开始新的朗读时,之前正在播放的内容会停止。
不想一直看屏幕、希望听文章或智能体回复时,可以使用此技能。在出行或做其他事情时通过听觉确认文字内容也很方便。长篇朗读需要中途暂停或继续时,可使用相应的播放控制。此技能不用于口语课程、视频文章旁白或简短通知音频。
首次使用需要 Fish Audio 账户、API 密钥和语音配置。播放使用 macOS 的 afplay。在无头环境或无法获取终端身份信息时,不会进行朗读。
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。
One command turns content into the DA's voice reading it. The read starts within a few seconds regardless of length: the first chunk synthesizes, a detached player starts, and the rest synthesizes while earlier chunks play. stop, pause, resume, and status act on the running read.
| Intent | Trigger | File |
|---|---|---|
| Read | "read it to me", "ri", "/ri", "read this", "read your write-up", a URL or file to read | Intents/Read.md |
| Control | "stop", "pause", "resume", "where are you in the read" | Intents/Read.md § Control |
| File | Read when |
|---|---|
Setup.md | first-time setup: the Fish Audio account and key, the voice profile, and a read-only check |
bun ~/.claude/skills/ReadIt/Tools/ReadIt.ts read --file <path> [--title "<title>"] [--voice <profile>]
bun ~/.claude/skills/ReadIt/Tools/ReadIt.ts read --text "<short text>"
bun ~/.claude/skills/ReadIt/Tools/ReadIt.ts stop | pause | resume | status
LIFEOS_CONFIG.toml [da.voices.reader] when it has a fish_reference_id, else [da.voices.main]. --voice <name> picks any [da.voices.<name>] profile that has a fish_reference_id; --voice principal uses the voice id in FISH_PRINCIPAL_VOICE_ID. Speech goes through LIFEOS/TOOLS/FishTTS.ts (Fish Audio, Drama 3 model).FISH_API_KEY in the env file. Never printed, never in a URL.LIFEOS/USER/PRINCIPAL/PRONUNCIATIONS.json, through the one LifeOS pass (LIFEOS/TOOLS/Pronounce.ts) that FishTTS runs on every chunk, homographs like "live" included.~/Library/Caches/LifeOS/ReadIt/<run>/ (tmpdir on other platforms). Playback is macOS afplay.LIFEOS_NOTIFICATION_CHANNEL=headless, or no terminal identity) prints skipped: headless and exits 0. Scheduled jobs never speak.User customizations live at <configRoot>/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/ReadIt/ (configRoot is $CLAUDE_CONFIG_DIR when set, else ~/.claude). When it exists, its PREFERENCES.md, configurations and resources override the defaults; otherwise the defaults stand.
First-time setup (the Fish Audio key and voice, macOS playback) is in Setup.md.
/notify voice line. The read itself is the voice; a notification would queue in front of it and delay the start.read stops the running one. There is no queue.fish_speed (0.5 to 2.0), sent to Fish as prosody speed. Unset means 1.0. Fish accepts at most 2,500 characters per request, which is why chunks stay under 2,400. Drama 3 tags such as [sigh] and <emphasis> pass through to the voice.bun test from the repo root can fail with EMFILE. In the source tree, run this skill's test path instead: bun test ./skills/ReadIt/Tools/ReadIt.test.ts. Tests do not ship in the public release.Example 1: read what I just wrote
User: "ri" (after the DA produced a write-up)
→ Read intent: authors a spoken script from the write-up (no tables, no URLs, no headers), writes it to a temp file
→ `ReadIt.ts read --file <tmp> --title "<subject>"`
→ Reply: title, chunk count, estimated minutes; audio is already playing
Example 2: read a URL
User: "/ri https://example.com/some-article"
→ Fetches the article, authors a spoken script of its prose, reads it
Example 3: control
User: "pause" / "ok keep going" / "stop reading"
→ `ReadIt.ts pause` / `resume` / `stop`
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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。