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
将录音转写、口述笔记或零散口语整理成文章,并参照已配置的个人文风资料进行撰写和修改;还可检查已确认的人工智能式表达,并附说明报告 Pangram 分数。
Authors and assembles prose from the principal's material, audits AI patterns, and scores with Pangram. USE WHEN assemble a transcript, shape dictated notes, organize rough spoken material, write as me, write in my voice, sound like me, this does not sound like me, fix the voice, remove AI-isms, audit writing, clean up AI writing, check for AI patterns, sound less like AI, show me the draft, preview the article, open the draft properly. NOT FOR detection only (DetectAI), fiction (WriteStory), placing a finished blog post, or writing social posts.
实测评分 未实测
查看安装方法此技能会把录音转写、口述笔记和零散的口语内容整理成通顺文字,同时保留原意和事实。它也能参照已配置的文风模型和风格指南,撰写或修改较长的文章。检查人工智能式表达时,它会指出已确认的问题,只做必要的少量修改,然后再次检查。按需还可获取 Pangram 分数,并连同相关说明作为参考信息报告,不把分数当作结论。
想把录音转写整理成文章草稿、让口述笔记更易读,或按照某个人的文风修改稿件时,可以使用此技能。它也适合检查文字中是否有听起来像人工智能生成的表达。
按某个人的文风撰写需要预先配置文风资料和风格指南。获取 Pangram 分数需要 PANGRAM_API_KEY。如果缺少所需配置或密钥,会将检查标记为未执行。
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。
Author and revise prose in the principal's voice, audit confirmed AI-writing patterns, and report Pangram scores. The voice itself is data the install supplies: a measured corpus model under the configured voice directory, plus the style guide at LIFEOS/USER/PRINCIPAL/WRITINGSTYLE.md. The skill holds the tools that measure, gate and judge against it.
VoiceGate.ts and VoiceJudge.ts without being degraded to pass; stripping AI-isms alone never counts as done.PangramScore.ts run and is reported as a signal with its caveats, never as a pass/fail gate.| Intent | Trigger | File | Bundle |
|---|---|---|---|
| Rewrite (default) | "deai this", "remove AI-isms", "clean up AI writing", "make this sound less like AI", "sound more human", "writing check" | Intents/Rewrite.md | rewrite |
| Detect | "detect", "flag only", "audit only", "just flag", "scan for AI", "detect AI tells", "detect mode" | Intents/Detect.md | detect |
| ScoreAI | "score AI", "test for AI writing", "how AI does this read", "AI detection score", "pangram", "is this AI-detectable" | Intents/ScoreAI.md | score |
| WriteAsPrincipal | "write as me", "write this in my voice", "sound like me", "make it sound like I wrote it", "this doesn't sound like me", "fix the voice", long-form authoring or repair in the principal's voice | Intents/WriteAsPrincipal.md | principal |
| Assemble | "assemble this transcript", "shape these dictated notes", "organize this rough spoken material", "turn this stream of consciousness into prose" | Intents/Assemble.md | assemble |
| Preview | "show me the draft", "preview the article", "open the draft properly", let me see it properly | Intents/Preview.md | preview |
Uncertain routing, or a request that needs every legacy instruction, loads the full bundle (the complete guide and every intent file). Standalone detection with no rewrite intent routes to the public DetectAI skill instead; ScoreAI stays here because the publication audit runs it inline.
| File | Read when |
|---|---|
References/CompleteGuide.md | the patterns and voice references Rewrite and Detect audit against, the voice config and tool tables, the hard formatting rules, and the skill's gotchas and examples (the bundles load its sections) |
Setup.md | configuring the voice model for an install: config keys, voice_dir files, secrets, a proof run |
EvalState.md | checking the voice-principal suite's current scores; Assay writes it into your install after the first suite run, so it is absent from a fresh copy |
Tools/ | WritingConfig.ts flags (WritingConfig.help.md); the voice tools are described in References/CompleteGuide.md § Tools |
Before executing, load the matching bundle with the deterministic loader:
bun "${CLAUDE_CONFIG_DIR:-$HOME/.claude}/LIFEOS/TOOLS/ContextLoad.ts" Writing load BUNDLE
It returns the selected instructions, their mandatory dependencies and source hashes; follow every returned requirement. Required external references and audits still apply. Skill-local paths resolve from the skill root, LIFEOS/ paths from the install root. An unchanged section already in context needs no second read; after compaction or a source change, reload the relevant bundle.
For bundle reads, set the shell tool output budget to 30000 tokens, and a code-mode wrapper's output budget to 30000 too. A truncation warning anywhere, not only at the END CONTEXTLOAD marker, means the load did not succeed.
list shows sections and bundles; search "query" searches the preserved guide. A failed search does not establish absence: inspect the index, broaden the query, or load full. If the loader fails, read References/CompleteGuide.md and every relevant intent file directly. Never proceed on a partial load.
The skill config is LIFEOS/USER/CUSTOMIZATIONS/SKILLS/Writing/Config.md. It names the voice directory (voice_dir, holding Corpus.md, Exemplars.md, PostExemplars.md, VoiceProfile.md, VoiceProfile.json), an optional published-content index (corpus_cli), the preview browser, and the few example phrases the gate and judge quote. With no config, VoiceGate.ts and VoiceJudge.ts stop with exit 2 and point at the guide. First-time set-up, field tables and a proof run: Setup.md. The full key and file tables are in References/CompleteGuide.md § Data & Config, loaded by the principal bundle. bun Tools/WritingConfig.ts status reports what is configured.
The env key is PANGRAM_API_KEY (ScoreAI only).
The skill's gotchas live in References/CompleteGuide.md § Gotchas, a required section in Context.json that every bundle loads.
User: "deai this draft"
→ Rewrite (rewrite bundle)
→ Profile named, findings listed, a minimal-diff rewrite and a clean second-pass audit
User: "write the intro to this post as me"
→ WriteAsPrincipal (principal bundle)
→ A draft anchored in the principal's published position, with VoiceGate and VoiceJudge exit codes and a reported Pangram score
More worked examples live in References/CompleteGuide.md § Examples, loaded by the full bundle.
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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。