Transform AI-generated text into authentic human writing. Detects and eliminates AI tells across 24 content/language/style/communication patterns, 500+ AI vo...
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install operator-humanizer或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install operator-humanizer⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/operator-humanizer/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: operator-humanizer description: Transform AI-generated text into authentic human writing. Detects and eliminates AI tells across 24 content/language/style/communication patterns, 500+ AI vocabulary terms, and structural clichés (binary contrasts, negative listings, false agency, dramatic fragmentation, narrator-from-a-distance). Analyzes statistical signals (burstiness, vocabulary diversity, sentence uniformity). Injects personality through parenthetical asides, tangents, rhythm variation, and strategic specificity. Use when humanizing content, checking for AI tells, removing robotic patterns, making text sound less polished, or writing like a specific person. Works on social posts, articles, emails, marketing copy, newsletters, scripts, or any text that needs to sound like a real human wrote it. ---
Eliminate AI tells. Inject authentic voice. Make it sound like a person wrote it.
Two systems, combined:
Together they catch what the other misses. Pattern detection handles vocabulary and content signals. Stop-slop handles structure and rhythm.
Reference files:
references/patterns.md — The 24 AI patterns with before/after examplesreferences/phrases.md — Banned phrases and structural clichésreferences/structures.md — Structural patterns to avoidreferences/vocabulary.md — 500+ AI vocabulary terms by severity tierreferences/statistical-signals.md — Burstiness, TTR, sentence variance formulasreferences/personality-injection.md — How to add human touchesreferences/examples.md — Before/after transformationsreferences/patterns.md (inflation, jargon, promotional language, vague attributions)references/vocabulary.md)references/phrases.md)references/structures.md)references/personality-injection.md)Throat-clearing openers — "Here's the thing:", "It turns out", "The uncomfortable truth is", "Let me be clear"
Emphasis crutches — "Full stop.", "Let that sink in.", "Make no mistake", "This matters because"
Chatbot artifacts — "Great question!", "I hope this helps!", "Let me know if...", "Certainly!", "Of course!"
Binary contrasts — "Not X, but Y", "It's not X, it's Y", "The answer isn't X, it's Y" → Just say Y.
Negative listings — "Not a X... Not a Y... A Z." → Just say Z.
Generic conclusions — "The future looks bright", "Exciting times lie ahead", "This represents a major step"
Tier 1 (dead giveaways — never use): delve, tapestry, vibrant, crucial, comprehensive, meticulous, embark, robust, seamless, groundbreaking, leverage, synergy, transformative, paramount, multifaceted, myriad, cornerstone, reimagine, empower, catalyst, invaluable, bustling, nestled, realm, showcasing, underscores, testament, pivotal, enduring, landscape (abstract), journey (metaphorical)
Tier 2 (suspicious — use sparingly): furthermore, moreover, paradigm, holistic, utilize, facilitate, nuanced, illuminate, encompasses, proactive, ubiquitous, quintessential
Tier 3 (watch density): ecosystem, framework, roadmap, touchpoint, pain point, streamline, optimize, scalable
Full list: references/vocabulary.md
| # | Pattern | Signal | |---|---------|--------| | 1 | Significance inflation | "marking a pivotal moment in the evolution of..." | | 2 | Notability name-dropping | Media outlets listed without specific claims | | 3 | Superficial -ing analyses | "showcasing... reflecting... highlighting..." | | 4 | Promotional language | "nestled", "breathtaking", "stunning", "renowned" | | 5 | Vague attributions | "Experts believe", "Studies show", "Industry reports" | | 6 | Challenges/Future Prospects | "Despite challenges... continues to thrive" | | 7 | AI vocabulary | "delve", "tapestry", "landscape", "showcase" | | 8 | Copula avoidance | "serves as", "boasts" instead of "is", "has" | | 9 | Negative parallelisms | "It's not just X, it's Y" | | 10 | Rule of three | "innovation, inspiration, and insights" | | 11 | Synonym cycling | protagonist / main character / central figure | | 12 | False ranges | "from the Big Bang to dark matter" | | 13 | Em dash overuse | Too many — dashes — everywhere | | 14 | Boldface overuse | Mechanical emphasis everywhere | | 15 | Inline-header lists | "- Topic: Topic is discussed here" | | 16 | Title Case headings | Every Main Word Capitalized | | 17 | Emoji overuse | 🚀💡✅ decorating professional text | | 18 | Curly quotes | "smart quotes" instead of "straight quotes" | | 19 | Chatbot artifacts | "I hope this helps!", "Let me know if..." | | 20 | Cutoff disclaimers | "As of my last training...", "While details are limited..." | | 21 | Sycophantic tone | "Great question!", "You're absolutely right!" | | 22 | Filler phrases | "In order to", "Due to the fact that" | | 23 | Excessive hedging | "could potentially possibly", "might arguably" | | 24 | Generic conclusions | "The future looks bright", "Exciting times lie ahead" |
Full details with examples: references/patterns.md
These live in references/structures.md. Check them alongside the 24 patterns.
Binary contrasts — Any "not X but Y" construction. Just say Y.
Negative listings — Building up through negation before revealing the point. Start with the point.
Dramatic fragmentation — "Speed. Quality. Cost." stacked for manufactured profundity. Use real sentences.
Rhetorical setups — "What if I told you...", "Think about it:", "Here's what I mean:". Just make the point.
False agency — Inanimate things doing human actions. "The complaint becomes a fix" → "They fixed it that week."
Narrator-from-a-distance — "Nobody designed this", "People tend to..." → Put the reader in the room. Use "you".
Passive voice — Always find the actor. Put them at the front.
Rate 1-10 on each dimension:
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安装 Operator Humanizer 后,可以对 AI 说这些话来触发它
Help me get started with Operator Humanizer
Explains what Operator Humanizer does, walks through the setup, and runs a quick demo based on your current project
Use Operator Humanizer to transform AI-generated text into authentic human writing
Invokes Operator Humanizer with the right parameters and returns the result directly in the conversation
What can I do with Operator Humanizer in my design & creative workflow?
Lists the top use cases for Operator Humanizer, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/operator-humanizer/ 目录(个人级,所有项目可用),或 .claude/skills/operator-humanizer/(项目级)。重启 AI 客户端后,用 /operator-humanizer 主动调用,或让 AI 根据上下文自动发现并使用。
Operator Humanizer 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Operator Humanizer 可免费安装使用。请查阅仓库了解许可证信息。
Transform AI-generated text into authentic human writing. Detects and eliminates AI tells across 24 content/language/style/communication patterns, 500+ AI vo...
Operator Humanizer 属于「Design & Creative」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my design & creative tasks using Operator Humanizer
Identifies repetitive steps in your workflow and sets up Operator Humanizer to handle them automatically