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Agent Skill · 研究检索

operator-humanizer(操作员人性化)

operator-humanizer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

operator-humanizer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 3,306。

总安装 45,680周安装 1,866GitHub Stars 4下载 14,779核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:operator-humanizer(操作员人性化)
来源仓库:https://github.com/kevjade/operator-humanizer
安装命令:
openclaw skills install operator-humanizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install operator-humanizer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

将人工智能生成的文本转换为真实的人类书写。检测并消除 24 种内容/语言/风格/沟通模式、500 多个 AI 语音中的 AI 暗示

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install operator-humanizer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

operator-humanizer 怎么安装?

在终端执行 openclaw skills install operator-humanizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

operator-humanizer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

operator-humanizer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

operator-humanizer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

operator-humanizer 用的人多吗?

公开数据是累计安装 45,680 次,近一周安装 1,866 次,下载 14,779 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

operator-humanizer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
operator-humanizer

操作员人性化 · 本页

45,6804需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

Operator Humanizer

Eliminate AI tells. Inject authentic voice. Make it sound like a person wrote it.

What This Skill Does

Two systems, combined:

  1. Pattern Detection — 24 AI patterns, 500+ vocabulary terms, statistical signals
  2. Stop-Slop Rules — structural clichés, phrase bans, sentence-level mechanics

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 examples
  • references/phrases.md — Banned phrases and structural clichés
  • references/structures.md — Structural patterns to avoid
  • references/vocabulary.md — 500+ AI vocabulary terms by severity tier
  • references/statistical-signals.md — Burstiness, TTR, sentence variance formulas
  • references/personality-injection.md — How to add human touches
  • references/examples.md — Before/after transformations

Quick Start

  1. Scan content patterns → Check patterns 1-6 in references/patterns.md (inflation, jargon, promotional language, vague attributions)
  2. Flag vocabulary → Tier 1 = ban completely, Tier 2 = use sparingly, Tier 3 = watch density (references/vocabulary.md)
  3. Check phrases → Remove all throat-clearing openers, emphasis crutches, adverbs (references/phrases.md)
  4. Break structures → Destroy binary contrasts, negative listings, false agency (references/structures.md)
  5. Check style patterns → Em dashes, bold overuse, emoji, passive voice (patterns 13-18)
  6. Remove communication artifacts → Chatbot openers, sycophancy, cutoff disclaimers (patterns 19-21)
  7. Fix filler and hedging → Stacked qualifiers, generic conclusions (patterns 22-24)
  8. Add personality → Parentheticals, tangents, rhythm variation (references/personality-injection.md)
  9. Verify → Read aloud. Does it sound like a human?

Core Rules (Always On)

Cut These Immediately

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"

Vocabulary Bans

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

Mechanics

  • No em dashes — ever. Use commas, periods, or restructure.
  • No passive voice — find the actor, make them the subject.
  • No adverbs — kill all -ly words (really, just, literally, genuinely, honestly, simply, actually, deeply, truly, fundamentally).
  • No Wh- sentence starters — "What makes this hard is..." → "The constraint is..."
  • No inanimate subjects doing human things — "The decision emerged" → "Sarah decided"
  • No Rule of Three — two items beat three. One beats two.
  • Active voice — always. Someone does something.
  • Vary rhythm — short sentences mix with longer ones. End paragraphs differently. No staccato fragmentation for fake drama.
  • Use contractions — don't, won't, it's, can't.
  • Use "is" and "has" — not "serves as", "boasts", "features", "represents".
  • Be specific — no vague declaratives ("The reasons are structural"). Name the specific thing.

The 24 Patterns (Quick Reference)

#PatternSignal
1Significance inflation"marking a pivotal moment in the evolution of..."
2Notability name-droppingMedia outlets listed without specific claims
3Superficial -ing analyses"showcasing... reflecting... highlighting..."
4Promotional language"nestled", "breathtaking", "stunning", "renowned"
5Vague attributions"Experts believe", "Studies show", "Industry reports"
6Challenges/Future Prospects"Despite challenges... continues to thrive"
7AI vocabulary"delve", "tapestry", "landscape", "showcase"
8Copula avoidance"serves as", "boasts" instead of "is", "has"
9Negative parallelisms"It's not just X, it's Y"
10Rule of three"innovation, inspiration, and insights"
11Synonym cyclingprotagonist / main character / central figure
12False ranges"from the Big Bang to dark matter"
13Em dash overuseToo many — dashes — everywhere
14Boldface overuseMechanical emphasis everywhere
15Inline-header lists"- Topic: Topic is discussed here"
16Title Case headingsEvery Main Word Capitalized
17Emoji overuse🚀💡✅ decorating professional text
18Curly quotes"smart quotes" instead of "straight quotes"
19Chatbot artifacts"I hope this helps!", "Let me know if..."
20Cutoff disclaimers"As of my last training...", "While details are limited..."
21Sycophantic tone"Great question!", "You're absolutely right!"
22Filler phrases"In order to", "Due to the fact that"
23Excessive hedging"could potentially possibly", "might arguably"
24Generic conclusions"The future looks bright", "Exciting times lie ahead"

Full details with examples: references/patterns.md

Structural Clichés (Stop-Slop Layer)

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.

Scoring

Rate 1-10 on each dimension:

DimensionQuestion
DirectnessStatements or announcements?
RhythmVaried or metronomic?
TrustRespects reader intelligence?
AuthenticitySounds human?
DensityAnything cuttable?

Below 35/50: revise.

If 5+ of the 24 patterns are present: very likely AI-generated. If 10+ patterns: almost certainly AI-generated.

Adding Personality

Use references/personality-injection.md for the full guide. Quick version:

  • Parenthetical asides — (honestly, this part gets me every time) — 1-3 per 500 words max
  • Tangents — "Speaking of which...", "That reminds me..." — 1-2 per 1000+ word piece
  • Random thoughts — "I keep coming back to this:", "Honestly didn't think this would work but..."
  • Opinions — React to facts. Don't just report them.
  • Acknowledge complexity — "I genuinely don't know how to feel about this"
  • Let mess in — Perfect structure feels algorithmic

Pre-Delivery Checklist

Before handing over any draft:

  • Any adverbs? Kill them.
  • Passive voice? Find the actor, make them the subject.
  • Inanimate thing doing a human verb? Name the person.
  • Sentence starts with Wh- word? Restructure.
  • "Here's what/this/that" construction? Cut to the point.
  • "Not X, it's Y" contrast? State Y directly.
  • Three consecutive sentences match in length? Break one.
  • Paragraph ends with punchy one-liner? Vary it.
  • Em dash anywhere? Remove it.
  • Vague declarative ("The implications are significant")? Name the specific implication.
  • Narrator-from-a-distance? Put the reader in the scene.
  • Meta-joiners ("The rest of this essay...")? Delete. Let it move.
  • Tier 1 vocabulary word? Remove.
  • Chatbot artifact? Remove.
  • Generic conclusion? Replace with one specific fact.

Filler Replacements (Fast Reference)

BeforeAfter
In order to achieve thisTo achieve this
Due to the fact thatBecause
At this point in timeNow
In the event thatIf
Has the ability toCan
It is important to note that(just say it)
For the purpose ofTo
In spite of the fact thatAlthough
Moving forwardNext / From now
Navigate (challenges)Handle, address
Lean intoAccept, embrace
Deep diveAnalysis, examination
Take a step backReconsider
Circle backReturn to
Game-changerSignificant, important

Troubleshooting

Still sounds robotic after fixing patterns? You removed AI tells but didn't add personality. Read references/personality-injection.md.

Too casual after humanization? Match personality injection to context. Fewer asides/tangents in formal writing.

Too perfect? Add imperfection: vary sentence length, include a tangent, acknowledge uncertainty, drop a specific detail that feels slightly off-script.

Word feels suspicious but not on the list? Ask: "Would I say this in conversation?" If no, cut it or simplify.

平台分布

OpenClaw

88.02%
按下载量换算13,008

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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