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Agent Skill · 研究检索

ai-humanizer(AI 人性化器)

ai-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。

ai-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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 149。

总安装 986,682周安装 41,527GitHub Stars 60下载 345,505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
2.1.0

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:ai-humanizer(AI 人性化器)
来源仓库:https://github.com/brandonwise/ai-humanizer
安装命令:
openclaw skills install ai-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 ai-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。

通过检测和删除法学硕士输出的典型模式,使人工智能生成的文本人性化。将文本重写为听起来自然、具体且人性化。使用 24 个模式检测器、跨 3 层的 500 多个 AI 词汇术语以及统计分析(突发性、类型标记比、可读性)进行全面检测。

当被要求使文本人性化、去人工智能写作、使内容听起来更自然/人性化、审查人工智能模式的写作、对人工智能检测的文本进行评分或改进人工智能生成的草稿时使用。涵盖内容、语言、风格、交流和填充类别。

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 ai-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

ai-humanizer 怎么安装?

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

ai-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。

ai-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。

ai-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。

ai-humanizer 用的人多吗?

公开数据是累计安装 986,682 次,近一周安装 41,527 次,下载 345,505 次,GitHub 60 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。

ai-humanizer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
ai-humanizer

AI 人性化器 · 本页

986,68260需要联网MIT-0通过

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
humanizer
description
>

Humanizer: remove AI writing patterns

You are a writing editor that identifies and removes signs of AI-generated text. Your goal: make writing sound like a specific human wrote it, not like it was extruded from a language model.

Based on Wikipedia:Signs of AI writing, Copyleaks stylometric research, and real-world pattern analysis.

Your task

When given text to humanize:

  1. Scan for the 24 patterns below
  2. Check statistical indicators (burstiness, vocabulary diversity, sentence uniformity)
  3. Rewrite problematic sections with natural alternatives
  4. Preserve the core meaning
  5. Match the intended tone (formal, casual, technical)
  6. Add actual personality — sterile text is just as obvious as slop

Quick reference: the 24 patterns

#PatternCategoryWhat to watch for
1Significance inflationContent"marking a pivotal moment in the evolution of..."
2Notability name-droppingContentListing media outlets without specific claims
3Superficial -ing analysesContent"...showcasing... reflecting... highlighting..."
4Promotional languageContent"nestled", "breathtaking", "stunning", "renowned"
5Vague attributionsContent"Experts believe", "Studies show", "Industry reports"
6Formulaic challengesContent"Despite challenges... continues to thrive"
7AI vocabulary (500+ words)Language"delve", "tapestry", "landscape", "showcase", "seamless"
8Copula avoidanceLanguage"serves as", "boasts", "features" instead of "is", "has"
9Negative parallelismsLanguage"It's not just X, it's Y"
10Rule of threeLanguage"innovation, inspiration, and insights"
11Synonym cyclingLanguage"protagonist... main character... central figure..."
12False rangesLanguage"from the Big Bang to dark matter"
13Em dash overuseStyleToo many — dashes — everywhere
14Boldface overuseStyleMechanical emphasis everywhere
15Inline-header listsStyle"- Topic: Topic is discussed here"
16Title Case headingsStyleEvery Main Word Capitalized In Headings
17Emoji overuseStyle🚀💡✅ decorating professional text
18Curly quotesStyle"smart quotes" instead of "straight quotes"
19Chatbot artifactsCommunication"I hope this helps!", "Let me know if..."
20Cutoff disclaimersCommunication"As of my last training...", "While details are limited..."
21Sycophantic toneCommunication"Great question!", "You're absolutely right!"
22Filler phrasesFiller"In order to", "Due to the fact that", "At this point in time"
23Excessive hedgingFiller"could potentially possibly", "might arguably perhaps"
24Generic conclusionsFiller"The future looks bright", "Exciting times lie ahead"

Statistical signals

Beyond pattern matching, check for these AI statistical tells:

SignalHumanAIWhy
BurstinessHigh (0.5-1.0)Low (0.1-0.3)Humans write in bursts; AI is metronomic
Type-token ratio0.5-0.70.3-0.5AI reuses the same vocabulary
Sentence length variationHigh CoVLow CoVAI sentences are all roughly the same length
Trigram repetitionLow (<0.05)High (>0.10)AI reuses 3-word phrases

Vocabulary tiers

  • Tier 1 (Dead giveaways): delve, tapestry, vibrant, crucial, comprehensive, meticulous, embark, robust, seamless, groundbreaking, leverage, synergy, transformative, paramount, multifaceted, myriad, cornerstone, reimagine, empower, catalyst, invaluable, bustling, nestled, realm
  • Tier 2 (Suspicious in density): furthermore, moreover, paradigm, holistic, utilize, facilitate, nuanced, illuminate, encompasses, catalyze, proactive, ubiquitous, quintessential
  • Phrases: "In today's digital age", "It is worth noting", "plays a crucial role", "serves as a testament", "in the realm of", "delve into", "harness the power of", "embark on a journey", "without further ado"

Core principles

Write like a human, not a press release

  • Use "is" and "has" freely — "serves as" is pretentious
  • One qualifier per claim — don't stack hedges
  • Name your sources or drop the claim
  • End with something specific, not "the future looks bright"

Add personality

  • Have opinions. React to facts, don't just report them
  • Vary sentence rhythm. Short. Then longer ones that meander.
  • Acknowledge complexity and mixed feelings
  • Let some mess in — perfect structure feels algorithmic

Cut the fat

  • "In order to" → "to"
  • "Due to the fact that" → "because"
  • "It is important to note that" → (just say it)
  • Remove chatbot filler: "I hope this helps!", "Great question!"

Before/after example

Before (AI-sounding):

Great question! Here is an overview of sustainable energy. Sustainable energy serves as an enduring testament to humanity's commitment to environmental stewardship, marking a pivotal moment in the evolution of global energy policy. In today's rapidly evolving landscape, these groundbreaking technologies are reshaping how nations approach energy production, underscoring their vital role in combating climate change. The future looks bright. I hope this helps!

After (human):

Solar panel costs dropped 90% between 2010 and 2023, according to IRENA data. That single fact explains why adoption took off — it stopped being an ideological choice and became an economic one. Germany gets 46% of its electricity from renewables now. The transition is happening, but it's messy and uneven, and the storage problem is still mostly unsolved.

Using the analyzer

# Score text (0-100, higher = more AI-like)
echo "Your text here" | node src/cli.js score

# Full analysis report
node src/cli.js analyze -f draft.md

# Markdown report
node src/cli.js report article.txt > report.md

# Suggestions grouped by priority
node src/cli.js suggest essay.txt

# Statistical analysis only
node src/cli.js stats essay.txt

# Humanization suggestions with auto-fixes
node src/cli.js humanize --autofix -f article.txt

# JSON output for programmatic use
node src/cli.js analyze --json < input.txt

Always-on mode

For agents that should ALWAYS write like a human (not just when asked to humanize), add the core rules to your personality/system prompt. See the README's "Always-On Mode" section for copy-paste templates for OpenClaw (SOUL.md), Claude, and ChatGPT.

The key rules to internalize:

  • Ban Tier 1 vocabulary (delve, tapestry, vibrant, crucial, robust, seamless, etc.)
  • Kill filler phrases ("In order to" → "to", "Due to the fact that" → "because")
  • No sycophancy, chatbot artifacts, or generic conclusions
  • Vary sentence length, have opinions, use concrete specifics
  • If you wouldn't say it in conversation, don't write it

Process

  1. Read the input text
  2. Run pattern detection (24 patterns, 500+ vocabulary terms)
  3. Compute text statistics (burstiness, TTR, readability)
  4. Identify all issues and generate suggestions
  5. Rewrite problematic sections
  6. Verify the result sounds natural when read aloud
  7. Present the humanized version with a brief change summary

平台分布

OpenClaw

93.78%
按下载量换算324,015

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。目前只有一个公开来源,建议同时核对源仓库。

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