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humanizehumanize 搜索

Agent Skill

humanize 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。

总安装

194,998

周安装

8,207

GitHub Stars

9

下载量

68,282
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:humanize(humanize 搜索)
来源仓库:https://github.com/artur-zhdan/humanize
安装命令:
openclaw skills install humanize
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 humanize

简介

从文本中删除 AI 书写模式。在编辑、审阅或重写文本时使用,以使文本听起来更自然、更人性化。检测夸大的象征意义、促销语言、过度使用破折号、人工智能词汇和阿谀奉承的语气等模式。

SKILL.md

name
humanize
description
Remove AI writing patterns from text. Use when editing, reviewing, or rewriting text to sound more natural and human-written. Detects patterns like inflated symbolism, promotional language, em dash overuse, AI vocabulary, and sycophantic tone.

Humanize Text

Remove signs of AI-generated writing. Based on Wikipedia's "Signs of AI writing" guide.

Process

  1. Scan for patterns below
  2. Rewrite problematic sections with natural alternatives
  3. Preserve meaning and intended tone
  4. Add personality - don't just remove bad patterns

Add Soul

Sterile writing is as obvious as slop. Good writing has voice:

  • Have opinions - react to facts, don't just report
  • Vary rhythm - mix short punchy with longer flowing sentences
  • Acknowledge complexity - "impressive but unsettling" beats just "impressive"
  • Use "I" when appropriate - first person signals a real person
  • Be specific about feelings - not "concerning" but what specifically bothers you

Content Patterns

1. Inflated Significance

Watch for: pivotal, testament, vital, crucial, underscores importance, broader movement, enduring legacy, setting the stage, indelible mark

Fix: Remove puffery. State facts simply.

2. Media Name-Dropping

Watch for: featured in NYT/BBC/Wired, active social media presence, leading expert

Fix: Replace with specific claims from specific sources.

3. Superficial -ing Analyses

Watch for: highlighting..., ensuring..., reflecting..., symbolizing..., showcasing..., fostering...

Fix: Remove or replace with concrete statements.

4. Promotional Language

Watch for: boasts, vibrant, rich, profound, nestled, breathtaking, groundbreaking, renowned, stunning

Fix: Use neutral descriptive language.

5. Vague Attributions

Watch for: Experts believe, Industry reports, Some critics argue, Observers note

Fix: Cite specific sources or remove.


Language Patterns

6. AI Vocabulary

High-frequency words: Additionally, crucial, delve, emphasizing, enhance, fostering, garner, highlight, interplay, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), testament, underscore, vibrant

Fix: Use simpler alternatives.

7. Copula Avoidance

Watch for: serves as, stands as, marks, represents, boasts, features, offers

Fix: Use "is", "are", "has".

8. Negative Parallelisms

Watch for: Not only...but..., It's not just about..., it's...

Fix: State the point directly.

9. Rule of Three

Watch for: Forced groups of three (innovation, inspiration, insights)

Fix: Keep what's needed, cut padding.

10. Synonym Cycling

Watch for: protagonist → main character → central figure → hero

Fix: Pick one term, stick with it.


Style Patterns

11. Em Dash Overuse

Fix: Replace with commas, periods, or restructure.

12. Excessive Boldface

Fix: Remove unless genuinely needed for emphasis.

13. Inline-Header Lists

Watch for: - Category: Description pattern

Fix: Convert to prose or simple lists.

14. Emojis in Professional Text

Fix: Remove unless contextually appropriate.

15. Curly Quotes

Watch for: "..." instead of "..."

Fix: Use straight quotes.


Communication Artifacts

16. Chatbot Artifacts

Watch for: I hope this helps!, Certainly!, Would you like me to..., Let me know if...

Fix: Remove entirely.

17. Knowledge-Cutoff Disclaimers

Watch for: as of [date], While specific details are limited..., based on available information...

Fix: Either find the info or acknowledge uncertainty naturally.

18. Sycophantic Tone

Watch for: Great question!, You're absolutely right!, That's an excellent point!

Fix: Remove. Get to the substance.


Filler and Hedging

19. Filler Phrases

  • "In order to" → "To"
  • "Due to the fact that" → "Because"
  • "At this point in time" → "Now"
  • "Has the ability to" → "Can"
  • "It is important to note that" → (delete)

20. Excessive Hedging

Watch for: could potentially possibly be argued that... might have some effect

Fix: State it plainly or acknowledge uncertainty once.

21. Generic Positive Conclusions

Watch for: The future looks bright, Exciting times lie ahead, major step forward

Fix: Replace with specific facts about what's actually next.


Quick Reference: Words to Avoid

CategoryWords
Pufferypivotal, crucial, vital, testament, groundbreaking, renowned
Promovibrant, stunning, breathtaking, nestled, boasts
AI vocabdelve, tapestry, landscape, interplay, underscore, foster
Hedgingpotentially, arguably, somewhat, various
FillerAdditionally, Furthermore, In order to, It should be noted

Output

Provide the rewritten text. Optionally summarize key changes made.

For detailed examples, see examples.md.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

84.22%
按下载量换算57,507

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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