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Agent Skill · 研究检索

humanize(humanize 搜索)

humanize 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

humanize 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,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 50,882。

总安装 605周安装 26GitHub Stars 52下载 212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
unknown

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/aaaaqwq/claude-code-skills
仓库路径:skills/humanize
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill 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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill humanize

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。

用于移除 AI 生成文本特征,使内容更具自然表达和个性色彩。适合需要让 Agent 输出更人性化、有观点、有节奏变化的场景。基于维基百科 AI 写作特征指南,识别并改写过度正式、缺乏情感的具体表述。

安装命令:npx skills add https://github.com/aaaaqwq/claude-code-skills --skill humanize 需确认权限范围、维护状态,以及是否触发联网、命令执行或文件读写操作

来源仓库内路径:skills/humanize

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill humanize;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

humanize 怎么安装?

在终端执行 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill humanize。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

humanize 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

humanize 需要什么权限?

权限级别是只读。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。

humanize 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

humanize 用的人多吗?

公开数据是累计安装 605 次,近一周安装 26 次,下载 212 次,GitHub 52 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。

humanize 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
humanize

humanize 搜索 · 本页

60552只读未明确通过

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

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.

平台分布

Codex

37.1%
按下载量换算79

Claude

31.46%
按下载量换算67

Cursor

16.93%
按下载量换算36

Gemini CLI

9.77%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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