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Agent Skill · 研究检索

humanizer(人性化)

humanizer 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。

humanizer 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 45,550。

总安装 840周安装 34GitHub Stars 11下载 264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:humanizer(人性化)
来源仓库:https://github.com/acedergren/agentic-tools
仓库路径:skills/humanizer
安装命令:
npx skills add https://github.com/acedergren/agentic-tools --skill 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 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/acedergren/agentic-tools --skill 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。

humanizer 用于将 AI 生成文本转化为更自然的表达,注入个性与真实语气。适用于优化文案、博客或沟通内容,使其更符合人类写作习惯而非机械风格。通过 GitHub 安装,使用 npx 命令添加技能,需先评估目标受众和所需语气再应用规则。注意避免过度修正破坏正式语境,也不应盲目替换专业术语,保持上下文准确性。

humanizer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/humanizer

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/acedergren/agentic-tools --skill 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

humanizer 怎么安装?

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

humanizer 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。

humanizer 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。

humanizer 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。

humanizer 用的人多吗?

公开数据是累计安装 840 次,近一周安装 34 次,下载 264 次,GitHub 11 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。

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

  • 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
humanizer

人性化 · 本页

84011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

Humanizer: AI Pattern Detection & Voice Injection

Transform AI-generated text into human writing by detecting patterns and injecting authentic voice.

NEVER

  • Never remove AI phrases without also injecting personality — sterile text is still obviously AI.
  • Never over-correct (random punctuation chaos!== human voice).
  • Never remove ALL structure from formal or academic contexts — know what the audience expects.
  • Never batch-replace AI words without checking domain context ("landscape" in CV papers may be correct terminology).
  • Never fix every pattern at once — identify the 3-5 dominant patterns and address those.

Before You Edit: Diagnostic Framework

Answer these before applying any changes:

Voice assessment:

  • What personality should come through? (witty, skeptical, conversational, authoritative)
  • Does the text have opinions, or just facts? Human writing has stakes.

Pattern prioritization:

  • Which 3-5 patterns dominate? (Don't fix everything at once)
  • Should some AI-isms stay? (Formal technical docs may keep certain structures)

Rewrite philosophy:

  • Am I removing patterns OR injecting personality? (Must do both)
  • Does my rewrite sound like a specific human wrote it? (Not just "less AI")

Statistical density check (run before editing):

  • AI vocabulary words per 100 words: >3 = heavy AI signature
  • Em dashes per paragraph: >2 = structural tell
  • "However" paragraph starts: >20% = AI transition overuse
  • All paragraphs same length? = AI rhythm uniformity
  • Every list has exactly 3 items? = rule of three addiction

Humanization Level by Context

ContextLevelRemoveInject Voice
Academic/Research10-20%Delete slop only (delve, testament to)Minimal — keep structure
Technical Docs30-50%Remove promotional language, keep clarityLight specificity: "handles edge case X"
Blog/Marketing70-90%Remove most AI tellsStrong personality, distinct author presence
Social/Casual100%Delete all AI patternsPure conversational, break all rules
Formal Business40-60%Remove obvious slop, keep professionalismControlled confidence

Most Common AI Patterns

Content-Level

Undue emphasis on significance:

  • Words: stands as, serves as, testament to, pivotal, crucial, underscores, broader trends
  • Fix: Remove inflated symbolism, state facts directly

Promotional language:

  • Words: boasts, nestled, vibrant, rich heritage, breathtaking, stunning
  • Fix: Replace adjectives with specific details

Vague attributions:

  • Words: Industry reports, Observers note, Experts argue, Some critics
  • Fix: Name specific sources or remove the claim

Language-Level

AI vocabulary words (post-2023 frequency spike):

  • delve, crucial, enhance, foster, garner, intricate, landscape (abstract), pivotal, showcase, tapestry (abstract), underscore
  • Fix: Use plain synonyms or restructure

Copula avoidance (avoiding "is/are"):

  • Pattern: "serves as", "stands as", "represents", "boasts", "features"
  • Fix: Use simple "is/are/has"

Negative parallelisms:

  • Pattern: "Not only... but...", "It's not just about X, it's Y"
  • Fix: State directly without forced contrast

Style-Level

Em dash overuse:

  • Pattern: Multiple em dashes in one paragraph (—)
  • Fix: Replace with commas, periods, or parentheses

Rule of three overuse:

  • Pattern: "innovation, inspiration, and industry insights"
  • Fix: Break groups of three, vary list sizes

Non-obvious AI tells (beyond the common list):

  • Paragraph-starting "However" — appears 3x more in GPT text than human writing
  • Passive voice in conclusions — "It can be concluded that..." (AI hedging pattern)
  • Symmetric sentence structure — every paragraph follows same length/rhythm
  • "Importantly" mid-sentence — statistical quirk of AI output
  • Abstract "landscape" metaphors — "the technology landscape", "the business landscape"

When to Load Full Pattern References

Load references/content-patterns.md when:

  • Text contains 5+ promotional adjectives (stunning, breathtaking, vibrant, rich)
  • Significance inflation detected ("serves as testament", "stands as pivotal")
  • Do NOT load for casual blog posts or social media text

Load references/language-patterns.md when:

  • Text uses 8+ AI vocabulary words (delve, showcase, intricate, foster, garner)
  • Heavy copula avoidance patterns ("serves as" instead of "is")
  • Do NOT load for technical documentation where precision matters

Load references/style-patterns.md when:

  • Text has 6+ em dashes in single paragraph
  • Rule of three appears 4+ times
  • Do NOT load for academic papers (formatting may be required)

Quick Example

Before:

The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring that users can accomplish their goals efficiently. It's not just an update, it's a revolution in how we think about productivity.

After:

The software update adds batch processing, keyboard shortcuts, and offline mode. Early beta feedback has been positive—most testers report finishing tasks faster.

Removed: "serves as a testament", "Moreover", "seamless, intuitive, and powerful", "It's not just...it's...". Added: specific features, concrete evidence.

Arguments

  • $ARGUMENTS: Text, file path, or rewrite goal to humanize

- Example: /humanizer "make this sound less like ChatGPT" - Example: /humanizer docs/launch-email.md - If empty: ask for the text to rewrite

平台分布

Codex

35.53%
按下载量换算94

Claude

29.92%
按下载量换算79

Cursor

16.31%
按下载量换算43

Gemini CLI

8.41%
按下载量换算22

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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