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humanizer人性化

Agent Skill

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。

总安装

840

周安装

34

GitHub Stars

11

下载量

264
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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。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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