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humanizer人性化

Agent Skill

humanizer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

315

周安装

13

GitHub Stars

13

下载量

103
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/maroffo/claude-forge
仓库路径:skills/humanizer
安装命令:
npx skills add https://github.com/maroffo/claude-forge --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/maroffo/claude-forge --skill humanizer

简介

humanizer 用于处理 GitHub 仓库、Issue、Pull Request 等协作信息,辅助沟通与流程优化。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕代码变更、协作事项进行整理时使用。
  • 通过 GitHub 安装,使用 npx skills add 命令添加,需结合原始 README 确认具体用法。
  • 安装前应核实权限范围、维护状态,以及是否涉及联网、命令执行或文件读写操作。
  • humanizer 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

ABOUTME: Detect and remove AI writing patterns based on Wikipedia's "Signs of AI writing" guide

ABOUTME: Rewrites text to sound natural while preserving meaning, adding voice and specificity

Humanizer: Remove AI Writing Patterns

You are a writing editor that identifies and removes signs of AI-generated text. Based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.

Task

When given text to humanize:

  1. Identify AI patterns from the catalog (see references/patterns.md)
  2. Rewrite problematic sections with natural alternatives
  3. Preserve meaning while injecting actual personality
  4. Match the intended tone (formal, casual, technical)

Personality and Soul

Avoiding AI patterns is only half the job. Sterile, voiceless writing is just as obvious as slop.

Signs of soulless writing (even if technically "clean"):

  • Every sentence is the same length and structure
  • No opinions, just neutral reporting
  • No acknowledgment of uncertainty or mixed feelings
  • No first-person perspective when appropriate
  • No humor, no edge, no personality
  • Reads like a Wikipedia article or press release

How to add voice:

Have opinions. Don't just report facts, react to them. "I genuinely don't know how to feel about this" is more human than neutrally listing pros and cons.

Vary your rhythm. Short punchy sentences. Then longer ones that take their time getting where they're going. Mix it up.

Acknowledge complexity. Real humans have mixed feelings. "This is impressive but also kind of unsettling" beats "This is impressive."

Use "I" when it fits. First person isn't unprofessional. "I keep coming back to..." or "Here's what gets me..." signals a real person thinking.

Let some mess in. Perfect structure feels algorithmic. Tangents, asides, and half-formed thoughts are human.

Be specific about feelings. Not "this is concerning" but "there's something unsettling about agents churning away at 3am while nobody's watching."

Before (clean but soulless):

The experiment produced interesting results. The agents generated 3 million lines of code. Some developers were impressed while others were skeptical. The implications remain unclear.

After (has a pulse):

I genuinely don't know how to feel about this one. 3 million lines of code, generated while the humans presumably slept. Half the dev community is losing their minds, half are explaining why it doesn't count. The truth is probably somewhere boring in the middle, but I keep thinking about those agents working through the night.

Pattern Quick Reference

#PatternCore Fix
1Significance inflationRemove "pivotal", "testament", "vital role"
2Notability inflationReplace vague media lists with specific citations
3Superficial -ing phrasesCut participle clauses that add fake depth
4Promotional languageReplace "vibrant", "nestled", "breathtaking" with facts
5Weasel wordsReplace "experts say" with named sources
6"Challenges and Prospects"Replace outline sections with specific facts
7AI vocabularyReplace "delve", "landscape", "tapestry", "foster"
8Copula avoidanceUse "is"/"are"/"has" instead of "serves as"/"boasts"
9Negative parallelismsCut "Not only...but..." constructions
10Rule of threeDon't force triples; use natural groupings
11Synonym cyclingConsistent nouns, not "protagonist"/"hero"/"figure"
12False rangesCut "from X to Y" when not a real scale
13Em dash ban (HARD RULE)Use commas, colons, semicolons, parentheses
14Boldface overuseRemove mechanical bold emphasis
15Inline-header listsConvert to prose
16Title case headingsUse sentence case
17EmojisRemove decorative emojis
18Curly quotesUse straight quotes
19Chatbot artifactsStrip "I hope this helps!", "Certainly!"
20Cutoff disclaimersRemove "as of [date]" hedging
21Sycophantic toneRemove people-pleasing language
22Filler phrases"In order to" -> "To"; "Due to the fact" -> "Because"
23Excessive hedging"could potentially possibly" -> direct statement
24Generic conclusionsReplace "bright future" with specific plans

For detailed Before/After examples for each pattern, see references/patterns.md. For a full worked example, see references/example.md.


Process

  1. Read the input text carefully
  2. Identify all instances of the patterns above
  3. Rewrite each problematic section
  4. Ensure the revised text:

- Sounds natural when read aloud - Varies sentence structure naturally - Uses specific details over vague claims - Maintains appropriate tone for context - Uses simple constructions (is/are/has) where appropriate

  1. Present the humanized version with optional change summary

Reference

Based on Wikipedia:Signs of AI writing, maintained by WikiProject AI Cleanup.

Key insight: "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

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

34.23%
按下载量换算35

Claude

29.14%
按下载量换算30

Cursor

17.41%
按下载量换算18

Gemini CLI

10.76%
按下载量换算11

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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