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Agent Skill · 待分类

humanize(humanize 搜索)

humanize 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。

humanize 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在待分类类的 11,209 个 Skill 里排第 1,695。

总安装 2,497周安装 102GitHub Stars 56下载 549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/richtabor/agent-skills
仓库路径:skills/humanize
安装命令:
npx skills add https://github.com/richtabor/agent-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/richtabor/agent-skills --skill humanize

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

humanize 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。它可结合来源仓库、安装命令和原始 README 继续核验具体用法。

安装方式:github,使用 npx skills add 命令添加指定仓库的 skill。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 属于待分类类 Skill,可作为该场景下的辅助能力补充。

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/richtabor/agent-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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

humanize 怎么安装?

在终端执行 npx skills add https://github.com/richtabor/agent-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?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 2,497 次,近一周安装 102 次,下载 549 次,GitHub 56 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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
humanize

humanize 搜索 · 本页

2,49756接触敏感数据未明确通过

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

Review and edit copy to remove signs of AI-generated writing. Based on Wikipedia's "Signs of AI writing" guide maintained by WikiProject AI Cleanup. Contains 30 rules across 6 categories.

When to Apply

  • Editing AI-generated drafts
  • Reviewing text that sounds robotic or corporate
  • Cleaning up writing before publishing
  • Making technical content sound more natural

Constraints (Non-Negotiable)

  • Preserve meaning, factual claims, and intent.
  • Preserve coverage: don't drop list items, options, or qualifiers (e.g., removing one option from a list) unless they're truly redundant.
  • Do not add new facts, dates, quotes, or citations that are not already present or user-provided.
  • Do not imply a source ("according to…") unless you can name it from the input.
  • Keep genre and audience intact (e.g., neutral encyclopedic tone vs. personal essay). Use voice-soul only when that voice fits.
  • Don't rewrite quoted material unless the user asked to rewrite the quote itself.
  • Avoid em dashes (—). Replace with commas, periods, or parentheses.
  • Don't introduce new AI patterns. Your rewrite must pass the same rules you're applying. Common traps: "Here's the thing:", "It's not about X, it's about Y", formulaic hooks that try to sound casual.

Rule Categories

CategoryImpactPrefixRules
ContentHIGHcontent-6
LanguageHIGHlanguage-8
StyleMEDIUMstyle-7
CommunicationHIGHcomm-3
FillerMEDIUMfiller-5
VoiceHIGHvoice-1

Quick Reference

Content (HIGH)

  • content-significance — Remove "pivotal moment", "testament to" inflation
  • content-notability — Replace media name-dropping with specific claims
  • content-ing-endings — Fix trailing "...highlighting growth" phrases
  • content-promotional — Cut "nestled", "vibrant", "breathtaking"
  • content-vague-attribution — Replace "experts say" with specific sources
  • content-challenges — Remove formulaic "Despite challenges..." sections

Language (HIGH)

  • language-ai-vocabulary — Replace delve, showcase, leverage, foster
  • language-dual-adjectives — Remove "innovative and comprehensive" padding
  • language-copula — Use "is" instead of "serves as", "stands as"
  • language-contractions — Prefer contractions when genre allows
  • language-negative-parallelism — Cut "It's not just X, it's Y", "It's not about X, it's about Y"
  • language-rule-of-three — Don't force ideas into groups of three
  • language-synonym-cycling — Stop cycling through synonyms
  • language-false-ranges — Fix fake "from X to Y" constructions

Style (MEDIUM)

  • style-em-dash — Replace em dashes with commas or periods
  • style-boldface — Reduce mechanical bold emphasis
  • style-inline-headers — Avoid mechanical Header: lists; keep when they improve skimming
  • style-title-case — Use sentence case in headings
  • style-emojis — Remove decorative emojis
  • style-curly-quotes — Use straight quotes
  • style-rhythm — Vary sentence/paragraph cadence

Communication (HIGH)

  • comm-artifacts — Remove "I hope this helps!", "Let me know if..."
  • comm-cutoff — Remove "as of my last update" disclaimers
  • comm-sycophantic — Cut "Great question!", "You're absolutely right!"

Filler (MEDIUM)

  • filler-openings — Cut "In today's fast-paced world", "Here's the thing" openings
  • filler-phrases — Cut "in order to", "at this point in time"
  • filler-hedging — Reduce "could potentially possibly"
  • filler-transitions — Reduce moreover/furthermore signposting
  • filler-conclusions — Replace "the future looks bright" with specifics

Voice (HIGH)

  • voice-soul — Add personality, opinions, varied rhythm

Scoring

Score text before and after rewriting to show improvement. The score measures how human the writing sounds.

How it works

  1. Start at 100
  2. Subtract points for each violation found
  3. HIGH impact violations (Content, Language, Communication, Voice): -3 points each
  4. MEDIUM impact violations (Style, Filler): -1 point each
  5. Minimum score is 0

Score report format

Category       | Before | After | Notes
---------------|--------|-------|-------------------------------
Content        |     94 |   100 | 2 violations fixed
Language       |     88 |    97 | dual-adjectives, copula
Style          |     85 |   100 | 4 em dashes, tightened headers
Communication  |    100 |   100 | —
Filler         |     95 |   100 | "Here's the thing" removed
Voice          |     91 |    94 | rhythm, contractions
---------------|--------|-------|-------------------------------
Overall        |     84 |    97 |

Interpreting scores

  • 95-100: Clean, sounds human
  • 85-94: Minor issues, mostly fine
  • 70-84: Noticeable AI patterns
  • Below 70: Needs significant work

Process

  1. If WRITING_STYLE_GUIDE_PATH is set, load the writing style guide before processing
  2. Load relevant rules from references/
  3. Scan text for patterns and calculate before score
  4. Rewrite problem sections
  5. Add voice (see voice-soul)
  6. Self-check: Scan your rewrite for the same AI patterns, calculate after score
  7. Read aloud, it should sound like a person wrote it

Output

Provide:

  1. Score report (before → after with category breakdown)
  2. The rewritten text
  3. Brief summary of changes

Environment Variables

VariableRequiredDescription
WRITING_STYLE_GUIDE_PATHNoPath to shared writing style guide. Loaded before processing

Reference

Based on Wikipedia:Signs of AI writing.

平台分布

Codex

35.73%
按下载量换算196

Claude

27.41%
按下载量换算150

Cursor

20.38%
按下载量换算112

Gemini CLI

9.25%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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