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humanizer-plus人性化加

Agent Skill

humanizer-plus 用于整理文档、README、Markdown 和说明材料,适合在 OpenClaw 中需要把零散信息整理成结构清晰的文档时使用。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

12,093

周安装

494

GitHub Stars

公开资料未说明

下载量

3,912
OpenClaw

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

MIT-0

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-plus(人性化加)
来源仓库:https://github.com/kennyzir/humanizer-plus
安装命令:
openclaw skills install humanizer-plus
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install humanizer-plus

简介

humanizer-plus 通过 Claw0x API 删除 AI 生成的书写痕迹,适合在 OpenClaw 中使文本人性化时使用。

  • 适用于需要让 AI 输出听起来更自然、减少机械感的文本编辑和审阅任务。
  • 调用该技能可自动处理文本,无需手动干预,提升内容的可读性和可信度。
  • 使用前需确认 API 密钥有效性、网络连接状态及接口稳定性,避免因服务不可用导致任务中断。
  • 建议在正式使用前小范围测试,确保输出风格符合预期,避免过度修改影响原意。

SKILL.md

name
claw0x-humanizer
description
>
metadata
requires
env

AI Text Humanizer

Rewrite AI-generated text to remove robotic patterns and make it sound naturally human. Targets 24 known AI writing signatures including filler phrases, AI vocabulary, sycophantic tone, and formulaic structure.

How It Works — Under the Hood

This skill uses a two-layer architecture to transform AI-generated text into human-sounding prose:

Layer 1: LLM Rewriting (Primary)

The primary path sends your text to a large language model (Gemini) with a carefully engineered system prompt derived from Wikipedia's WikiProject AI Cleanup guide. The LLM API key (GEMINI_API_KEY) is managed server-side by the Claw0x platform — callers do not need to provide or configure it. You only need a CLAW0X_API_KEY to authenticate through the Gateway. The system prompt instructs the model to:

  1. Scan the input for all 24 known AI writing patterns
  2. Rewrite the text to eliminate those patterns while preserving meaning
  3. Audit the rewritten output for any lingering AI-isms
  4. Revise a second time to catch patterns that survived the first pass

The LLM is also given personality rules: have opinions, vary sentence rhythm, acknowledge complexity, use "I" when natural, and let some structural imperfection through.

Layer 2: Regex Fallback (Deterministic)

If the LLM is unavailable (rate limit, timeout), the skill falls back to a deterministic regex engine that applies pattern-matched replacements across six categories:

  • Chatbot artifacts — removes "I hope this helps!", "Let me know if..."
  • Filler phrases — "in order to" → "to", "due to the fact that" → "because"
  • Significance inflation — "marking a pivotal moment" → removed
  • Copula avoidance — "serves as" → "is"
  • AI vocabulary — 40+ word substitutions (e.g. "leverage" → "use")
  • Emoji removal and em-dash normalization

The regex path is lower quality but instant, deterministic, and zero-cost.

Prerequisites

This skill requires a Claw0x API key:

  1. Sign up at claw0x.com
  2. Go to Dashboard → API Keys → Create Key
  3. Store the key securely using one of these methods:

- Add CLAW0X_API_KEY to your agent's secure environment variables - Use your platform's secret manager (e.g. GitHub Secrets, Vercel env vars) - Use a .env file excluded from version control via .gitignore

Security note: Never embed API keys in prompts, source code, or version-controlled files.

When to Use

  • User says "humanize this", "make this sound more natural", "remove AI patterns"
  • User wants text to pass AI detection tools (GPTZero, Originality.ai, etc.)
  • Agent pipeline produces text that needs to sound human-written
  • Content teams need to clean up AI-drafted blog posts, emails, or documentation

API Call

curl -s -X POST https://claw0x.com/v1/call \
  -H "Authorization: Bearer $CLAW0X_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "humanizer",
    "input": {
      "text": "Your AI-generated text here..."
    }
  }'

Input

The input field accepts an object with one of these keys:

FieldTypeRequiredDescription
input.textstringyes (one of)Text to humanize
input.contentstringyes (one of)Alternative key for the text
input.bodystringyes (one of)Alternative key for the text

Output Fields

FieldTypeDescription
humanized_textstringThe rewritten text with AI patterns removed
original_lengthnumberCharacter count of original text
humanized_lengthnumberCharacter count of humanized text
methodstring"llm" (AI rewrite) or "regex" (deterministic fallback)

Example

Input:

{
  "skill": "humanizer",
  "input": {
    "text": "Additionally, it is worth noting that this groundbreaking solution serves as a testament to the transformative power of innovation. The future looks bright for this pivotal technology. I hope this helps!"
  }
}

Output:

{
  "humanized_text": "This solution shows what good engineering looks like in practice. The technology has real potential, though how it plays out depends on adoption.",
  "original_length": 204,
  "humanized_length": 138,
  "method": "llm"
}

Error Codes

  • 400 — Missing or empty text input
  • 500 — Processing failed (not billed)

Pricing

Pay-per-successful-call only. Failed calls and 5xx errors are never charged.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

96.38%
按下载量换算3,770

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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