OpenClaw的Humanizer-技能（skill）的描述

通过检测并移除大型语言模型（LLM）输出的典型模式，使人工智能生成的文本更具人性化。将文本重写，使其听起来自然、具体且更具人情味。该工具使用24种模式检测器、涵盖3个层级的500多个人工智能词汇术语，以及统计分析（突发性、类符比、可读性）进行全面检测。当需要将文本人性化、去人工智能化写作、使内容听起来更自然/更具人情味、检查写作中的人工智能模式、为文本进行人工智能检测评分，或改进人工智能生成的草稿时使用。涵盖内容、语言、风格、沟通和填充词类别。

OpenClaw's Humanizer skill

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.

Humanizer - skill原始代码包

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