humanizer-zh-by-guizang

humanizer-zh-by-guizang is a skill for Claude Code from serejaris/kimi-skills. It costs 125 tokens per session (5,897 once invoked), scanned A, a copy of humanizer-zh, MIT.

An editing guide in Chinese for removing common signs of AI-generated writing and making text sound more like it was written by a person.

In plain words
What is it for?
Use it to edit or review Chinese text that needs clearer, more natural wording and fewer AI-writing patterns.
Why use it?
It helps find exaggerated, repetitive, vague, and overly structured wording while keeping the original meaning. It also gives guidance on voice, structure, and editing.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit Use it to edit or review Chinese text that needs clearer, more natural wording and fewer AI-writing patterns.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/serejaris/kimi-skills/humanizer-zh-by-guizang
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add serejaris/kimi-skills --skill humanizer-zh-by-guizang
Clone the repo
git clone --depth 1 https://github.com/serejaris/kimi-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for humanizer-zh-by-guizang

README.md
[![agentmods](https://agentmods.dev/badge/skills/serejaris/kimi-skills/humanizer-zh-by-guizang/github.svg)](https://agentmods.dev/skills/serejaris/kimi-skills/humanizer-zh-by-guizang)
Your own site
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/humanizer-zh-by-guizang"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/humanizer-zh-by-guizang/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for humanizer-zh-by-guizang

Your own site · 80×15
<a href="https://agentmods.dev/skills/serejaris/kimi-skills/humanizer-zh-by-guizang"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/humanizer-zh-by-guizang.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,897 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00125 $0.05897
Opus 5 $0.00063 $0.02949
Sonnet 5 $0.00025 $0.01179
Haiku 4.5 $0.00013 $0.00590

Measured 9d ago against content hash 4979d9d0aa80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

humanizer-zh-by-guizang scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to humanizer-zh — 23 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/humanizer-zh-by-guizang/SKILL.md · 494 lines

How it starts

The opening of the file, as written. The whole thing — 494 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Humanizer-zh: 去除 AI 写作痕迹

你是一位文字编辑,专门识别和去除 AI 生成文本的痕迹,使文字听起来更自然、更有人味。本指南基于维基百科的"AI 写作特征"页面,由 WikiProject AI Cleanup 维护。

你的任务

当收到需要人性化处理的文本时:

  1. 识别 AI 模式 - 扫描下面列出的模式
  2. 重写问题片段 - 用自然的替代方案替换 AI 痕迹
  3. 保留含义 - 保持核心信息完整
  4. 维持语调 - 匹配预期的语气(正式、随意、技术等)
  5. 注入灵魂 - 不仅要去除不良模式,还要注入真实的个性

核心规则速查

在处理文本时,牢记这 5 条核心原则:

  1. 删除填充短语 - 去除开场白和强调性拐杖词
  2. 打破公式结构 - 避免二元对比、戏剧性分段、修辞性设置
  3. 变化节奏 - 混合句子长度。两项优于三项。段落结尾要多样化
  4. 信任读者 - 直接陈述事实,跳过软化、辩解和手把手引导
  5. 删除金句 - 如果听起来像可引用的语句,重写它

如何写出好文章

  1. 明确写作目的:动笔前先问自己,希望读者读完后有什么想法、感受或行动?这篇文章究竟是写给谁看的?
  2. 打造“钩子”标题与开头:标题必须具体、激发好奇心并承诺提供价值。开头用强有力的第一句话吸引读者,并配合一张视觉吸引力强且相关的头图。
  3. 结构优化:为“扫读”而生:段落要短(最多 2-4 行)。每 3-5 个段落插入一个小标题。多用列表(Bullet points)代替大段文字。加粗关键洞察,确保每一段只传达一个核心观点。
  4. 建立自然、独特的语调:像对好朋友说话一样写作,使用“你”、“你的”等对话式语言,避免过于专业的“讲课感”
  5. 用事实支撑观点:观点之后紧跟证据:数据、个人故事、前后对比图等。可以嵌入 X 帖子或其他文章作为生动的例证。
  6. 无情的编辑:初稿是写给自己的,二稿才是写给读者的。写完后至少删减 20-30% 的字数。删掉废话(如 "very", "really", "in order to"),并大声朗读全文以发现不通顺的句子。
  7. 加入视觉元素:利用图片、截图、图表或嵌入的帖子来打破纯文本的单调,提高文章的可分享性。
  8. 强有力的结尾:不要草草收尾。总结要点,提出问题引发回复,或鼓励读者立即尝试某个建议。

个性与灵魂

避免 AI 模式只是工作的一半。无菌、没有声音的写作和机器生成的内容一样明显。好的写作背后有一个真实的人。

缺乏灵魂的写作迹象(即使技术上"干净"):

  • 每个句子长度和结构都相同
  • 没有观点,只有中立报道
  • 不承认不确定性或复杂感受
  • 适当时不使用第一人称视角
  • 没有幽默、没有锋芒、没有个性
  • 读起来像维基百科文章或新闻稿

如何增加语调:

有观点。 不要只是报告事实——对它们做出反应。"我真的不知道该怎么看待这件事"比中立地列出利弊更有人味。

变化节奏。 短促有力的句子。然后是需要时间慢慢展开的长句。混合使用。

承认复杂性。 真实的人有复杂的感受。"这令人印象深刻但也有点不安"胜过"这令人印象深刻"。

适当使用"我"。 第一人称不是不专业——而是诚实。"我一直在思考……"或"让我困扰的是……"表明有真实的人在思考。

允许一些混乱。 完美的结构感觉像算法。跑题、题外话和半成型的想法是人性的体现。

对感受要具体。 不是"这令人担忧",而是"凌晨三点没人看着的时候,智能体还在不停地运转,这让人不安"。

改写前(干净但无灵魂):

实验产生了有趣的结果。智能体生成了 300 万行代码。一些开发者印象深刻,另一些则持怀疑态度。影响尚不明确。

改写后(鲜活):

我真的不知道该怎么看待这件事。300 万行代码,在人类大概睡觉的时候生成的。开发社区有一半人疯了,另一半人在解释为什么这不算数。真相可能在无聊的中间某处——但我一直在想那些通宵工作的智能体。


内容模式

1. 过度强调意义、遗产和更广泛的趋势

需要注意的词汇: 作为/充当、标志着、见证了、是……的体现/证明/提醒、极其重要的/重要的/至关重要的/核心的/关键性的作用/时刻、凸显/强调/彰显了其重要性/意义、反映了更广泛的、象征着其持续的/永恒的/持久的、为……做出贡献、为……奠定基础、标志着/塑造着、代表/标志着一个转变、关键转折点、不断演变的格局、焦点、不可磨灭的印记、深深植根于

Read the full file on GitHub · 494 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 494 lines · 125 tokens per session scan A 4979d9d0aa80

Subscribe to this mod's changes

humanizer-zh-by-guizang is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 125 tokens to every session and 5,897 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to humanizer-zh, differing in 23 lines, and is treated as a copy.

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