Humanizer
Azure-Samples/interview-coach-agent-framework
Remove signs of AI-generated writing from text. An agent skill from Azure-Samples/interview-coach-agent-framework.
Transform AI-generated Chinese text into natural academic writing style
Install Chinese Text Humanizer
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins chinese-text-humanizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .claude/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .claude/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins chinese-text-humanizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .agents/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .agents/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins chinese-text-humanizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .cursor/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .cursor/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/writing/polish/chinese-text-humanizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins chinese-text-humanizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .gemini/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .gemini/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wentorai/research-plugins chinese-text-humanizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .github/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .github/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins chinese-text-humanizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/writing/polish/chinese-text-humanizer .opencode/skills/chinese-text-humanizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "chinese-text-humanizer" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/writing/polish/chinese-text-humanizer into .opencode/skills/chinese-text-humanizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chinese-text-humanizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
chinese-text-humanizer- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~863 tokens
- SKILL.md length
- 155 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
Transform AI-generated Chinese text into natural academic writing style
- Tasks that involve Humanizing AI text
- SKILL.md covers Overview, Common AI-Generated Chinese…, Humanization Strategies and Revision Checklist, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Chinese Text Humanizer is an agent skill from wentorai/research-plugins. Transform AI-generated Chinese text into natural academic writing style
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Humanizing AI text
Example prompts
- “/chinese-text-humanizer”
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cnki.net
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Chinese Text Humanizer loads about 863 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 155 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 155 words, ~863 tokens.
Download SKILL.mdSave it as
.claude/skills/chinese-text-humanizer/SKILL.md (or your agent's skills folder).- name
- chinese-text-humanizer
- description
- Transform AI-generated Chinese text into natural academic writing style
Chinese Academic Text Humanizer
Overview
AI-generated Chinese academic text often exhibits detectable patterns: overly balanced sentence structures, formulaic transitions, predictable hedging, and unnaturally consistent register. This guide provides strategies to transform AI-assisted drafts into natural, human-sounding Chinese academic prose while maintaining scholarly rigor. Applicable to journal manuscripts, thesis chapters, and grant applications written in Chinese.
Common AI-Generated Chinese Text Patterns
Detectable Markers
| Pattern | AI Tendency | Human Academic Style |
|---|---|---|
| Sentence openings | 重复使用 "本文"、"本研究"、"值得注意的是" | 变换主语：具体名词、被动句式、无主句 |
| Transitions | 机械使用 "首先…其次…最后" | 自然承接：因果、转折、递进交替 |
| Hedging | 每句都加 "可能"、"一定程度上" | 有选择地使用限定语，关键结论要果断 |
| Paragraph structure | 总-分-总，每段等长 | 段落长短不一，论证节奏有变化 |
| Vocabulary | 偏好"关键""重要""显著" | 用词精确：分辨"关键/核心/至关重要"的语境差异 |
| 列举 | 大量并列三项 ("X、Y和Z") | 有时二项，有时四项，避免刻板的三项并列 |
Humanization Strategies
Strategy 1: Vary Sentence Structure
AI 风格（机械均匀）：
"深度学习在自然语言处理中取得了显著进展。研究者提出了多种模型来解决文本分类问题。
这些方法在标准数据集上取得了良好效果。然而，实际应用中仍面临诸多挑战。"
修改后（节奏变化）：
"深度学习正深刻改变自然语言处理的面貌——从文本分类到机器翻译，预训练模型已成为
事实上的标准范式。不过，标准数据集上的高分并不总能转化为实际场景中的可靠表现。
部署环境中的分布偏移、标注噪声以及计算资源限制，都使得从实验室到生产环境的过渡
远非一帆风顺。"
改进点：
✓ 长短句交替
✓ 破折号引入补充说明
✓ 具体化 "诸多挑战"
✓ "远非一帆风顺" 比 "仍面临挑战" 更生动Strategy 2: Replace Formulaic Transitions
| AI 公式化 | 替代方案 |
|---|---|
| 首先…其次…最后… | 删除序号词，用逻辑关系自然承接 |
| 值得注意的是 | 直接陈述，或用 "尤其是"、"特别是" |
| 综上所述 | "以上分析表明" 或直接给出结论 |
| 总的来说 | "总体而言" 或省略，直接表述 |
| 研究表明 | 具体引用："Li et al. (2024) 发现…" |
| 具有重要意义 | 说清楚重要在哪里："这为X提供了Y" |
Strategy 3: Inject Disciplinary Voice
AI（泛化的学术腔）：
"本研究采用混合方法研究设计，结合定量和定性数据分析，
以期全面了解该现象。"
经济学风格：
"我们构建了一个双重差分模型，利用2016年政策冲击作为外生变量，
识别市场准入放宽对中小企业融资成本的因果效应。"
社会学风格：
"通过对15位流动务工人员的深度访谈，本文试图理解制度性排斥如何
在日常生活实践中被体验和回应。"
改进点：
✓ 具体的方法名称（不是 "混合方法"）
✓ 具体的研究对象（不是 "该现象"）
✓ 学科特有术语（因果效应、外生变量、制度性排斥）Strategy 4: Authentic Chinese Academic Conventions
中文学术写作的特有习惯（AI 常遗漏）：
1. 四字格的适当使用（但不过度）：
✓ "方兴未艾""不容忽视""有待商榷"
✗ 不要每句都塞入四字格
2. 引述惯例：
✓ "正如张三 (2023) 所指出的，…"
✓ "有学者认为…（李四，2024；王五，2023）"
✗ AI 常写："研究表明…" 但不给出具体引用
3. 数据呈现：
✓ "回归结果（表3第(2)列）显示，处理组均值提高了12.3个百分点（p<0.01）"
✗ AI 常写："结果显示变量之间存在显著正相关关系"（太模糊）
4. 论文基金致谢：
✓ 放在首页脚注，格式："本研究受国家自然科学基金项目（No. XXXXXXX）资助"Strategy 5: Paragraph-Level Restructuring
AI 通常生成 "总-分-总" 结构的等长段落。修改策略：
1. 合并过短的段落（少于3句的段落考虑合并）
2. 拆分过长的段落（超过8句时寻找分割点）
3. 删除重复表述（AI 喜欢在段首和段尾重复相同观点）
4. 添加段间逻辑标记（"与此形成对照的是""这一发现的理论含义在于"）
5. 允许段落长短不一（3句段和7句段交替出现更自然）Revision Checklist
## 逐段检查清单
□ 删除了所有 "本文"/"本研究" 的过度使用（每页不超过2次）
□ 替换了公式化过渡词
□ 检查了每个 "重要/显著/关键" 是否有具体说明
□ 确保引用了具体文献（不是泛泛的 "研究表明"）
□ 段落长度有变化（不是每段都5-6句）
□ 句式有变化（长短句交替，主动被动穿插）
□ 四字格使用适度（每段不超过1-2个）
□ 数据引用精确（有表格编号、列号、数值）
□ 读起来像你自己写的（而不是任何人都能写的通用文本）References
- 中国社会科学院语言研究所 (2016). 现代汉语词典 (第7版). 商务印书馆.
- 毕飞宇 (2017). 小说课. 人民文学出版社. (关于汉语写作节奏的参考)
- 中国知网写作规范
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/writing/polish/chinese-text-humanizer of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Chinese Text Humanizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Chinese Text Humanizer this skillwentorai/research-plugins | 298 | 1 repos | ~863 | Automated safety check: Pass | MIT | |
| HumanizerAzure-Samples/interview-coach-agent-framework | 173 | 38 repos | ~5.8k | Automated safety check: Pass | MIT | |
| Avoid AI Writingconorbronsdon/avoid-ai-writing | 4.9k | 3 repos | ~8.1k | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Install Anti Sloptrycompai/crm | 11k | 1 repos | ~881 | Automated safety check: Pass | MIT | |
| Stop SlopXe/site | 732 | 8 repos | ~423 | Automated safety check: Pass | MIT |
Similar skills
- Official
Avoid AI Writing
conorbronsdon/avoid-ai-writing
Audit and rewrite content to remove AI writing patterns ("AI-isms").
User-Facing Text Cleanup
guillaumemeyer/watermarks-remover
Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
Install Anti Slop
trycompai/crm
Install and configure the anti-slop Oxlint plugin in a local TypeScript or JavaScript repository.
Stop Slop
Xe/site
Remove AI writing patterns from prose. An agent skill from Xe/site.
Chinese Text Humanizer
op7418/Humanizer-zh
Edits Chinese articles, comments and documents to remove filler, repetition and template phrasing while keeping the facts, the level of certainty and the author's voice.
More from wentorai/research-plugins
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Academic Paper Summarizer
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Adjust writing tone and register for academic audiences and venues
Academic Translation Guide
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Academic translation, post-editing, and Chinglish correction guide
Related
Categories
Questions about Chinese Text Humanizer
What does Chinese Text Humanizer do?
Transform AI-generated Chinese text into natural academic writing style. Chinese Text Humanizer is an agent skill from wentorai/research-plugins.
When should I use Chinese Text Humanizer?
Chinese Text Humanizer fits situations like: tasks that involve Humanizing AI text.
How do I install Chinese Text Humanizer in Claude Code?
Run `npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a claude-code`. Or copy the skill folder (skills/writing/polish/chinese-text-humanizer in wentorai/research-plugins) into .claude/skills/chinese-text-humanizer in your project. Claude Code loads it when a task matches its description.
How do I install Chinese Text Humanizer in Codex?
Run `npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a codex`. Or copy the skill folder (skills/writing/polish/chinese-text-humanizer in wentorai/research-plugins) into .agents/skills/chinese-text-humanizer in your project. Codex loads it when a task matches its description.
Can I use Chinese Text Humanizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill chinese-text-humanizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chinese-text-humanizer, .gemini/skills/chinese-text-humanizer, .github/skills/chinese-text-humanizer and .opencode/skills/chinese-text-humanizer in your project.
What does Chinese Text Humanizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Chinese Text Humanizer is instructions for the agent only.
Does Chinese Text Humanizer access the network?
SKILL.md names 1 domain. As links in the text: cnki.net. This is read from the text; nothing was executed.
Is Chinese Text Humanizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Chinese Text Humanizer use?
Chinese Text Humanizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Chinese Text Humanizer use?
About 863 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Chinese Text Humanizer?
Skills that share tags, products or a category with Chinese Text Humanizer: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Chinese Text Humanizer?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.