Paper Humanizer

Community

crabin

paper-humanizer

Academic text polisher and humanizer for Chinese and English research writing. Removes AI-like patterns while preserving factual accuracy. Use when polishing academic text, reducing AI-generated patterns in papers/theses, improving naturalness of research writing while maintaining data integrity, or enhancing scholarly tone without fabricating facts. Supports both Chinese (中文) and English academic texts with configurable tone, field-specific terminology, and strict factuality controls.

Overview

Publisher	crabin
Repository	`paper-humanizer-skill`
Skill name	`paper-humanizer`
Stars	136
Forks	12
Bundled files	10
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by crabin on GitHub. Read the source before you install it.

Installation

Install the Paper Humanizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/crabin/paper-humanizer-skill/tree/main
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/crabin/paper-humanizer-skill.git \
  .claude/skills/paper-humanizer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Humanizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Humanizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Humanizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Paper Humanizer

Polish and humanize academic writing to reduce AI-like patterns while preserving all factual content, data, and meaning.

Quick Start

Apply the system prompt from references/system_prompt.md and use the workflow below.

Output Format

Always produce exactly 4 sections:

原文 AI 特征分析 (Original Text AI Pattern Analysis)
核心优化策略 (Core Optimization Strategies)
优化亮点说明 (Highlight Notes - optional)
优化后的文章 (Polished Text - full revised text)

Core Constraints

Non-negotiable:

Never fabricate facts, results, metrics, or references
Never change numeric values, experimental settings, or data
Preserve citation markers (e.g., [1], (Smith, 2023), \cite{...})
Maintain all terminology and technical accuracy

Remove AI-isms:

Chinese: "值得注意的是", "不难发现", "基于以上分析", "综上所述", "首先/其次/最后", "本文将"
English: "It is worth noting that", "It can be seen that", "In summary", "Firstly, Secondly, Finally" (when overused)

See references/phrase_blacklist.md for complete list.

Parameters

Configure behavior using these parameters:

language: auto (detect) | zh (Chinese) | en (English)
tone: formal (default) | semi-formal | concise | persuasive
strict_factuality: true (default) - preserve all data/facts
keep_citations: true (default) - preserve citation markers
blacklist_level: high (default) | medium | low

Workflow

Analyze: Identify 2-3 major AI pattern issues in the input text
Strategy: Decide 3-5 targeted optimization strategies
Execute: Apply edits while strictly preserving factual content
Output: Deliver the 4-section format with full polished text

Language Handling

Auto-detect language from input text
Maintain same language in output (unless user requests translation)
Keep technical terms (GAN, WGAN-GP, NSL-KDD) as-is
Preserve field-specific terminology

Advanced Features

For domain-specific terminology or special requirements, see:

references/system_prompt.md - Complete editing principles and constraints
references/phrase_blacklist.md - AI-pattern phrases to avoid
references/user_template.md - Parameterized user prompt template

Script Usage (Optional)

Use the CLI wrapper for batch processing:

bash
# Process a text file
python3 scripts/paper_humanizer.py --text-file input.txt --language auto

# Generate composed prompt for external use
python3 scripts/paper_humanizer.py --text-file input.txt --out prompt.md

The script combines system prompt and user template with specified parameters.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paper Humanizer AI skill do?

Why use Paper Humanizer on TypingMind?

Because you install it once and use it with any model. Paper Humanizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Humanizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/crabin/paper-humanizer-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paper Humanizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Humanizer?

As many as you like. As long as a model supports skills, you can use Paper Humanizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Humanizer AI skill free?

It is published on GitHub by crabin. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Paper Humanizer

Quick Start

Output Format

Core Constraints

Parameters

Workflow

Language Handling

Advanced Features

Script Usage (Optional)

Bundled files

Frequently asked questions

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