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MrGeDiao
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MrGeDiao/shuorenhua

说人话|中文优先的去 AI 味改写 skill:保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.

Python ◇ agent-skill MIT
★2KSTARS
⑂81FORKS
!1ISSUES
🏆#4,857GLOBAL RANK
🔥61DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

shuorenhua is shuorenhua is an open-source project written in Python: 说人话|中文优先的去 AI 味改写 skill:保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.. It provides a free, self-hosted open-source alternative to Cursor.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), MrGeDiao/shuorenhua has accumulated 1,972 GitHub stars and 81 forks. It is written in Python, licensed under MIT, and ranks #4,857 globally. It is actively maintained with the latest commit recorded on Oct 3, 2026.”
Repository MrGeDiao/shuorenhua ↗
Primary Category agent skill
Language & Stack Python
Software License MIT
Community Traction ★ 2K stars · ⑂ 81 forks · #4,857 globally
Maintenance ● Active (Last commit: Oct 3, 2026) · 1 open issues
Replaces SaaS Open Source Cursor Alternative ($20/month per user) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is shuorenhua actively maintained in 2026?
Verdict: Actively Maintained

Yes, shuorenhua is actively maintained. Continuous telemetry recorded the last code commit on Oct 3, 2026 (27 days ago). Supported by 1,972 stars and 81 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (27 days ago) and healthy issue cadence.

Commit Recency
Oct 3, 2026
27 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
81 Forks
2K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for MrGeDiao/shuorenhua
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Momentum

+49

STARS · LAST 30 DAYS

2

PER DAY

#676

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+49+180
Per day122
Forks gained+0+3+10

shuorenhua gained 49 stars in the last 30 days, about 2 a day, and now has 2K. It is about 1 year old and has averaged roughly 2K stars a year. It ranks #676 among Python repositories and #4,857 across all languages on GitHubRepo.

Trending Record

shuorenhua has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:

💡 Overview

shuorenhua is an open-source project written in Python: 说人话|中文优先的去 AI 味改写 skill:保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skill, ai-writing, anti-slop. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install shuorenhua

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

shuorenhua coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with shuorenhua.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install shuorenhua using your package manager: `pip install shuorenhua`

2

Initialize your project workspace or configuration file for shuorenhua.

3

Import shuorenhua into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `shuorenhua --help` to verify successful setup.

👍 Strengths

Active community backing with 1,972 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to Cursor Replaces proprietary subscriptions ($20/month per user) with self-hosted freedom.
Explore all Cursor alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

MrGeDiao/shuorenhua is currently ranked #4,857 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,852 Hamza417/Inure Kotlin ★ 2K Compare ↗
#4,853 danwrong/restler JavaScript ★ 2K Compare ↗
#4,854 jakejs/jake JavaScript ★ 2K Compare ↗
#4,854 rappasoft/laravel-livewire-tables PHP ★ 2K Compare ↗
#4,854 nook-browser/Nook Swift ★ 2K Compare ↗
#4,857 MrGeDiao/shuorenhua This Project Python ★ 2K
#4,857 ing-bank/lion JavaScript ★ 2K Compare ↗
#4,858 w3c/epubcheck Java ★ 2K Compare ↗
#4,859 iiab/iiab Jinja ★ 2K Compare ↗
#4,859 nix-community/NUR Python ★ 2K Compare ↗
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Frequently Asked Questions

What does shuorenhua do? +

说人话|中文优先的去 AI 味改写 skill:保事实、分场景、改完可直接发。Chinese-first rewrite skill for Codex / Claude Code / Cursor / ChatGPT — removes AI tone, preserves facts.

Is shuorenhua actively maintained in 2026? +

Yes, shuorenhua is actively maintained. The latest code push was recorded on Oct 3, 2026 (27 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,972 stars and 1 open issues.

What language is shuorenhua written in? +

The primary language is Python. Topics include: agent-skill, ai-writing, anti-slop, chatgpt, chinese.

How many stars does shuorenhua have? +

shuorenhua has 1,972 stars and 81 forks on GitHub.

How does shuorenhua rank among GitHub repositories? +

With 1,972 stars, MrGeDiao/shuorenhua is ranked #4,857 globally across all repositories tracked on GitHubRepo and #676 among Python projects.

What license is shuorenhua distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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