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phuryn/work-humanizer

A humanizer for work writing: takes the AI tone out without changing what your text says or commits to. Agent Skill + evidence: blind judges, hand-checked meaning changes, Pangram.

Python ◇ agent-skills MIT
★104STARS
⑂12FORKS
!0ISSUES
🏆#15,522GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,055

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

work-humanizer gained 10 stars in the last 30 days, about 1 a day, and now has 104. It is about 1 year old and has averaged roughly 104 stars a year. It ranks #2,055 among Python repositories and #15,522 across all languages on GitHubRepo.

Trending Record

work-humanizer has maintained a continuous presence across global trending indexes, peaking at #14103. Below is the 30-day activity profile:

💡 Overview

work-humanizer is an open-source project written in Python: A humanizer for work writing: takes the AI tone out without changing what your text says or commits to. Agent Skill + evidence: blind judges, hand-checked meaning changes, Pangram.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-detection, ai-writing. 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 work-humanizer

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

work-humanizer 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 work-humanizer.

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 work-humanizer using your package manager: `pip install work-humanizer`

2

Initialize your project workspace or configuration file for work-humanizer.

3

Import work-humanizer into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 104 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

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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

phuryn/work-humanizer is currently ranked #15,522 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#15,454 SII-fkchen/SOTER Python ★ 105 Compare ↗
#15,454 Greminn/ha-spatial-context JavaScript ★ 105 Compare ↗
#15,454 HeartingU/Dogicat_DMS Python ★ 105 Compare ↗
#15,454 vanzll/DiffusionART Python ★ 105 Compare ↗
#15,454 adityajha2005/yc-outreach Python ★ 105 Compare ↗
#15,522 phuryn/work-humanizer This Project Python ★ 104
#15,522 drnic/github-badges JavaScript ★ 104 Compare ↗
#15,522 evan/peep Ruby ★ 104 Compare ↗
#15,522 jcbagneris/fms-jcb Python ★ 104 Compare ↗
#15,522 apache/maven-scm Java ★ 104 Compare ↗
#15,522 openBliSSART/openBliSSART C++ ★ 104 Compare ↗
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Frequently Asked Questions

What does work-humanizer do? +

A humanizer for work writing: takes the AI tone out without changing what your text says or commits to. Agent Skill + evidence: blind judges, hand-checked meaning changes, Pangram.

What language is work-humanizer written in? +

The primary language is Python. Topics include: agent-skills, ai-detection, ai-writing, claude-code, claude-skills.

Is work-humanizer actively maintained? +

Yes, the last recorded push was on Oct 10, 2026 with 0 open issues being tracked.

How many stars does work-humanizer have? +

work-humanizer has 104 stars and 12 forks on GitHub.

How does work-humanizer rank among GitHub repositories? +

With 104 stars, phuryn/work-humanizer is ranked #15,522 globally across all repositories tracked on GitHubRepo and #2,055 among Python projects.

What license is work-humanizer distributed under? +

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

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