humanizer — Claude 必备 Skill中文文档 是 AI Skill Hub 本期精选AI工具之一。在 GitHub 上收获超过 20.4k 颗 Star，综合评分 9.4 分，整体质量较高。我们强烈推荐将其纳入你的 AI 工具库，帮助提升工作效率。
humanizer — Claude 必备 Skill中文文档 是一款基于 Python 开发的开源工具，专注于 claude-skill 等核心功能。作为 GitHub 开源项目，它拥有活跃的社区支持和持续的版本迭代，代码完全透明可审计，支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流，都能提供稳定可靠的解决方案。
humanizer — Claude 必备 Skill中文文档 是一款基于 Python 开发的开源工具，专注于 claude-skill 等核心功能。作为 GitHub 开源项目，它拥有活跃的社区支持和持续的版本迭代，代码完全透明可审计，支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流，都能提供稳定可靠的解决方案。
# 克隆仓库 git clone https://github.com/blader/humanizer cd humanizer # 查看安装说明 cat README.md # 按 README 完成环境依赖安装后即可使用
# 查看帮助 humanizer --help # 基本运行 humanizer [options] <input> # 详细使用说明请查阅文档 # https://github.com/blader/humanizer
# humanizer 配置说明 # 查看配置选项 humanizer --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量（覆盖配置文件） export HUMANIZER_CONFIG="/path/to/config.yml"
A skill for Claude Code and OpenCode that removes signs of AI-generated writing from text, making it sound more natural and human.
Based on Wikipedia's "Signs of AI writing" guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generated text.
The skill also includes a final "obviously AI generated" audit pass and a second rewrite, to catch lingering AI-isms in the first draft.
Before (AI-sounding): > Great question! Here is an essay on this topic. I hope this helps! > > AI-assisted coding serves as an enduring testament to the transformative potential of large language models, marking a pivotal moment in the evolution of software development. In today's rapidly evolving technological landscape, these groundbreaking tools—nestled at the intersection of research and practice—are reshaping how engineers ideate, iterate, and deliver, underscoring their vital role in modern workflows. > > At its core, the value proposition is clear: streamlining processes, enhancing collaboration, and fostering alignment. It's not just about autocomplete; it's about unlocking creativity at scale, ensuring that organizations can remain agile while delivering seamless, intuitive, and powerful experiences to users. The tool serves as a catalyst. The assistant functions as a partner. The system stands as a foundation for innovation. > > Industry observers have noted that adoption has accelerated from hobbyist experiments to enterprise-wide rollouts, from solo developers to cross-functional teams. The technology has been featured in The New York Times, Wired, and The Verge. Additionally, the ability to generate documentation, tests, and refactors showcases how AI can contribute to better outcomes, highlighting the intricate interplay between automation and human judgment. > > - 💡 Speed: Code generation is significantly faster, reducing friction and empowering developers. > - 🚀 Quality: Output quality has been enhanced through improved training, contributing to higher standards. > - ✅ Adoption: Usage continues to grow, reflecting broader industry trends. > > While specific details are limited based on available information, it could potentially be argued that these tools might have some positive effect. Despite challenges typical of emerging technologies—including hallucinations, bias, and accountability—the ecosystem continues to thrive. In order to fully realize this potential, teams must align with best practices. > > In conclusion, the future looks bright. Exciting times lie ahead as we continue this journey toward excellence. Let me know if you’d like me to expand on any section!
After (Humanized): > AI coding assistants can speed up the boring parts of the job. They're great at boilerplate: config files and the little glue code you don't want to write. They can also help you sketch a test, but you still have to read it. > > The dangerous part is how confident the suggestions look. I've accepted code that compiled and passed lint, then discovered later it missed the point because I stopped paying attention. > > If you treat it like autocomplete and review every line, it's useful. If you use it to avoid thinking, it will help you ship bugs faster. > > The only real backstop is tests. Without them, you're mostly judging vibes.
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一，可自由商用、修改、分发，仅需保留版权声明。
经综合评估，humanizer — Claude 必备 Skill中文文档 在AI工具赛道中表现稳健，质量优秀。如果你已有明确的使用需求，可以直接上手体验；如果还在评估阶段，建议对比同类工具后再做决策。
| 原始名称 | humanizer |
| 原始描述 | Claude Code skill that removes signs of AI-generated writing from text |
| Topics | claude-skill |
| GitHub | https://github.com/blader/humanizer |
| License | MIT |
收录时间：2026-05-22 · 更新时间：2026-05-22 · License：MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。