blader/humanizer: README-based editorial guide
A guide grounded in the README, repository metadata, and license for installing and checking blader/humanizer.
Project scope
blader/humanizer describes itself in the README as "Agent skill that removes signs of AI-generated writing from text". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "Humanizer", the README says: A portable agent skill that removes signs of AI-generated writing from text, making it sound more natural and human. It is plain Markdown, so it can run in any harness that supports skill-style instructions.. That establishes the project's stated boundary, not a production test.
Suitable use cases
The README's "References" section gives a useful starting point for deciding whether the project fits: WikiProject AI Cleanup - Maintaining organization. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: Wikipedia: Signs of AI writing - Primary source. It can shape a first test, but it does not replace testing in the intended environment.
How it works
The operating model is spread across sections such as "Skills CLI". The source evidence includes: To install globally into every supported agent harness:. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.
Installation and first run
Start installation from the README's documented entry point. A command that can be checked in the source is: git clone https://github.com/blader/humanizer.git /path/to/your/skills/humanizer When the README contains no runnable command, this article does not invent one. Open its "Installation" section and confirm system dependencies, default ports, and first-run initialization before using a public server.