49.6k stars · MIT · v3.0.0, read from /releases/latest, shown as '06 Sep' with no year and therefore 6 September 2026. Code pushed 6 September 2026, proved via ungh.cc · Track this in Scout
An agent skill built around twenty-five named patterns of machine-sounding prose, which rewrites text to remove them while keeping the meaning.
▶Repo detailsthe review · specs · pros & cons · install
What it is
An agent skill built around twenty-five named patterns of artificial writing, grouped and ordered by how strong and how common each one is. You give it text and it gives back a rewrite, and it can match a sample of your own writing if you give it one.What it is good for. Anyone who publishes text that a model helped write. That is a large share of everything published now. The useful part is not the rewrite; it is the list. Once you have read the twenty-five patterns you start catching them while you write, which is worth more than the tool. If you draft posts for grasppy.com or scripts for the channel with a model, this is the step between the draft and the publish button.
- MIT, free, and there is nothing to run: it is a Markdown file the assistant reads.
- It can match your voice from samples you provide, rather than flattening everything into one house style.
- The pattern list is readable on its own and teaches you something.
- It rewrites, so it can change your meaning. Read the result rather than pasting it straight out.
- It is tuned for English. It will not help the Russian half of your channel.
- Removing the signs of machine writing is not the same as making the writing good. A clear, wrong sentence is still wrong.
vale-cli/valePublished in Edition 10. It checks prose against rules you write yourself, and it reports problems instead of rewriting anything.
Track this in Scout- amperser/proselint
It checks English prose against advice from well-known editors, and it is about weak writing in general rather than machine writing in particular.
Track this in Scout
npx skills add blader/humanizer --global
