DraftCheck AI-writing linter MCP server

DraftCheck

Formerly SlopScore. Same product, new name after a naming clash.

Find the patterns that make writing read as AI-generated, and fix them before you publish.

DraftCheck scans text for 20+ habits of machine-written prose: "it's not X, it's Y" contrasts, dramatic one-line closers, "let's dive in" openers, inflated significance ("a pivotal moment"), AI vocabulary ("delve", "seamless", "leverage"), em-dash overuse, bold-label bullet lists, and chatbot leftovers like "I hope this helps!". It returns a 0-100 score and points at every match with a short fix.

It's a linter, not a detector. It doesn't guess who wrote a text. It shows you the specific sentences readers will notice.

• Web app (free, runs in your browser): https://slopscore-nine.vercel.app
• Pattern guides with examples: https://slopscore-nine.vercel.app/patterns/

CLI

npx github:kburrus64-max/draftcheck README.md docs/

(Not on npm yet as draftcheck. The unscoped slopscore name on npm belongs to a different project. Install from GitHub: npm i -D github:kburrus64-max/draftcheck. The slopscore CLI bin remains as an alias.)

FAIL  71  Pure slop        docs/launch-post.md
           1: Chatbot residue: "Great question"
           3: Not X, but Y: "this isn't just a tool, it's"
           3: Inflated significance: "marks a pivotal moment"
ok     4  Reads human      docs/install.md

Options:

Code blocks, inline code, front matter, URLs and HTML tags are ignored, so READMEs with examples don't get flagged for their code. Read from stdin with -.

GitHub Action

name: DraftCheck
on:
  pull_request:
    paths: ["**/*.md", "docs/**", "content/**"]
jobs:
  slop:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: kburrus64-max/draftcheck@v1
        with:
          paths: "docs content README.md"
          max: "40"

Each match shows up as an annotation on the changed line. The check fails when a file goes over max.

Agent skill

DraftCheck ships as an Agent Skill for Claude Code, Cursor, Codex and other agents that read SKILL.md files. The skill tells the agent to score its draft, rewrite only the flagged spans, and re-check:

npx skills add kburrus64-max/draftcheck

As a Claude Code plugin (skill plus the hosted MCP server), from inside Claude Code:

/plugin marketplace add kburrus64-max/draftcheck
/plugin install draftcheck@draftcheck

Cursor can load the same repo as a plugin through .cursor-plugin/plugin.json.

Prompt-only writing skills such as humanizer and no-ai-slop tell an agent what to avoid; DraftCheck gives it a deterministic check to run afterwards.

Library

import { analyze, PATTERNS } from "draftcheck";

const r = analyze("Great question! Let's dive in.", { ignoreQuoted: false });
r.score;    // 0-100
r.label;    // "Reads human" | "A little sloppy" | "Sloppy" | "Pure slop"
r.matches;  // [{ id, label, category, start, end, text, hint }]

No dependencies. Works in Node 18+ and the browser.

How scoring works

Shortened. The full README is on GitHub.