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AI Writing Detector (ai-check)

Runs a forensic, evidence-cited scan of any text across nine AI-tell categories and returns a 0–27 score with a verdict and fixes.

Content & WritingBeginner★ 605⑂ 69AI score 10/10Last updated: Sep 22, 2026

What it does

  • Scores text 0–3 on nine signal categories: word predictability, sentence-length uniformity (burstiness), hedge density, structural tells, specificity deficit, transition fingerprints, punctuation fingerprints (em dashes, semicolons, mid-sentence colons), voice/register, and rhetorical scaffolding.
  • Converts the 0–27 total into a verdict (Human → AI) plus a confidence level and a fixed report layout.
  • Separately estimates the AI-edited fraction (pure human → pure AI), which handles the common real case of a human editing an AI draft.
  • Produces an evidence log where every fired signal must cite an exact quote and severity, and adds concrete rewrite suggestions when the score exceeds 6.
  • Ships a very specific pattern library: banned vocabulary, "In conclusion" closers, double em-dash wrapping, announcement sentences ("What surprised me was…"), tricolons, chiasmus closers, Slack register collapse, templated email sign-offs.

Who it's for

  • Writers, marketers and newsletter authors de-AI-ifying drafts before publishing
  • Content editors humanizing LLM output at scale
  • Teachers and reviewers who want a reasoned breakdown instead of a black-box percentage
  • Anyone whose Slack updates or work emails read like a status report

Example uses

  1. Paste a blog draft: "run ai-check on this" → score, verdict, and a quote-by-quote evidence log.
  2. "What gives this LinkedIn post away as AI?" → it flags things like "Turns out…", "it's not X, it's Y", and symmetric tricolons.
  3. Check a team Slack update → catches the accomplishment → caveat → next-steps arc and overly well-formed sentences hiding under lmk and ~60%.

Caution: verdicts are heuristic, not proof of authorship. Confidence drops sharply for short texts, non-English writing, and iteratively paraphrased content — and some cited papers should be verified before quoting them.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/harshaneel/humanize/HEAD/plugins/humanize/skills/ai-check/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the plugins/humanize/skills/ai-check folder from the GitHub repo harshaneel/humanize into my ~/.claude/skills/harshaneel-ai-check/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/harshaneel/humanize.git && mkdir -p ~/.claude/skills && cp -r humanize/plugins/humanize/skills/ai-check ~/.claude/skills/ai-check

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, PowerShell on Windows).
  2. Create the skills directory: mkdir -p ~/.claude/skills
  3. Clone the repo: git clone https://github.com/harshaneel/humanize.git
  4. Copy just this skill: cp -r humanize/plugins/humanize/skills/ai-check ~/.claude/skills/ai-check
  5. Verify that ~/.claude/skills/ai-check/SKILL.md exists.
  6. Restart Claude Code, then say "run ai-check on this" and paste the text you want analyzed.
  7. (Optional) For project-only use, copy the folder into your project's .claude/skills/ directory instead.
View source on GitHub ↗License: MIT