Best static AI text humanizer. Two research-grounded LLM-agnostic skills that make AI writing sound human and relatable. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.

[AAAI 2025 oral] Official repository of Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Detect and eliminate AI writing patterns in your content. This Claude Code plugin performs multi-tier analysis of character patterns, language cues, structural issues, and voice authenticity. Auto-fix em dashes, smart quotes, and emojis. Keep documentation and prose sounding genuinely human.

This project aims to address this gap by conducting a systematic, controlled study of human versus LLM-generated text detectability using paired question–answer datasets. Rather than proposing a novel detection architecture, the focus is on analyzing detection robustness, failure modes, and the impact of adversarial humanization strategies.

한글 AI 글 윤문·탐지 Claude Code 플러그인 — AI가 쓴 한국어를 사람처럼 윤문하고 AI 작성 여부를 진단

AI detection on your hardware

Professional text refinement, AI detection, and style conversion services. 专业文本润色、AI检测和风格转换服务

6-class text authorship detection pipeline for human and LLM-generated text using TF-IDF, stylometric features, and stacked scikit-learn/LightGBM models for the MALTO Hackathon 2026 (F1: 0.9393).

Catch AI code mistakes before they ship — 50+ checks for hallucinated APIs, stub functions, hardcoded secrets, and SQL injection. SARIF output for GitHub Code Scanning.

🎲 Detect whether a GitHub repo's code was likely written by an LLM. Zero dependencies. Scores repos 0-100 using commit velocity, session analysis, burst detection, message patterns, and project-scale plausibility.

Browser-based LLM stylometric fingerprinting

Quantifying the linguistic fingerprint of large language models

Proof of concept tool to bypass document replay technology (such as GPTZero).

Projects concerning LLMs, prompting, NLP, webscraping, data aquisition and dataset analysis.

Python tool for simple comparison check on generated code vs suspected generated code.

The official repository for our ACL 2025 paper, "Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection"

A unified tool for testing and using LLM detectors

Block AI-slop PRs, crypto-airdrop spam, and drive-by farming accounts on your GitHub repo - automatically.

Detecting AI coding assistance in famous OSS contributors — style drift analysis across 10 developers