Humanize – two LLM-agnostic skills to rewrite and detect AI text
The article discusses two new LLM-agnostic skills designed for rewriting and detecting AI-generated text. These skills, named 'humanize' and 'ai-check', can be installed across various LLM agents with a single command. They utilize a rule-based approach to enhance text humanization and conduct forensic analysis of AI-generated signals.
- ▪The 'humanize' skill rewrites text to sound more human by applying nine humanization levers.
- ▪The 'ai-check' skill analyzes text for AI-generation signals and provides a confidence score along with evidence.
- ▪Both skills are static and do not require runtime dependencies, making them easy to install across multiple agents.
Opening excerpt (first ~120 words) tap to expand
humanize LLM-agnostic skills for static AI text humanization and detection. Grounded in 50+ peer-reviewed sources through April 2026. Works in any LLM agent: Claude Code, Codex CLI, ChatGPT, Gemini, Cursor, Aider, OpenCode, Continue, Copilot. The install paths differ; the skill content is identical. Contents Get started What's inside — the two skills, at a glance Installation — one command for Claude Code, Codex CLI, ChatGPT desktop, or any agent Usage — how to invoke each skill Benchmark — 25 inputs, two independent scorers Why the skills work Background — the gap between AI and human writing The detection literature — perplexity, burstiness, stylometry, discourse Detection methodology taxonomy — zero-shot, classifier, watermarking, hybrid Adversarial findings — what evasion techniques…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.