No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by harshaneel · Claude Skill · ★ 347
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is humanize safe to install? View the security audit →
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](#the-detection-literature-what-resear
| Stars | 347 |
| Forks | 39 |
| Language | HTML |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71.7103440788088/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-10 |
| Created | 2026-05-26 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~24k |
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humanize is 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.. It is categorized as a Claude Skill with 347 GitHub stars.
humanize is primarily written in HTML. It covers topics such as ai-content-detection, ai-detection, ai-humanizer.
You can find installation instructions and usage details in the humanize GitHub repository at github.com/harshaneel/humanize. The project has 347 stars and 39 forks, indicating an active community.
humanize is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to humanize on Agent Skills Hub include humanizer-cli, patina, humanizer-ru. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: