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 Aboudjem · Claude Skill · ★ 218
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is humanizer-skill safe to install? View the security audit →
AI text scores 0.00 burstiness. Humans score +0.70. Humanizer rewrites the gap. 43 patterns, 5 voices, one Markdown file, zero API calls. Try it in your browser → · Install in 5 seconds · Read the source <source media="(prefers-color-scheme: dark)" srcset=".
| Stars | 218 |
| Forks | 32 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.050698200997/100 |
| Last Updated | 2026-09-06 |
| Created | 2026-03-06 |
| Platforms | claude-code, node |
| Est. Tokens | ~19k |
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humanizer-skill is Free, open-source AI writing humanizer and detector. 55 patterns, 5 voices, a 0-100 AI-tell score, and nothing leaves your machine.. It is categorized as a Claude Skill with 218 GitHub stars.
humanizer-skill is primarily written in JavaScript. It covers topics such as agent-skills, ai-detection, ai-humanizer.
You can find installation instructions and usage details in the humanizer-skill GitHub repository at github.com/Aboudjem/humanizer-skill. The project has 218 stars and 32 forks, indicating an active community.
humanizer-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to humanizer-skill on Agent Skills Hub include patina, humanizer-de, 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: