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 blader · Codex Skill · ★ 52.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is humanizer safe to install? View the security audit →
Featured in: Humanizer & Anti-Slop Skills
Humanizer A skill for Claude Code and OpenCode that removes signs of AI-generated writing from text, making it sound more natural and human. Installation Claude Code Clone directly into Claude Code's skills directory: Or copy the skill file manually if you already have this repo cloned: OpenCode Clone directly into OpenCode's skills directory: Or copy the skill file manually if you already have this repo cloned: Note: OpenCode also scans for compatibility, so a single clone into works for both tools. Usage Claude Code OpenCode Or ask the model to humanize text directly in either tool: Voice Calibration To match your personal writing style, provide a sample of your own writing: /humanizer Here's a sample of my writing for voice matching: [paste 2-3 paragraphs of your own writing] Now humanize this text
| Stars | 52,701 |
| Forks | 4,205 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.2368068073211/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-28 |
| Created | 2026-01-18 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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humanizer is Agent skill that removes signs of AI-generated writing from text. It is categorized as a Codex Skill with 52.7k GitHub stars.
humanizer is primarily written in Python. It covers topics such as agent-skills, ai-humanizer, ai-writing.
You can find installation instructions and usage details in the humanizer GitHub repository at github.com/blader/humanizer. The project has 52.7k stars and 4205 forks, indicating an active community.
humanizer is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to humanizer on Agent Skills Hub include ai-guide, awesome-claude-skills, planning-with-files. 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: