Human-AI

Overview

Rewrites English text to sound human, natural, and undetectable by AI detection tools. Combines pattern detection (43 patterns across 3 tiers), statistical measurement (burstiness, TTR, entropy), and voice injection into a single iterative skill with scoring. Built on research from the RAID Benchmark (ACL 2024), NeurIPS 2023, and real-world testing that proved vocabulary bans alone FAIL — structural paraphrasing is what actually beats detectors.

Companion to the humanizar skill (PT-BR). For Portuguese text, use humanizar.

When to Use

• English text sounds generic, bland, or AI-generated
• Requests like “humanize”, “de-slop”, “remove AI patterns”, “make it sound human”
• Bypass AI detectors (GPTZero, Originality.ai, Copyleaks, Turnitin)
• Agent pipelines generating English content
• Review another agent’s output before publishing

What Makes It Different

Feature	blader/humanizer	brandonwise/humanizer	human-ai
Patterns	29	28 + statistical	43 (incl. P31-P43 emerging 2026)
Iterative scoring	❌	❌	✅ 0-100 with loop
Metrics script	❌	❌	✅ scripts/measure.py
Voice presets	❌	❌	7 presets
Anti-synonym-swap	❌	❌	✅ Structural rewrite enforced
Empirical baselines	❌	Partial	✅ SSRN + GPTZero + NeurIPS

Operation Modes

Mode	When to use	Result
full_mode	Default — “humanize this”	Metrics + diagnosis + rewrite + scoring
direct_mode	Pipelines or “humanize quick”	Final version + synthetic report
review_mode	Audit text from another agent	Aggressive rewrite + before/after metrics

Installation

npx skills add https://github.com/fabricioctelles/skills --skill human-ai

Research Foundation

Source	Finding
RAID Benchmark (ACL 2024)	Structural paraphrasing drops DetectGPT from 70.3% → 4.6%
humanizerai.com (2026)	Vocabulary bans HURT performance by 43 percentage points
GPTZero	Burstiness (sentence length variance) is the primary detection signal
SSRN	Human TTR: 0.553 vs AI: 0.455
NeurIPS 2023	Human intrinsic dimensionality ~9 vs AI ~7.5
Washington Post	“It’s not X, it’s Y” = #1 AI tell across 328K messages

Changelog

v1.0 (Jul 2026)

• Initial release with 43 patterns (P1-P43), including 13 emerging from 2026
• 3 operation modes with iterative scoring (0-100) and strategy fallback
• 7 voice presets (Essay, Journalistic, Academic, Corporate, Social, Casual, Legal, Instructional)
• scripts/measure.py for deterministic metric calculation (zero dependencies)
• 7 documented gotchas from real operational failures
• Empirical baselines calibrated from published research
• Bidirectional cross-reference with humanizar skill (PT-BR)
• Based on blader/humanizer, brandonwise/humanizer, and Aboudjem/humanizer-skill

📄 Full documentation on GitHub