humanize-ai-text

Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero, Turnitin, and Originality.ai. Based on Wikipedia's comprehensive "Signs of AI Writing" guide. Makes robotic AI writing undetectable and human-like.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "humanize-ai-text" with this command: npx skills add moltbro/humanize-ai-text

Humanize AI Text

Comprehensive CLI for detecting and transforming AI-generated text to bypass detectors. Based on Wikipedia's Signs of AI Writing.

Quick Start

# Detect AI patterns
python scripts/detect.py text.txt

# Transform to human-like
python scripts/transform.py text.txt -o clean.txt

# Compare before/after
python scripts/compare.py text.txt -o clean.txt

Detection Categories

The analyzer checks for 16 pattern categories from Wikipedia's guide:

Critical (Immediate AI Detection)

CategoryExamples
Citation Bugsoaicite, turn0search, contentReference
Knowledge Cutoff"as of my last training", "based on available information"
Chatbot Artifacts"I hope this helps", "Great question!", "As an AI"
Markdown**bold**, ## headers, code blocks

High Signal

CategoryExamples
AI Vocabularydelve, tapestry, landscape, pivotal, underscore, foster
Significance Inflation"serves as a testament", "pivotal moment", "indelible mark"
Promotional Languagevibrant, groundbreaking, nestled, breathtaking
Copula Avoidance"serves as" instead of "is", "boasts" instead of "has"

Medium Signal

CategoryExamples
Superficial -ing"highlighting the importance", "fostering collaboration"
Filler Phrases"in order to", "due to the fact that", "Additionally,"
Vague Attributions"experts believe", "industry reports suggest"
Challenges Formula"Despite these challenges", "Future outlook"

Style Signal

CategoryExamples
Curly Quotes"" instead of "" (ChatGPT signature)
Em Dash OveruseExcessive use of — for emphasis
Negative Parallelisms"Not only... but also", "It's not just... it's"
Rule of ThreeForced triplets like "innovation, inspiration, and insight"

Scripts

detect.py — Scan for AI Patterns

python scripts/detect.py essay.txt
python scripts/detect.py essay.txt -j  # JSON output
python scripts/detect.py essay.txt -s  # score only
echo "text" | python scripts/detect.py

Output:

  • Issue count and word count
  • AI probability (low/medium/high/very high)
  • Breakdown by category
  • Auto-fixable patterns marked

transform.py — Rewrite Text

python scripts/transform.py essay.txt
python scripts/transform.py essay.txt -o output.txt
python scripts/transform.py essay.txt -a  # aggressive
python scripts/transform.py essay.txt -q  # quiet

Auto-fixes:

  • Citation bugs (oaicite, turn0search)
  • Markdown (**, ##, ```)
  • Chatbot sentences
  • Copula avoidance → "is/has"
  • Filler phrases → simpler forms
  • Curly → straight quotes

Aggressive (-a):

  • Simplifies -ing clauses
  • Reduces em dashes

compare.py — Before/After Analysis

python scripts/compare.py essay.txt
python scripts/compare.py essay.txt -a -o clean.txt

Shows side-by-side detection scores before and after transformation


Workflow

  1. Scan for detection risk:

    python scripts/detect.py document.txt
    
  2. Transform with comparison:

    python scripts/compare.py document.txt -o document_v2.txt
    
  3. Verify improvement:

    python scripts/detect.py document_v2.txt -s
    
  4. Manual review for AI vocabulary and promotional language (requires judgment)


AI Probability Scoring

RatingCriteria
Very HighCitation bugs, knowledge cutoff, or chatbot artifacts present
High>30 issues OR >5% issue density
Medium>15 issues OR >2% issue density
Low<15 issues AND <2% density

Customizing Patterns

Edit scripts/patterns.json to add/modify:

  • ai_vocabulary — words to flag
  • significance_inflation — puffery phrases
  • promotional_language — marketing speak
  • copula_avoidance — phrase → replacement
  • filler_replacements — phrase → simpler form
  • chatbot_artifacts — phrases triggering sentence removal

Batch Processing

# Scan all files
for f in *.txt; do
  echo "=== $f ==="
  python scripts/detect.py "$f" -s
done

# Transform all markdown
for f in *.md; do
  python scripts/transform.py "$f" -a -o "${f%.md}_clean.md" -q
done

Reference

Based on Wikipedia's Signs of AI Writing, maintained by WikiProject AI Cleanup. Patterns documented from thousands of AI-generated text examples.

Key insight: "LLMs use statistical algorithms to guess what should come next. The result tends toward the most statistically likely result that applies to the widest variety of cases."

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

aicade-create-service

Use when registering, updating, querying, or disabling aicade service-management APIs under /services, especially when preparing service metadata, billing, r...

Registry SourceRecently Updated
General

Huo15 Openclaw Enhance

火一五·克劳德·龙虾增强插件 v6.0.0 — npm 包改名 @huo15/openclaw-enhance → @huo15/huo15-openclaw-enhance(与 huo15-* 命名规范对齐 + 让 ClawHub 重新创建干净的 plugin entry,绕开老 slug 1.3.0-5.1....

Registry SourceRecently Updated
General

Xiaohongshu Creator Marketplace (Pugongying) Creator Core Metrics API

Call GET /api/xiaohongshu-pgy/api/pgy/kol/data/core_data/v1 for Xiaohongshu Creator Marketplace (Pugongying) Creator Core Metrics through JustOneAPI with use...

Registry SourceRecently Updated
General

Xiaohongshu Creator Marketplace (Pugongying) Creator Search API

Call GET /api/xiaohongshu-pgy/api/solar/cooperator/blogger/v2/v1 for Xiaohongshu Creator Marketplace (Pugongying) Creator Search through JustOneAPI.

Registry SourceRecently Updated