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BytesAgain β€Ί Skills β€Ί Humanize Ai Text
πŸ¦€ ClawHub

Humanize Ai Text

by @cp3d1455926-svg

Detect and remove AI-generated writing patterns to rewrite text for a more natural, human-written style with diagnostic reports and version comparison.

Versionv1.0.1
Downloads737
#writing#legal
TERMINAL
clawhub install humanize-ai-text-cp3d

πŸ“– About This Skill

name: humanize-ai-text description: Remove signs of AI-generated writing from text. Detects AI vocabulary, puffery, and chatbot artifacts. author: @biostartechnology version: 1.0.0 license: MIT metadata: {"clawdbot":{"emoji":"✍️","requires":{"bins":["python3"]}}}

Humanize AI Text

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written.

Based on Wikipedia's comprehensive "Signs of AI writing" guide.

Features

  • AI Detection: Identifies 16 pattern categories of AI-generated text
  • Pattern Categories:
    • - Citation bugs - Knowledge-cutoff phrases - Chatbot artifacts - Markdown/code remnants - AI-specific vocabulary - Filler phrases - Punctuation quirks - Stylistic parallelisms - Inflated symbolism - Promotional language - Superficial -ing analyses - Vague attributions - Em dash overuse - Rule of three - Negative parallelisms - Excessive conjunctive phrases

  • Diagnostic Reports: Generate detailed AI detection reports
  • Text Transformation: Rewrite text to sound more human
  • Comparison Mode: Compare original vs humanized versions

    • Usage

    Detect AI Writing

    # Basic detection
python skills/humanize-ai-text/scripts/detect.py text.txt
    JSON output
    
python skills/humanize-ai-text/scripts/detect.py text.txt -j
    Score only
    
python skills/humanize-ai-text/scripts/detect.py text.txt -s
    Pipe text directly
    
echo "This text might be AI-generated" | python skills/humanize-ai-text/scripts/detect.py

    Transform Text

    # Basic transformation
python skills/humanize-ai-text/scripts/transform.py text.txt
    Output to file
    
python skills/humanize-ai-text/scripts/transform.py text.txt -o clean.txt
    Aggressive mode (more changes)
    
python skills/humanize-ai-text/scripts/transform.py text.txt -a
    Quiet mode (no progress output)
    
python skills/humanize-ai-text/scripts/transform.py text.txt -q

    Compare Versions

    # Compare original and transformed
python skills/humanize-ai-text/scripts/compare.py text.txt
    Compare and save result
    
python skills/humanize-ai-text/scripts/compare.py text.txt -o document_v2.txt

    Installation

    The skill is already installed. To use it, ensure you have Python 3 installed.

    Dependencies

    No external dependencies required - uses Python standard library.

    Pattern Detection

    The detection script identifies these AI writing patterns:

    1. Citation Bugs

  • Fake or unverifiable sources
  • "According to experts" without specifics
  • Generic study references

    • 2. Knowledge Cutoff

  • "As of my last update"
  • "I don't have real-time information"
  • Date-stamped limitations

    • 3. Chatbot Artifacts

  • "I'd be happy to help"
  • "Great question!"
  • "Let me break this down"
  • Excessive hedging

    • 4. AI Vocabulary

  • "delve into"
  • "testament to"
  • "in conclusion"
  • "it's worth noting"
  • "important to understand"

    • 5. Filler Phrases

  • Unnecessary introductions
  • Redundant summaries
  • Padding content

    • 6. Stylistic Issues

  • Rule of three overuse
  • Negative parallelisms
  • Em dash overuse
  • Excessive conjunctive phrases

    • Best Practices

    1. Detect First: Run detection before transformation 2. Review Changes: Always review transformed text 3. Use Compare: Compare versions to understand changes 4. Iterate: May need multiple passes for best results 5. Custom Patterns: Edit patterns.json to add custom detections

    Customization

    Add Custom Patterns

    Edit skills/humanize-ai-text/scripts/patterns.json:

    {
  "custom_patterns": {
    "my_pattern": {
      "regex": "pattern_here",
      "replacement": "replacement_text",
      "description": "What this pattern detects"
    }
  }
}

    Batch Processing

    Process multiple files:

    for f in *.md; do
  python skills/humanize-ai-text/scripts/detect.py "$f" -s
  python skills/humanize-ai-text/scripts/transform.py "$f" -a -o "${f%.md}_clean.md" -q
done

    Output Formats

    Detection Output

    AI Detection Report
===================
File: text.txt
AI Probability: 73%
    Patterns Detected:

  • AI Vocabulary: 12 instances
    • 

  • Filler Phrases: 8 instances
    • 

  • Stylistic Parallelisms: 5 instances
    • 
...

    Transformation Output

    Original: "I'd be happy to delve into this important topic."
Humanized: "Let's explore this topic."

    Security Notes

  • βœ… No external network calls
  • βœ… All processing done locally
  • βœ… No credential access
  • βœ… Safe file operations only
  • βœ… No data exfiltration

    • Integration

    With Writing Workflow

    1. Write draft (AI-assisted or not) 2. Run detection to check AI score 3. Transform if score is high 4. Compare versions 5. Manual review and final edits

    With Content Pipeline

    # In CI/CD or pre-commit hook
python skills/humanize-ai-text/scripts/detect.py content.md -s

    Fail if AI score > threshold

    Troubleshooting

    False Positives

    Some legitimate writing may trigger patterns. Review manually.

    False Negatives

    AI models evolve. Update patterns.json regularly.

    Encoding Issues

    Ensure files are UTF-8 encoded: 

    python skills/humanize-ai-text/scripts/detect.py file.txt --encoding utf-8

    Examples

    Example 1: Blog Post

    # Check AI score
python skills/humanize-ai-text/scripts/detect.py blog_post.md -s

    Output: AI Probability: 68%
    Transform
    
python skills/humanize-ai-text/scripts/transform.py blog_post.md -o blog_post_clean.md -a
    Compare
    
python skills/humanize-ai-text/scripts/compare.py blog_post.md -o blog_post_clean.md

    Example 2: Email

    echo "I hope this email finds you well. I wanted to reach out regarding..." | \
  python skills/humanize-ai-text/scripts/detect.py

    Example 3: Academic Writing

    # Detect AI patterns in paper
python skills/humanize-ai-text/scripts/detect.py paper.md -j > report.json
    Transform with conservative settings
    
python skills/humanize-ai-text/scripts/transform.py paper.md -o paper_clean.md

    Resources

  • Wikipedia: "Signs of AI writing"
  • Original research on AI text detection
  • Community pattern contributions

    • *For more info, visit: https://clawhub.ai/biostartechnology/humanizer*

    πŸ’‘ Examples

    Example 1: Blog Post

    # Check AI score
python skills/humanize-ai-text/scripts/detect.py blog_post.md -s

    Output: AI Probability: 68%
    Transform
    
python skills/humanize-ai-text/scripts/transform.py blog_post.md -o blog_post_clean.md -a
    Compare
    
python skills/humanize-ai-text/scripts/compare.py blog_post.md -o blog_post_clean.md

    Example 2: Email

    echo "I hope this email finds you well. I wanted to reach out regarding..." | \
  python skills/humanize-ai-text/scripts/detect.py

    Example 3: Academic Writing

    # Detect AI patterns in paper
python skills/humanize-ai-text/scripts/detect.py paper.md -j > report.json
    Transform with conservative settings
    
python skills/humanize-ai-text/scripts/transform.py paper.md -o paper_clean.md

    πŸ“‹ Tips & Best Practices

    1. Detect First: Run detection before transformation 2. Review Changes: Always review transformed text 3. Use Compare: Compare versions to understand changes 4. Iterate: May need multiple passes for best results 5. Custom Patterns: Edit patterns.json to add custom detections