humanize-ai
Humanize AI content by detecting and auto-fixing AI generated content. Humanize AI text using Python scripts. Scans for AI vocabulary, puffery, chatbot artifacts, and auto-replaces filler phrases. Use when you want to analyze text in AI detector and bypass it in future, batch-process files, run automated cleanup, or get a report before manual humanizing.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/artur-zhdan/humanize-aiWhat This Skill Does
The humanize-ai skill is a powerful toolkit for transforming robotic, AI-generated text into natural, human-like prose. Designed as a set of CLI scripts, it works by scanning documents for common AI linguistic fingerprints—such as repetitive filler phrases, excessive puffery, and standard chatbot sign-offs—and performing intelligent, automated replacements. The tool operates in two distinct phases: analysis and transformation. The analysis engine provides a comprehensive report of "AI-isms" within your content, while the humanization engine applies systematic repairs to improve flow, remove redundant modifiers, and strip away the tell-tale markers that often trigger AI detection systems. By managing these patterns through a modular configuration file, users gain granular control over the tone and style of their writing, ensuring content remains engaging while minimizing the artificial feel associated with LLM-generated output.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/artur-zhdan/humanize-ai
Ensure you have Python installed, as the utility relies on native Python 3 execution for its pattern-matching algorithms.
Use Cases
This skill is ideal for content creators, copywriters, and developers who need to produce high volumes of AI-assisted content without sacrificing quality. Common use cases include batch-cleaning technical documentation to improve readability, prepping AI-drafted marketing copy for human review, refining blog posts to bypass automated detection systems, and standardizing corporate communications. It is particularly effective for teams managing massive libraries of documentation where consistency and a natural, authentic "human" voice are paramount.
Example Prompts
- "OpenClaw, run the analyze script on draft_v1.txt and provide a list of all detected AI-vocabulary and filler phrases."
- "Humanize the contents of marketing_copy.txt and save the cleaned version to marketing_final.txt while including the em-dash fix."
- "Can you batch process all text files in the project folder to remove chatbot artifacts and ensure the language sounds more natural?"
Tips & Limitations
While the humanize-ai tool is highly effective at stripping away common artifacts, it should not be treated as a "fix-all" for poor quality writing. The best results are achieved when the output of the humanize.py script is followed by a manual human review, specifically for flagged "puffery" items that require contextual judgment. Use the analyze.py report to identify where your prose feels repetitive, and treat those flags as prompts for rewriting rather than relying solely on auto-replacements. Always verify the resulting tone after batch processing large documents to ensure your specific brand voice has not been neutralized.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-artur-zhdan-humanize-ai": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write, code-execution
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