Humanizer for Openclaw

A sophisticated text editing utility that strips away recognizable AI-generated writing patterns to produce natural, human-sounding content.

lion504
v1.0.0
Feb 25, 2026
0
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install humanizer-1-0-0

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install humanizer-1-0-0 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Humanizer?

The Humanizer skill is an advanced editing tool designed to bridge the gap between robotic LLM drafts and authentic human prose. Developed using insights from Wikipedia's AI Cleanup project, it systematically identifies and rectifies common robotic signatures such as inflated symbolism, repetitive sentence structures, and overused AI vocabulary like delve, tapestry, or pivotal.

By leveraging Openclaw Skills, this tool does more than just delete cliches; it focuses on injecting personality and soul into the writing. It encourages varied sentence rhythms, acknowledgments of complexity, and the use of a first-person perspective where appropriate. This ensures that your output resonates with readers rather than feeling like algorithmically generated slop.

Humanizer Use Cases

  • Refactoring AI-generated technical documentation to improve readability and developer trust.
  • Polishing marketing copy to remove promotional fluff and vague, unsourced attributions.
  • Converting robotic email or blog drafts into conversational, natural-sounding messages.
  • Auditing large sets of content to remove common AI artifacts like excessive em dashes or rule-of-three groupings.
  • Adding human-like nuance and opinion to dry, neutral reports.

How Humanizer Works

  1. Scans the input text for specific linguistic signatures including present-participle phrases, vague authorities, and inflated significance.
  2. Identifies high-frequency AI vocabulary and repetitive structural patterns like negative parallelisms.
  3. Evaluates the rhythm of the text to detect monotonous sentence lengths typical of machine output.
  4. Rewrites problematic sections by substituting simple verbs for elaborate constructions and adding concrete details.
  5. Injects soul into the content by varying the voice, acknowledging uncertainty, and removing collaborative artifacts like "I hope this helps."

Humanizer Setup

The Humanizer is an integrated part of the Openclaw Skills ecosystem. No complex external installation is required if your agent environment is already configured.

# Ensure your agent has access to the skill definition
# Place humanizer.md in your designated skills directory

Once active, you can invoke the skill by providing a text block or file path to your agent with the instruction to humanize the content.

Humanizer Data Schema & Taxonomy

The Humanizer skill processes text-based data and outputs refined Markdown or plain text. It categorizes its analysis based on the following taxonomy:

Category Patterns Monitored Mitigation Strategy
AI Vocabulary delve, enhance, pivotal, tapestry Replace with direct, active language
Structural Tells Rule of three, Em dash overuse Simplify and vary sentence structure
Inflated Claims "testament to", "evolving landscape" Use specific facts and data points
Style Artifacts Emojis, Curly quotes, Title Case Standardize to clean, human-preferred formats

Humanizer Advanced Features

  • Context-Aware Tone Matching: Adjusts the humanization process based on whether the target is formal, technical, or casual.
  • Soul Injection: Automatically inserts first-person perspectives and nuanced opinions to break algorithmic neutrality.
  • Batch Processing: Uses Glob and Grep tools to scan and humanize entire directories of documentation simultaneously.
  • Interactive Refinement: Utilizes AskUserQuestion to confirm intended meaning before rewriting ambiguous sections.
  • Wikipedia-Standard Alignment: Stays updated with the latest AI writing signs documented by the WikiProject AI Cleanup.

SKILL.md


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