Humanizer

Low
by biostartechnology | Audited: 2026-02-26T09:59:20.936Z | Ruleset: 0.2.0

Quick Install

Add this skill to your agent

clawhub install humanizer

About This Skill

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. Detects and fixes patterns including:
inflated symbolism, promotional language, superficial -ing analyses, vague
attributions, em dash overuse, rule of three, AI vocabulary words, negative
parallelisms, and excessive conjunctive phrases.

Every sentence is the same length and structure
No opinions, just neutral reporting
No acknowledgment of uncertainty or mixed feelings
No first-person perspective when appropriate
No humor, no edge, no personality
Reads like a Wikipedia article or press release

Use Cases

Documentation (Original)

Source: README.md
The following is the author's original documentation (often English). For installation, follow “Quick Install” above.

Humanizer

A Clawdbot skill that removes signs of AI-generated writing from text, making it sound more natural and human.

Installation

Install via ClawdHub:

clawdhub install humanizer

Usage

Ask your agent to humanize text:

Please humanize this text: [your text]

Or invoke directly when editing documents.

Overview

Based on Wikipedia's "Signs of AI writing" guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generated text.

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."

24 Patterns Detected

Content Patterns

  1. Significance inflation - "marking a pivotal moment..." → specific facts
  2. Notability name-dropping - listing sources without context
  3. Superficial -ing analyses - "symbolizing... reflecting..."
  4. Promotional language - "nestled within the breathtaking..."
  5. Vague attributions - "Experts believe..."
  6. Formulaic challenges - "Despite challenges... continues to thrive"

Language Patterns

  1. AI vocabulary - "Additionally... testament... landscape..."
  2. Copula avoidance - "serves as" instead of "is"
  3. Negative parallelisms - "It's not just X, it's Y"
  4. Rule of three - forcing ideas into groups of three
  5. Synonym cycling - excessive synonym substitution
  6. False ranges - "from X to Y" on non-meaningful scales

Style Patterns

  1. Em dash overuse
  2. Boldface overuse
  3. Inline-header lists
  4. Title Case Headings
  5. Emoji decoration
  6. Curly quotation marks

Communication Patterns

  1. Chatbot artifacts - "I hope this helps!"
  2. Cutoff disclaimers - "While details are limited..."
  3. Sycophantic tone - "Great question!"

Filler and Hedging

  1. Filler phrases - "In order to", "Due to the fact that"
  2. Excessive hedging - "could potentially possibly"
  3. Generic conclusions - "The future looks bright"

Full Example

Before (AI-sounding):

The new software update serves as a testament to the company's commitment to innovation. Moreover, it provides a seamless, intuitive, and powerful user experience—ensuring that users can accomplish their goals efficiently.

After (Humanized):

The software update adds batch processing, keyboard shortcuts, and offline mode. Early feedback from beta testers has been positive, with most reporting faster task completion.

References

License

MIT

Security Audit

Low

Summary

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. Detects and fixes patterns including:
inflated symbolism, promotional language, superficial -ing analyses, vague
attributions, em dash overuse, rule of three, AI vocabulary words, negative
parallelisms, and excessive conjunctive phrases.

Risk Profile Toxicity Privacy Scope Reputation Quality

ToxicSkills Analysis

Blocklist
Not matched
Prompt Injection
Not detected

No Toxic signals detected by current static checks.

Key Risks 0 items

No LLM risk bullets (LLM disabled or not cached).

Deterministic Findings (Evidence)

Rule Severity File Snippet
QUALITY_README_PRESENT low README Line n/a
README detected

Scoring Criteria

Each skill is scored across 5 dimensions. The weighted total determines the star rating.

Code Toxicity 100/100 (weight 30%)
Privacy Risk 100/100 (weight 25%)
Permission Scope 100/100 (weight 20%)
Author Reputation 75/100 (weight 15%)
Code Quality 78/100 (weight 10%)

Star Rating Scale

5★ Safe — Score ≥ 80
4★ Good — Score 70–79
3★ Caution — Score 60–69
2★ Risky — Score 40–59
1★ Dangerous — Score < 40

Why This Score?

All dimensions scored above 60. This skill passed the safety baseline.

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