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jaydenlm

Humanize Ai Text 1.0.0.1

by jayden · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install humanize-ai-text-1-0-0-1
Description
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
README (SKILL.md)

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)

Category Examples
Citation Bugs oaicite, 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

Category Examples
AI Vocabulary delve, tapestry, landscape, pivotal, underscore, foster
Significance Inflation "serves as a testament", "pivotal moment", "indelible mark"
Promotional Language vibrant, groundbreaking, nestled, breathtaking
Copula Avoidance "serves as" instead of "is", "boasts" instead of "has"

Medium Signal

Category Examples
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

Category Examples
Curly Quotes "" instead of "" (ChatGPT signature)
Em Dash Overuse Excessive use of — for emphasis
Negative Parallelisms "Not only... but also", "It's not just... it's"
Rule of Three Forced 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

Rating Criteria
Very High Citation bugs, knowledge cutoff, or chatbot artifacts present
High >30 issues OR >5% issue density
Medium >15 issues OR >2% issue density
Low \x3C15 issues AND \x3C2% 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."

Usage Guidance
This skill is technically coherent: the scripts implement exactly what the README says and operate only on local files (no network calls or credentials). Before installing, consider: 1) Ethical/legal risk — the tool explicitly helps evade AI-detectors (could violate school/employer policies or service TOS). 2) Source verification — no homepage and the metadata ownerId mismatch is a minor red flag; prefer code from a known, trusted publisher. 3) Audit patterns.json and the scripts yourself (they're small and human-readable) to confirm there are no hidden behaviors. 4) Test in a sandbox or limited environment first. If you intend legitimate uses (e.g., improving writing quality), document that and avoid using the tool to bypass policy or rules.
Capability Analysis
Type: OpenClaw Skill Name: humanize-ai-text-1-0-0-1 Version: 1.0.0 The skill bundle is a legitimate text processing utility designed to identify and rewrite AI-generated text patterns based on Wikipedia's 'Signs of AI Writing' documentation. The Python scripts (detect.py, transform.py, and compare.py) perform local string manipulation and regex replacements using a static patterns.json file. There is no evidence of data exfiltration, network activity, shell execution, or malicious prompt injection instructions.
Capability Assessment
Purpose & Capability
The name/description (humanize AI text to bypass detectors) match the included scripts (detect.py, transform.py, compare.py) and patterns.json. The required surface (no env vars, no external binaries) is proportional. Minor packaging inconsistency: _meta.json.ownerId differs from the registry owner ID in the metadata — likely benign but worth verifying the publisher.
Instruction Scope
SKILL.md and the scripts instruct the agent to read/write local text files, scan for patterns, and rewrite content to reduce detector signals. The instructions do not request unrelated files, system credentials, or network endpoints. However, the explicit runtime objective is to bypass AI detectors — a clear misuse vector (academic dishonesty, terms-of-service evasion) even though it stays within the technical scope described.
Install Mechanism
No install spec or external downloads. All code is packaged in the skill and operates locally; there are no remote fetches, archive extraction, or registry installs to review.
Credentials
No environment variables, credentials, or config paths are required. The scripts only read local files (text and patterns.json) and write outputs; requested access is minimal and proportional.
Persistence & Privilege
The skill does not request always:true and has no mechanism to persist or modify other skills or global agent settings. It runs on demand and only interacts with files the user provides.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install humanize-ai-text-1-0-0-1
  3. After installation, invoke the skill by name or use /humanize-ai-text-1-0-0-1
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the "humanize-ai-text" skill. - Provides a CLI toolkit to detect and transform AI-generated text, making it natural and less likely to trigger AI detectors like GPTZero, Turnitin, and Originality.ai. - Analyzer checks for 16 pattern categories based on Wikipedia’s "Signs of AI Writing." - Features detection, transformation, and comparison scripts with options for aggressive rewriting and detailed AI probability scoring. - Includes customizable detection patterns and supports batch processing for multiple documents.
Metadata
Slug humanize-ai-text-1-0-0-1
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Humanize Ai Text 1.0.0.1?

Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,... It is an AI Agent Skill for Claude Code / OpenClaw, with 108 downloads so far.

How do I install Humanize Ai Text 1.0.0.1?

Run "/install humanize-ai-text-1-0-0-1" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Humanize Ai Text 1.0.0.1 free?

Yes, Humanize Ai Text 1.0.0.1 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Humanize Ai Text 1.0.0.1 support?

Humanize Ai Text 1.0.0.1 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Humanize Ai Text 1.0.0.1?

It is built and maintained by jayden (@jaydenlm); the current version is v1.0.0.

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