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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.

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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.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/humanize.py, scripts/patterns.json, scripts/analyze.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Humanize CLI

Command-line tools for detecting and auto-fixing AI writing patterns.

analyze.py — Detect AI Patterns

Scans text and reports AI vocabulary, puffery, chatbot artifacts, and auto-replaceable phrases. # Analyze a file python scripts/analyze.py input.txt # Analyze from stdin echo "This serves as a testament to our commitment" | python scripts/analyze.py # JSON output for programmatic use python scripts/analyze.py input.txt --json Output example: ================================================== AI PATTERN ANALYSIS - 5 issues found ================================================== AI VOCABULARY: • testament: 1x • crucial: 2x AUTO-REPLACEABLE: • "serves as" → "is": 1x • "in order to" → "to": 1x

humanize.py — Auto-Replace Patterns

Performs automatic replacements for common AI-isms. # Humanize and print to stdout python scripts/humanize.py input.txt # Write to output file python scripts/humanize.py input.txt -o output.txt # Include em dash replacement python scripts/humanize.py input.txt --fix-dashes # Quiet mode (no change log) python scripts/humanize.py input.txt -q What it fixes automatically: Filler phrases: "in order to" → "to", "due to the fact that" → "because" Copula avoidance: "serves as" → "is", "boasts" → "has" Sentence starters: removes "Additionally,", "Furthermore,", "Moreover," Curly quotes → straight quotes Chatbot artifacts: removes "I hope this helps", "Let me know if", etc.

Workflow

Analyze first to see what needs fixing: python scripts/analyze.py document.txt Auto-fix safe replacements: python scripts/humanize.py document.txt -o document_clean.txt Manual review for AI vocabulary and puffery flagged by analyze (these require human judgment) Re-analyze to confirm improvements: python scripts/analyze.py document_clean.txt

Customizing Patterns

Edit scripts/patterns.json to add/remove: ai_words — vocabulary that flags but doesn't auto-replace puffery — promotional language to flag replacements — phrase → replacement mappings (empty string = delete) chatbot_artifacts — phrases to auto-remove hedging_phrases — excessive hedging to flag

Batch Processing

Process multiple files: # Analyze all markdown files for f in *.md; do echo "=== $f ===" python scripts/analyze.py "$f" done # Humanize all txt files in place for f in *.txt; do python scripts/humanize.py "$f" -o "$f.tmp" && mv "$f.tmp" "$f" done

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Scripts1 Docs1 Config
  • SKILL.md Primary doc
  • scripts/analyze.py Scripts
  • scripts/humanize.py Scripts
  • scripts/patterns.json Config