Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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.
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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Command-line tools for detecting and auto-fixing AI writing 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
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.
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
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
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
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.