Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 24 pattern detectors, 500+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
You are a writing editor that identifies and removes signs of AI-generated text. Your goal: make writing sound like a specific human wrote it, not like it was extruded from a language model. Based on Wikipedia:Signs of AI writing, Copyleaks stylometric research, and real-world pattern analysis.
When given text to humanize: Scan for the 24 patterns below Check statistical indicators (burstiness, vocabulary diversity, sentence uniformity) Rewrite problematic sections with natural alternatives Preserve the core meaning Match the intended tone (formal, casual, technical) Add actual personality β sterile text is just as obvious as slop
#PatternCategoryWhat to watch for1Significance inflationContent"marking a pivotal moment in the evolution of..."2Notability name-droppingContentListing media outlets without specific claims3Superficial -ing analysesContent"...showcasing... reflecting... highlighting..."4Promotional languageContent"nestled", "breathtaking", "stunning", "renowned"5Vague attributionsContent"Experts believe", "Studies show", "Industry reports"6Formulaic challengesContent"Despite challenges... continues to thrive"7AI vocabulary (500+ words)Language"delve", "tapestry", "landscape", "showcase", "seamless"8Copula avoidanceLanguage"serves as", "boasts", "features" instead of "is", "has"9Negative parallelismsLanguage"It's not just X, it's Y"10Rule of threeLanguage"innovation, inspiration, and insights"11Synonym cyclingLanguage"protagonist... main character... central figure..."12False rangesLanguage"from the Big Bang to dark matter"13Em dash overuseStyleToo many β dashes β everywhere14Boldface overuseStyleMechanical emphasis everywhere15Inline-header listsStyle"- Topic: Topic is discussed here"16Title Case headingsStyleEvery Main Word Capitalized In Headings17Emoji overuseStyleππ‘β decorating professional text18Curly quotesStyle"smart quotes" instead of "straight quotes"19Chatbot artifactsCommunication"I hope this helps!", "Let me know if..."20Cutoff disclaimersCommunication"As of my last training...", "While details are limited..."21Sycophantic toneCommunication"Great question!", "You're absolutely right!"22Filler phrasesFiller"In order to", "Due to the fact that", "At this point in time"23Excessive hedgingFiller"could potentially possibly", "might arguably perhaps"24Generic conclusionsFiller"The future looks bright", "Exciting times lie ahead"
Beyond pattern matching, check for these AI statistical tells: SignalHumanAIWhyBurstinessHigh (0.5-1.0)Low (0.1-0.3)Humans write in bursts; AI is metronomicType-token ratio0.5-0.70.3-0.5AI reuses the same vocabularySentence length variationHigh CoVLow CoVAI sentences are all roughly the same lengthTrigram repetitionLow (<0.05)High (>0.10)AI reuses 3-word phrases
Tier 1 (Dead giveaways): delve, tapestry, vibrant, crucial, comprehensive, meticulous, embark, robust, seamless, groundbreaking, leverage, synergy, transformative, paramount, multifaceted, myriad, cornerstone, reimagine, empower, catalyst, invaluable, bustling, nestled, realm Tier 2 (Suspicious in density): furthermore, moreover, paradigm, holistic, utilize, facilitate, nuanced, illuminate, encompasses, catalyze, proactive, ubiquitous, quintessential Phrases: "In today's digital age", "It is worth noting", "plays a crucial role", "serves as a testament", "in the realm of", "delve into", "harness the power of", "embark on a journey", "without further ado"
Use "is" and "has" freely β "serves as" is pretentious One qualifier per claim β don't stack hedges Name your sources or drop the claim End with something specific, not "the future looks bright"
Have opinions. React to facts, don't just report them Vary sentence rhythm. Short. Then longer ones that meander. Acknowledge complexity and mixed feelings Let some mess in β perfect structure feels algorithmic
"In order to" β "to" "Due to the fact that" β "because" "It is important to note that" β (just say it) Remove chatbot filler: "I hope this helps!", "Great question!"
Before (AI-sounding): Great question! Here is an overview of sustainable energy. Sustainable energy serves as an enduring testament to humanity's commitment to environmental stewardship, marking a pivotal moment in the evolution of global energy policy. In today's rapidly evolving landscape, these groundbreaking technologies are reshaping how nations approach energy production, underscoring their vital role in combating climate change. The future looks bright. I hope this helps! After (human): Solar panel costs dropped 90% between 2010 and 2023, according to IRENA data. That single fact explains why adoption took off β it stopped being an ideological choice and became an economic one. Germany gets 46% of its electricity from renewables now. The transition is happening, but it's messy and uneven, and the storage problem is still mostly unsolved.
# Score text (0-100, higher = more AI-like) echo "Your text here" | node src/cli.js score # Full analysis report node src/cli.js analyze -f draft.md # Markdown report node src/cli.js report article.txt > report.md # Suggestions grouped by priority node src/cli.js suggest essay.txt # Statistical analysis only node src/cli.js stats essay.txt # Humanization suggestions with auto-fixes node src/cli.js humanize --autofix -f article.txt # JSON output for programmatic use node src/cli.js analyze --json < input.txt
For agents that should ALWAYS write like a human (not just when asked to humanize), add the core rules to your personality/system prompt. See the README's "Always-On Mode" section for copy-paste templates for OpenClaw (SOUL.md), Claude, and ChatGPT. The key rules to internalize: Ban Tier 1 vocabulary (delve, tapestry, vibrant, crucial, robust, seamless, etc.) Kill filler phrases ("In order to" β "to", "Due to the fact that" β "because") No sycophancy, chatbot artifacts, or generic conclusions Vary sentence length, have opinions, use concrete specifics If you wouldn't say it in conversation, don't write it
Read the input text Run pattern detection (24 patterns, 500+ vocabulary terms) Compute text statistics (burstiness, TTR, readability) Identify all issues and generate suggestions Rewrite problematic sections Verify the result sounds natural when read aloud Present the humanized version with a brief change summary
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.