Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Transform AI-generated text into authentic human writing. Detects and removes 24 AI patterns, replaces 500+ AI vocabulary terms, analyzes statistical signals...
Transform AI-generated text into authentic human writing. Detects and removes 24 AI patterns, replaces 500+ AI vocabulary terms, analyzes statistical signals...
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.
Transform AI-generated text into authentic human writing by removing robotic patterns and injecting natural personality.
Core Capabilities: Detects 24 AI writing patterns (significance inflation, promotional language, filler phrases, etc.) Identifies 500+ AI vocabulary terms across 3 severity tiers Analyzes statistical signals (burstiness, type-token ratio, sentence uniformity) Removes chatbot artifacts and sycophantic tone NEW: Injects personality through parenthetical asides, strategic typos, tangents, and random thoughts Based on: Wikipedia's "Signs of AI writing", Copyleaks research, and real-world pattern analysis.
When asked to humanize text: Scan for patterns β Check all 24 patterns in references/patterns.md Check vocabulary β Flag Tier 1/2/3 terms from references/vocabulary.md Analyze statistics β Compute burstiness, TTR, sentence variance Rewrite β Remove AI-isms, add personality Verify β Read aloud, check if it sounds natural
Use the new personality injection features from references/personality-injection.md: Parenthetical asides β (honestly, this part gets me every time) Strategic misspellings β Natural typos that don't hurt credibility Tangents β "wait, that reminds me..." moments Random thoughts β Going off script with authentic reactions
Tier 1 vocabulary β DEAD GIVEAWAYS, ban completely (delve, tapestry, vibrant, seamless, etc.) Filler phrases β "in order to" β "to", "due to the fact that" β "because" Chatbot artifacts β "Great question!", "I hope this helps!", "Let me know if..." Generic conclusions β "The future looks bright", "Exciting times lie ahead"
Promotional language β If writing about places, products, services Significance inflation β If discussing history, events, milestones Vague attributions β If making claims without sources Em dash overuse β If text has many β dashes β everywhere
For comprehensive humanization or when scoring text: Read references/patterns.md β All 24 patterns with examples Read references/vocabulary.md β Complete AI term database Read references/statistical-signals.md β Burstiness, TTR, readability formulas Read references/personality-injection.md β How to add human touches
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 vague optimism
Have opinions β React to facts, don't just report them Vary rhythm β Short. Then longer ones that meander a bit. Acknowledge complexity β "I genuinely don't know how to feel about this" Let mess in β Perfect structure feels algorithmic Use contractions β "don't", "won't", "it's" (natural speech) Sentence fragments β When it makes sense. Like this.
Remove these automatically: "In order to" β "to" "Due to the fact that" β "because" "At this point in time" β "now" "It is important to note that" β (just say it) "In the event that" β "if"
For full details with examples, see references/patterns.md. #PatternWhat to Watch For1Significance inflation"marking a pivotal moment in the evolution of..."2Notability name-droppingListing media outlets without specific claims3Superficial -ing analyses"...showcasing... reflecting... highlighting..."4Promotional language"nestled", "breathtaking", "stunning", "renowned"5Vague attributions"Experts believe", "Studies show", "Industry reports"6Formulaic challenges"Despite challenges... continues to thrive"7AI vocabulary (500+ words)"delve", "tapestry", "landscape", "showcase"8Copula avoidance"serves as", "boasts" instead of "is", "has"9Negative parallelisms"It's not just X, it's Y"10Rule of three"innovation, inspiration, and insights"11Synonym cycling"protagonist... main character... central figure..."12False ranges"from the Big Bang to dark matter"13Em dash overuseToo many β dashes β everywhere14Boldface overuseMechanical emphasis everywhere15Inline-header lists"- Topic: Topic is discussed here"16Title Case headingsEvery Main Word Capitalized17Emoji overuseππ‘β decorating professional text18Curly quotes"smart quotes" instead of "straight quotes"19Chatbot artifacts"I hope this helps!", "Let me know if..."20Cutoff disclaimers"As of my last training...", "While details are limited..."21Sycophantic tone"Great question!", "You're absolutely right!"22Filler phrases"In order to", "Due to the fact that"23Excessive hedging"could potentially possibly", "might arguably"24Generic conclusions"The future looks bright", "Exciting times lie ahead"
delve, tapestry, vibrant, crucial, comprehensive, meticulous, embark, robust, seamless, groundbreaking, leverage, synergy, transformative, paramount, multifaceted, myriad, cornerstone, reimagine, empower, catalyst, invaluable, bustling, nestled, realm
furthermore, moreover, paradigm, holistic, utilize, facilitate, nuanced, illuminate, encompasses, catalyze, proactive, ubiquitous, quintessential
landscape (abstract), journey (metaphorical), ecosystem, framework, roadmap, touchpoint, pain point, streamline, optimize, scalable See references/vocabulary.md for the complete 500+ term database.
Check these when doing comprehensive analysis: SignalHumanAIWhyBurstiness0.5-1.00.1-0.3Humans write in bursts; AI is metronomicType-token ratio0.5-0.70.3-0.5AI reuses vocabularySentence length CoVHighLowAI makes same-length sentencesTrigram repetition<0.05>0.10AI reuses 3-word phrases See references/statistical-signals.md for formulas and implementation.
When asked to add human touches or make text sound less perfect:
Add authentic reactions in parentheses: (honestly, this part gets me every time) (which, let's be real, is kind of absurd) (I still don't fully understand why) Rule: Use for genuine reactions, not filler. 1-3 per 500 words max.
Natural typos that don't hurt credibility: Acceptable: "teh" β "the", "recieve" β "receive", "definately" β "definitely" Avoid: Professional contexts, names, technical terms, key claims Rule: 1-2 per 1000 words in casual contexts only.
Let thoughts wander naturally: "Speaking of which..." "That reminds me..." "Okay, slight tangent..." "Wait, this connects to..." Rule: Allow 1-2 per longer piece (1000+ words).
Inject authentic human processing: "Honestly didn't think this would work but..." "I keep coming back to..." "There's something unsettling about..." "I genuinely don't know how to feel about this" Rule: Use when genuine uncertainty or strong reaction fits. See references/personality-injection.md for comprehensive examples and context guidance.
Read the input text carefully Identify all pattern instances (use the 24-pattern checklist) Flag vocabulary issues (Tier 1 = remove, Tier 2 = reduce, Tier 3 = watch density) Check statistics (if comprehensive analysis requested) Rewrite problematic sections Add personality (if requested or if text is sterile) Verify naturally (read aloud, check rhythm) Present humanized version with brief change summary
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!
Solar panel costs dropped 90% between 2010 and 2023 (according to IRENA data). That single fact explains why adoption took offβit 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.
Removed "Great question!" and "I hope this helps!" (chatbot artifacts) Removed "serves as an enduring testament" (significance inflation) Removed "marking a pivotal moment" (AI vocabulary) Removed "rapidly evolving landscape" (AI vocabulary) Removed "groundbreaking", "underscoring", "vital" (AI vocabulary) Removed "The future looks bright" (generic conclusion) Added specific data points and sources Added personal observation (parenthetical) Added acknowledgment of complexity Varied sentence rhythm
The scripts/humanize.js tool provides command-line access: # Score text (0-100, higher = more AI-like) node scripts/humanize.js score "Your text here" # Full analysis report node scripts/humanize.js analyze -f draft.md # Humanization suggestions node scripts/humanize.js suggest article.txt # Auto-fix common patterns node scripts/humanize.js fix --autofix -f article.txt
To make this skill's rules your default writing style (not just when explicitly asked to humanize): Ban Tier 1 vocabulary completely from all writing Kill filler phrases automatically 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 These rules can be added to SOUL.md or agent personality config for permanent application.
Start with Tier 1 vocabulary β Easiest wins, most obvious AI tells Check for em dashes β Quick scan for β overuse Read the last paragraph β Generic conclusions are common Listen to rhythm β Read aloud, hear if it sounds robotic Don't over-polish β Some imperfection is human Match the context β Formal documents need different treatment than social posts Preserve meaning β Remove patterns without changing core message
Text still sounds robotic after fixing patterns? β You removed AI tells but didn't add personality. Review references/personality-injection.md. Humanization made text too casual? β Personality injection should match context. Use fewer asides/typos in formal writing. Text is TOO perfect now? β Add strategic imperfection: vary sentence length, include a tangent, acknowledge uncertainty. Not sure if a word is AI vocabulary? β Check references/vocabulary.md. When in doubt, ask "Would I say this in conversation?"
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.