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description=AI skill for rewriting machine-generated text to sound human-written across 9 languages - 5-stage pipeline: cleanup → specificity → tone → rhythm → proofread. - MADEVAL/HumanAI;

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Text of the page (random words):
nup specificity tone rhythm proofread github skip to content navigation menu toggle navigation sign in appearance settings platform ai code creation github copilot write better code with ai github copilot app direct agents from issue to merge mcp registry new integrate external tools developer workflows actions automate any workflow codespaces instant dev environments issues plan and track work code review manage code changes code quality enforce quality at merge application security github advanced security find and fix vulnerabilities code security secure your code as you build secret protection stop leaks before they start explore why github documentation blog changelog marketplace view all features solutions by company size enterprises small and medium teams startups nonprofits by use case app modernization devsecops devops ci cd view all use cases by industry healthcare financial services manufacturing government view all industries view all solutions resources explore by topic ai software development devops security view all topics explore by type customer stories events webinars ebooks reports business insights github skills support services documentation customer support community forum trust center partners view all resources open source community github sponsors fund open source developers programs security lab maintainer community accelerator github stars archive program repositories topics trending collections enterprise enterprise solutions enterprise platform ai powered developer platform available add ons github advanced security enterprise grade security features copilot for business enterprise grade ai features premium support enterprise grade 24 7 support pricing search or jump to search code repositories users issues pull requests search clear search syntax tips provide feedback we read every piece of feedback and take your input very seriously include my email address so i can be contacted cancel submit feedback saved searches use saved searches to filter your results more quickly name query to see all available qualifiers see our documentation cancel create saved search sign in sign up appearance settings resetting focus you signed in with another tab or window reload to refresh your session you signed out in another tab or window reload to refresh your session you switched accounts on another tab or window reload to refresh your session dismiss alert message madeval humanai public notifications you must be signed in to change notification settings fork 18 star 53 code issues 0 pull requests 0 actions projects security and quality 0 insights additional navigation options code issues pull requests actions projects security and quality insights madeval humanai main branches tags go to file code open more actions menu folders and files name name last commit message last commit date latest commit history 21 commits 21 commits github workflows github workflows examples examples scenarios scenarios scripts scripts shared shared tests benchmark tests benchmark gitattributes gitattributes gitignore gitignore changelog md changelog md contributing md contributing md eval md eval md known_limitations md known_limitations md license license plan md plan md readme md readme md readme ru md readme ru md skill md skill md view all files repository files navigation readme contributing mit license more items human ai text humanization engine english русский if the reader forgets a machine was involved you won an ai skill system that rewrites machine generated text to sound human written across 9 languages detects and removes ai fingerprints through a 5 stage pipeline what is this human ai is a system prompt skill for any llm gpt claude gemini deepseek or any capable model it transforms ai generated text that smells like ai into text that reads like a competent human wrote it ai writes with a fingerprint same rhythm same structure same burned words same dead perfection human ai strips that fingerprint not by making text less ai but by making it more human how it works load skill md as a system prompt into any llm give a task rewrite this to sound human language de make this a case study en just clean the ai patterns get output with language detected tone set pipeline stages applied and changelog three modes full pipeline 5 stages cleanup specificity tone rhythm proofread every text passes through flexible skip stages with declared reason single stage run just one stage cleanup only specificity only rhythm only etc audit mode diagnostic scan only don t rewrite flag all ai patterns found the 5 stage pipeline anti ai cleanup specificity tone rhythm proofread stage what it does skip if 1 cleanup remove ai patterns openers burned words fake transitions hedging conclusions no ai patterns found 2 specificity replace abstractions with concrete details numbers examples all claims rung 2 3 tone set the voice 7 profiles tone already correct 4 rhythm break metronome vary sentence length openers fragments rhythm already varied 5 proofread final scan for residual ai tells always runs minimal scan 7 tone profiles tone voice best for expert the practitioner technical docs deep analysis biz the consultant b2b proposals service pages human the smart friend blog posts about pages emails social the scroller linkedin twitter x telegram landing the seller product pages sales pages article the explainer long form guides tutorials case the case study portfolio success stories each tone has per language markers fragment frequencies conjunction rules formality levels cultural notes 9 languages language ai markers burned words tone notes english russian русский ukrainian українська german deutsch french français spanish español portuguese português italian italiano polish polski architecture natural skill skill md main orchestrator full pipeline readme md readme ru md this documentation shared burned words md all burned words 9 languages ai markers md detection patterns 9 languages tone profiles md 7 tones 9 languages specificity ladder md abstraction concrete framework rhythm tables md sentence flow parameters cultural matrix md per language cultural norms 9 language template md template for adding new languages scripts automation scripts validate ps1 integrity checker powershell validate sh integrity checker bash morph check ps1 morphological word validator readability check ps1 readsightpy readability validator clause check ps1 clause count validator zerogpt detect ps1 zerogpt ai detection powershell zerogpt detect sh zerogpt ai detection bash run benchmark ps1 external benchmark runner powershell run benchmark sh external benchmark runner bash run eval ps1 external eval md llm evaluation tests benchmark evaluation dataset annotations json zerogpt results json zerogpt external validation results ai texts 9 languages human texts edge cases scenarios task specific playbooks full rewrite md default the full pipeline 5 stages blog post md blog post humanization landing page md landing page humanization social post md social media post seo article md seo content humanization case study md case study portfolio commercial offer md b2b commercial offer email md email humanization technical doc md technical documentation translation fix md de translation make it sound native press release md press release media announcement internal memo md internal company memo grant proposal md grant proposal funding application creative writing md creative writing light touch product update md product update changelog examples annotated before after examples en blog post md en landing md en social md ru blog post md ru landing md ru social md uk blog post md uk social md de blog post md de email md fr blog post md fr social md es blog post md es landing md it blog post md it landing md pt blog post md pt social md pl blog post md pl social md quick start full pipeline rewrite this text to sound human language ru specific task load scenario rewrite this as a landing page de single stage only just clean the ai patterns from this add concrete details don t change the tone fix the rhythm it reads like a machine audit only tell me what s wrong with this don t rewrite translation fix this was translated from russian to english make it sound native example request rewrite this ai generated blog post intro to sound human en input in today s fast paced digital landscape businesses are increasingly leveraging cutting edge ai solutions to optimize their workflows and streamline operations this comprehensive guide will explore the transformative power of artificial intelligence output lang en tone human pipeline cleanup specificity tone rhythm proofread quality 94 100 most ai tools promise to save time they don t they just move the work around we tested twelve of them over three months four actually helped the rest added meetings dashboards and a new slack channel you didn t ask for here s what the four good ones have in common and why the other eight failed changelog deleted in today s fast paced digital landscape opener burned words removed leveraging cutting edge optimize streamline transformative comprehensive specificity added twelve tools three months four helped tone human direct opinionated fragment opener rhythm clause mix with high variance more examples in examples requirements any capable llm with a system prompt custom instructions field for full skill functionality a skill system that loads files from a folder opencode claude code for standalone copy skill md as system prompt contains complete pipeline external validation zerogpt api key optional for independent ai detection scoring via scripts run benchmark ps1 quality validation human ai provides three layers of quality verification layer method independence how to run 1 self eval stage 5 6 quality score llm self assessment built into pipeline 2 eval md 5 metric llm evaluation separate llm call eval md prompt 3 zerogpt external api detection fully independent scripts run benchmark ps1 zerogpt external validation set api key env zerogpt_api_key your key single text check s cripts z erogpt detect ps1 file output md full benchmark run all test texts s cripts r un benchmark ps1 maxtexts 10 delayseconds 2 dry run see what would be tested s cripts r un benchmark ps1 skipapi results saved to tests benchmark zerogpt results json installation opencode natural skill opencode skills project config opencode skills global claude code natural skill claude skills any llm standalone copy contents of skill md as system prompt add shared files for richer per language detail ethics always flag invented numbers with verify preserve factual content only change presentation declare all changes in changelog never invent facts statistics testimonials or customer names silently correct factual inaccuracies flag them in factual notes rewrite legal medical or safety critical text integration human ai is designed to work with two other skills rankwise seo content engine and mindfluence cognitive bias marketing together they form a complete content production pipeline joint prompt triggers human ai recognizes these joint prompts and activates preservation rules automatically seo rewrite this rankwise then humanize it humanai humanize the rankwise output below humanai pass on rankwise content mindfluence generated this now humanize it with humanai triple pipeline rankwise mindfluence humanai with rankwise seo the rule rankwise handles seo structure humanai handles human voice do not break seo preservation rules when processing rankwise content do not delete or alter h2 h3 headings that contain seo keywords only rewrite the sentences surrounding them preserve keyword density of 0 8 1 5 if keyword instances are removed during cleanup add equivalent keyword adjacent language elsewhere maintain minimum 600 words unless user explicitly requests shorter keep internal link anchors and placement they are deliberately positioned for seo during stage 1 cleanup skip deletion of keywords internal links and schema relevant elements meta title description already seo optimized do not humanize them conflict resolution rankwise vs humanai instincts preserve keyword placement k2 k4 k6 k8 highest priority preserve heading structure c13 second priority then apply human voice cleanup accept 5 density fluctuation as acceptable trade off seo safe markers do not delete during cleanup keywords in the first 100 150 words keywords in h2 headings keywords in image alt texts if present internal link anchor text variety exact match 2 meta title and description recommended pipeline invocation pipeline cleanup skipped seo structure specificity tone rhythm proofread with mindfluence cognitive bias marketing the rule mindfluence engineers persuasion humanai humanizes the voice do not strip psychological structure tone mapping mindfluence humanai mindfluence tone humanai tone bold sell landing expert calm expert rebel edgy social warm human human luxe minimal case preservation rules when processing mindfluence content do not strip bias markers social proof numbers anchoring prices authority signals scarcity cues confirmation hooks do not delete power words that overlap with burned word lists they serve a psychological function do not break hook openings they are deliberately patterned for system 1 capture preserve social proof specificity 14 327 users this week is a bias marker not fluff during stage 1 cleanup skip cleanup of persuasion elements only remove generic ai patterns throat clearing hedging fake transitions recommended pipeline invocation preserving mindfluence tone pipeline cleanup skipped bias structure specificity tone skipped mindfluence tone rhythm proofread triple pipeline rankwise mindfluence humanai recommended order and protocol rankwise brief seo structure keyword placement heading hierarchy link plan mindfluence cognitive bias copy within the seo skeleton section by section bias annotations humanai humanize the voice while preserving both seo signals and bias structure rankwise audit final 49 factor verification triple pipeline preservation checklist for humanai preserve from why keyword containing h2 h3 headings rankwise seo hierarchy breaks if altered internal link anchors rankwise deliberate link juice structure keyword density 0 8 1 5 rankwise under over triggers ranking penalties social proof numbers mindfluence 14 327 users bias not fluff anchoring pricing figures mindfluence reference points for value perception authority signals mindfluence named sources credentials media logos scarcity urgency cues mindfluence genuine time quantity limits power words both serve seo sentiment bias function minimum word count 600 rankwise thin content penalty threshold joint triple prompt template triple pipeline 1 rankwise seo brief for topic keyword kw language xx 2 mindfluence generate from that brief tone expert calm warm human bold sell 3 humanai humanize the mindfluence output preserve seo structure bias markers 4 rankwise audit the final result...