[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCB64GP738S723CQ3R2Q4R":3,"skill-same:01M6DCB64GP738S723CQ3R2Q4R":72},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":14,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6DCB64GP738S723CQ3R2Q4R","agentic-humanizer",null,"Use when the user invokes \u002Fagentic-humanizer or asks to humanize AI-generated text via a 5-pass rewrite with optional voice-matching and (when Slop or Not Pro is available) detector scoring and readability checks ; do NOT use for mere AI-detection without rewriting (use slop-check) ; returns humanized text with optional readability stats.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-humanizer\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"agentic humanizer","agentic","humanizer","check","scoring","humanize","do","ai-detection","opencode","use","cursor","generated","cli","text","Bash","stats","code","codex","github","gemini","2026-11-10 10:12:30",false,"---\nname: agentic-humanizer\ndescription: Use when the user invokes \u002Fagentic-humanizer or asks to humanize AI-generated text via a 5-pass rewrite with optional voice-matching and (when Slop or Not Pro is available) detector scoring and readability checks ; do NOT use for mere AI-detection without rewriting (use slop-check) ; returns humanized text with optional readability stats.\nlicense: MIT\nallowed-tools:\n- Read\n- Bash\n- AskUserQuestion\nmetadata:\n  version: 0.1.0\n  compatibility: claude-code codex cursor gemini-cli opencode\n  source: https:\u002F\u002Fgithub.com\u002Fnumen-tech\u002Fslopornot\n  upstream_author: Numen Technologies\n---\n\n# Agentic Humanizer\n\nA 5-pass AI humanizer. It always runs the core rewrite workflow; Slop or Not\nPro adds measured on-device AI detector checks.\n\n- **Without Slop or Not:** runs the full rewrite workflow.\n- **With Slop or Not Pro:** adds on-device AI detector scoring, readability, Text Cleanup, and\n  cleanup stats.\n\n**Slash command:** `\u002Fagentic-humanizer [paste text]`\n\n**Inline overrides:** `\u002Fagentic-humanizer dialect=us|uk grade=N tone=casual|professional|academic length=±10|exp|trim threshold=N max=N voice=\u002Fpath\u002Fto\u002Ffile.txt|off voice-skip skip-interview [paste]`\n\n## What this skill does\n\n1. Detects the host harness (Claude Code, Codex, Cursor, Gemini CLI,\n   OpenCode, or generic).\n2. Handles profile and voice management commands before any rewrite.\n3. Resolves rewrite preferences from inline overrides, saved profile, or the\n   harness interview.\n4. Optionally resolves a writing sample and extracts a cached stylometric\n   fingerprint. Voice matching does not require Slop or Not.\n5. Probes whether Slop or Not Pro is reachable via MCP or CLI.\n6. Runs the 5-pass humanization workflow:\n   - Core mode logs unscored iterations.\n   - Slop or Not Pro runs Text Cleanup, detection, and readability checks.\n7. Returns the final text, loop history, highest-impact edits, and, when Slop\n   cleanup ran, a Text Cleanup summary.\n\n## Step 1: Detect the harness\n\nIdentify which harness is running by checking for the harness's distinctive\nquestion tool. Use the first match:\n\n| Harness | Distinctive tool present? | Read this file |\n\n### Step 2: Profile management commands\n### Step 3: Resolve rewrite preferences\n### Step 4: Resolve voice sample\n### Step 5: Probe Slop or Not Pro\n### Step 6: Run the loop\n### Slop or Not Pro setup\n### Core setup\n### Cleanup stats parsing\n### Termination with Slop or Not Pro\n### Completion in Core mode\n### Mid-flight Pro-gate\n","# Agentic Humanizer\n\nA 5-pass AI humanizer. It always runs the core rewrite workflow; Slop or Not\nPro adds measured on-device AI detector checks.\n\n- **Without Slop or Not:** runs the full rewrite workflow.\n- **With Slop or Not Pro:** adds on-device AI detector scoring, readability, Text Cleanup, and\n  cleanup stats.\n\n**Slash command:** `\u002Fagentic-humanizer [paste text]`\n\n**Inline overrides:** `\u002Fagentic-humanizer dialect=us|uk grade=N tone=casual|professional|academic length=±10|exp|trim threshold=N max=N voice=\u002Fpath\u002Fto\u002Ffile.txt|off voice-skip skip-interview [paste]`\n\n## What this skill does\n\n1. Detects the host harness (Claude Code, Codex, Cursor, Gemini CLI,\n   OpenCode, or generic).\n2. Handles profile and voice management commands before any rewrite.\n3. Resolves rewrite preferences from inline overrides, saved profile, or the\n   harness interview.\n4. Optionally resolves a writing sample and extracts a cached stylometric\n   fingerprint. Voice matching does not require Slop or Not.\n5. Probes whether Slop or Not Pro is reachable via MCP or CLI.\n6. Runs the 5-pass humanization workflow:\n   - Core mode logs unscored iterations.\n   - Slop or Not Pro runs Text Cleanup, detection, and readability checks.\n7. Returns the final text, loop history, highest-impact edits, and, when Slop\n   cleanup ran, a Text Cleanup summary.\n\n## Step 1: Detect the harness\n\nIdentify which harness is running by checking for the harness's distinctive\nquestion tool. Use the first match:\n\n| Harness | Distinctive tool present? | Read this file |\n\n### Step 2: Profile management commands\n### Step 3: Resolve rewrite preferences\n### Step 4: Resolve voice sample\n### Step 5: Probe Slop or Not Pro\n### Step 6: Run the loop\n### Slop or Not Pro setup\n### Core setup\n### Cleanup stats parsing\n### Termination with Slop or Not Pro\n### Completion in Core mode\n### Mid-flight Pro-gate\n",{"name":5,"license":15,"metadata":44,"description":7,"allowed-tools":49},{"source":45,"version":46,"compatibility":47,"upstream_author":48},"https:\u002F\u002Fgithub.com\u002Fnumen-tech\u002Fslopornot","0.1.0","claude-code codex cursor gemini-cli opencode","Numen Technologies",[50,33,51],"Read","AskUserQuestion","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-humanizer","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-humanizer",{"tool":64,"command":65},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-humanizer",{"tool":67,"command":68},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill agentic-humanizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagentic-humanizer\u002FSKILL.md",true,[],[73,94,124,150,164,180],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":39},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[80,81,82,83,84,85,86,87,88,28,89,90,91,92,93],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":105,"publishedAt":39},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[100],{"categoryNo":101,"categoryName":102,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[106,107,108,109,110,111,112,113,114,115,116,117,118,119,28,120,121,122,25,123],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":136,"publishedAt":39},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[130,133],{"categoryNo":131,"categoryName":132,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":134,"categoryName":135,"taxonomyType":103,"taxonomyTypeDesc":104},"01JBSEEDCAT000000000000008","测试与质量",[137,138,139,140,141,142,143,144,22,145,107,146,147,148,149],"review","visual","visual review","pages","web","false","iteration","take","slides","ui","screenshot","playwright","screenshots",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":39},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[152,157,158,159,160,161,162,163],"setup","report","project","installation","project setup","issues","state",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":171,"publishedAt":39},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[170],{"categoryNo":101,"categoryName":102,"taxonomyType":103,"taxonomyTypeDesc":104},[166,172,85,173,174,175,28,176,177,178,179],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":181,"name":157,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":39},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[157,159,122,186,161,187],"files","interactive"]