[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCZYCXW3DARX55AWPBYFEJ":3,"skill-same:01M6DCZYCXW3DARX55AWPBYFEJ":71},{"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":51,"commitSha":52,"skillDirectory":53,"forksCount":14,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6DCZYCXW3DARX55AWPBYFEJ","slop-check",null,"Use when the user asks if text or an image is AI-generated, to clean AI artifacts or invisible characters, or to score readability (Flesch-Kincaid) via Slop or Not Pro on-device tools (macOS only) ; do NOT use for rewriting or humanizing text (use agentic-humanizer or humanizer) ; returns AI-detection verdict, cleaned text, or readability grade.","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\u002Fslop-check\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"slop check","check","text","do","ai-detection","clean","opencode","only","use","generated","image","Bash","artifacts","code","humanizer","codex","agentic","github","gemini","cli","2026-11-10 10:12:30",false,"---\nname: slop-check\ndescription: Use when the user asks if text or an image is AI-generated, to clean AI artifacts or invisible characters, or to score readability (Flesch-Kincaid) via Slop or Not Pro on-device tools (macOS only) ; do NOT use for rewriting or humanizing text (use agentic-humanizer or humanizer) ; returns AI-detection verdict, cleaned text, or readability grade.\nlicense: MIT\nallowed-tools:\n- Read\n- Bash\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> **Windows note (vendored):** `slop-check` routes to the Slop or Not Pro on-device MCP \u002F `slop` CLI, which is **macOS-only**. On Windows these AI-detection \u002F readability calls will not resolve; the skill is vendored for completeness and cross-platform parity. To humanize text on Windows use `agentic-humanizer` (works standalone) or `humanizer`.\n\n# Slop Check\n\nOne-shot access to Slop or Not Pro's on-device analysis. Detect AI text or\nimages, clean AI artifacts, or score readability, then report a clear\nverdict. No interview, no loop.\n\n**Slash command:** `\u002Fslop-check [paste text | file path | image path]`\n\n## Critical rules\n\n1. For `image-detect` and explicit `image-score`, MUST prefer the\n   app-bundle CLI when the current client can run local shell commands. Use\n   MCP for image operations only when CLI execution is unsupported or fails.\n   For text, readability, cleanup, and status, try MCP before CLI.\n2. MUST verify Pro with a real Pro-gated call. NEVER infer Pro from\n   `slop_status` or `slop status`; both succeed for non-Pro users.\n3. NEVER block on a structured-question tool. Resolve ambiguity with the\n   Step 1 precedence rule and state the assumption, or emit the single\n   plain-text input request. Plain text renders on every harness.\n4. NEVER create symlinks, edit shell rc files, or otherwise modify PATH.\n   Prefer the absolute app-bundle binary at\n   `\u002FApplications\u002FSlop Or Not.app\u002FContents\u002FMacOS\u002Fslop` whenever using the\n   CLI. Detection, readability, cleanup, score, and status are output-only:\n\n### Step 1: Identify the operation and input\n### Step 2: Resolve a working backend\n### Step 3: Run the operation\n### Step 4: Present the result\n### Step 5: Fallback when Slop or Not Pro is unavailable\n### Examples\n### Pointer files\n","> **Windows note (vendored):** `slop-check` routes to the Slop or Not Pro on-device MCP \u002F `slop` CLI, which is **macOS-only**. On Windows these AI-detection \u002F readability calls will not resolve; the skill is vendored for completeness and cross-platform parity. To humanize text on Windows use `agentic-humanizer` (works standalone) or `humanizer`.\n\n# Slop Check\n\nOne-shot access to Slop or Not Pro's on-device analysis. Detect AI text or\nimages, clean AI artifacts, or score readability, then report a clear\nverdict. No interview, no loop.\n\n**Slash command:** `\u002Fslop-check [paste text | file path | image path]`\n\n## Critical rules\n\n1. For `image-detect` and explicit `image-score`, MUST prefer the\n   app-bundle CLI when the current client can run local shell commands. Use\n   MCP for image operations only when CLI execution is unsupported or fails.\n   For text, readability, cleanup, and status, try MCP before CLI.\n2. MUST verify Pro with a real Pro-gated call. NEVER infer Pro from\n   `slop_status` or `slop status`; both succeed for non-Pro users.\n3. NEVER block on a structured-question tool. Resolve ambiguity with the\n   Step 1 precedence rule and state the assumption, or emit the single\n   plain-text input request. Plain text renders on every harness.\n4. NEVER create symlinks, edit shell rc files, or otherwise modify PATH.\n   Prefer the absolute app-bundle binary at\n   `\u002FApplications\u002FSlop Or Not.app\u002FContents\u002FMacOS\u002Fslop` whenever using the\n   CLI. Detection, readability, cleanup, score, and status are output-only:\n\n### Step 1: Identify the operation and input\n### Step 2: Resolve a working backend\n### Step 3: Run the operation\n### Step 4: Present the result\n### Step 5: Fallback when Slop or Not Pro is unavailable\n### Examples\n### Pointer files\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",[50,30],"Read","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fslop-check","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill slop-check",{"tool":63,"command":64},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill slop-check",{"tool":66,"command":67},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill slop-check","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\u002Fslop-check\u002FSKILL.md",true,[],[72,93,123,149,163,179],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":78,"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",[],[79,80,81,82,83,84,85,86,87,27,88,89,90,91,92],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":104,"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",[99],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[105,106,107,108,109,110,111,112,113,114,115,116,117,118,27,119,120,121,22,122],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":135,"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",[129,132],{"categoryNo":130,"categoryName":131,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":133,"categoryName":134,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000008","测试与质量",[136,137,138,139,140,141,142,143,20,144,106,145,146,147,148],"review","visual","visual review","pages","web","false","iteration","take","slides","ui","screenshot","playwright","screenshots",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":155,"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",[],[151,156,157,158,159,160,161,162],"setup","report","project","installation","project setup","issues","state",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"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",[169],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},[165,171,84,172,173,174,27,175,176,177,178],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":180,"name":156,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":184,"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",[],[156,158,121,185,160,186],"files","interactive"]