[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCBEVKVFYK32K6B33SJ4DP":3,"skill-same:01M6DCBEVKVFYK32K6B33SJ4DP":50},{"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":25,"linkOnly":26,"markdownContent":27,"markdownBody":28,"frontMatter":29,"refName":30,"commitSha":31,"skillDirectory":32,"forksCount":14,"repositoryHtmlUrl":33,"repositoryHomepageUrl":6,"ownerHtmlUrl":34,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":35,"install":36,"resources":49},"01M6DCBEVKVFYK32K6B33SJ4DP","angr",null,"Use when symbolic execution, path exploration, constraint solving, or programmatic reasoning about binary behavior is needed beyond manual reversing.","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\u002Fangr\u002FSKILL.md",[],[5,19,20,21,22,23,24],"reasoning","execution","behavior","use","exploration","binary","2026-11-10 10:12:30",false,"---\nname: angr\ndescription: Use when symbolic execution, path exploration, constraint solving, or programmatic reasoning about binary behavior is needed beyond manual reversing.\n---\n\n# angr\n\n## Overview\n\nUse angr for scripted program analysis: symbolic execution, state exploration, and solver-backed reasoning. It is useful when manual reversing alone is too slow or when you need proof about reachable states.\n\n## Quick Workflow\n\n1. Work in a dedicated Python environment so Z3 and angr dependencies stay isolated.\n2. Build the smallest `Project` and entry state that matches the question.\n3. Constrain inputs early so the search space stays tractable.\n4. Explore to concrete targets or bad states, then extract solver results and verify them against the real binary.\n5. Save the analysis script alongside notes about addresses, assumptions, and architecture.\n\n## Common Mistakes\n\n- Starting from unconstrained full-program symbolic execution and exploding the state space.\n- Treating a solver result as valid without replaying it against the real binary.\n- Forgetting architecture, loader, or environment assumptions when comparing angr results with runtime behavior.\n\n## Reference Map\n\nRead `references\u002Fupstream.md` for install notes and a minimal sanity-check workflow.\n","# angr\n\n## Overview\n\nUse angr for scripted program analysis: symbolic execution, state exploration, and solver-backed reasoning. It is useful when manual reversing alone is too slow or when you need proof about reachable states.\n\n## Quick Workflow\n\n1. Work in a dedicated Python environment so Z3 and angr dependencies stay isolated.\n2. Build the smallest `Project` and entry state that matches the question.\n3. Constrain inputs early so the search space stays tractable.\n4. Explore to concrete targets or bad states, then extract solver results and verify them against the real binary.\n5. Save the analysis script alongside notes about addresses, assumptions, and architecture.\n\n## Common Mistakes\n\n- Starting from unconstrained full-program symbolic execution and exploding the state space.\n- Treating a solver result as valid without replaying it against the real binary.\n- Forgetting architecture, loader, or environment assumptions when comparing angr results with runtime behavior.\n\n## Reference Map\n\nRead `references\u002Fupstream.md` for install notes and a minimal sanity-check workflow.\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fangr","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":37,"prompt":47,"zipAvailable":48},[38,41,44],{"tool":39,"command":40},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill angr",{"tool":42,"command":43},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill angr",{"tool":45,"command":46},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill angr","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\u002Fangr\u002FSKILL.md",true,[],[51,71,102,129,143,159],{"skillNo":52,"name":53,"nameZh":6,"description":54,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":55,"categories":56,"keywords":57,"publishedAt":25},"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",[],[58,59,60,61,62,63,64,65,66,22,67,68,69,20,70],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","file",{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":82,"publishedAt":25},"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",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[83,84,85,86,87,88,89,90,91,92,93,94,95,96,22,97,98,99,100,101],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":114,"publishedAt":25},"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",[108,111],{"categoryNo":109,"categoryName":110,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":112,"categoryName":113,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000008","测试与质量",[115,116,117,118,119,120,121,122,123,124,84,125,126,127,128],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":25},"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",[],[131,136,137,138,139,140,141,142],"setup","report","project","installation","project setup","issues","state",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":150,"publishedAt":25},"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",[149],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},[145,151,63,152,153,154,22,155,156,157,158],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":160,"name":136,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":25},"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",[],[136,138,99,165,140,166],"files","interactive"]