[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCAS5TF6AA593QXBJ8GFP7":3,"skill-same:01M6DCAS5TF6AA593QXBJ8GFP7":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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":14,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6DCAS5TF6AA593QXBJ8GFP7","agent-architecture-audit",null,"Use when agent architecture audit is needed. Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first.","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\u002Fagent-architecture-audit\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"architecture","agent architecture audit","agent architecture","audit","regression","memory","pollution","repair","discipline","use","write","read","check","tool","stack","Bash","first","applications","severity","code","2026-11-10 10:12:30",false,"---\nname: agent-architecture-audit\ndescription: \"Use when agent architecture audit is needed. Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first.\"\norigin: oh-my-agent-check\ntools: Read, Write, Edit, Bash, Grep, Glob\n---\n\n# Agent Architecture Audit\n\nA diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport\u002Frendering mutations.\n\n## When to Activate\n\n**MANDATORY for:**\n- Releasing any agent or LLM-powered application to production\n- Shipping features with tool calling, memory, or multi-step workflows\n- Agent behavior degrades after adding wrapper layers\n- User reports \"the agent is getting worse\" or \"tools are flaky\"\n- Same model works in playground but breaks inside your wrapper\n- Debugging agent behavior for more than 15 minutes without finding root cause\n\n**Especially critical when:**\n- You've added new prompt layers, tool definitions, or memory systems\n- Different agents in your system behave inconsistently\n- The model was fine yesterday but is hallucinating today\n- You suspect hidden repair\u002Fretry loops silently mutating responses\n\n**Do not use for:**\n- General code debugging — use `agent-introspection-debugging`\n- Code review — use language-specific reviewer agents\n- Security scanning — use `security-review` or `security-review\u002Fscan`\n- Agent performance benchmarking — use `agent-eval`\n- Writing new features — use the appropriate workflow skill\n\n## The 12-Layer Stack\n\nEvery agent system has these layers. Any of them can corrupt the answer:\n\n| # | Layer | What Goes Wrong |\n|---|-------|----------------|\n| 1 | System prompt | Conflicting instructions, instruction bloat |\n| 2 | Session history | Stale context injection from previous turns |\n\n### Common Failure Patterns\n### 1. Wrapper Regression\n### 2. Memory Contamination\n### 3. Tool Discipline Failure\n### 4. Rendering\u002FTransport Corruption\n### 5. Hidden Agent Layers\n### Audit Workflow\n### Phase 1: Scope\n### Phase 2: Evidence Collection\n### Tool requirements expressed only in prompt text (not code)\n### Tool execution without validation\n","# Agent Architecture Audit\n\nA diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport\u002Frendering mutations.\n\n## When to Activate\n\n**MANDATORY for:**\n- Releasing any agent or LLM-powered application to production\n- Shipping features with tool calling, memory, or multi-step workflows\n- Agent behavior degrades after adding wrapper layers\n- User reports \"the agent is getting worse\" or \"tools are flaky\"\n- Same model works in playground but breaks inside your wrapper\n- Debugging agent behavior for more than 15 minutes without finding root cause\n\n**Especially critical when:**\n- You've added new prompt layers, tool definitions, or memory systems\n- Different agents in your system behave inconsistently\n- The model was fine yesterday but is hallucinating today\n- You suspect hidden repair\u002Fretry loops silently mutating responses\n\n**Do not use for:**\n- General code debugging — use `agent-introspection-debugging`\n- Code review — use language-specific reviewer agents\n- Security scanning — use `security-review` or `security-review\u002Fscan`\n- Agent performance benchmarking — use `agent-eval`\n- Writing new features — use the appropriate workflow skill\n\n## The 12-Layer Stack\n\nEvery agent system has these layers. Any of them can corrupt the answer:\n\n| # | Layer | What Goes Wrong |\n|---|-------|----------------|\n| 1 | System prompt | Conflicting instructions, instruction bloat |\n| 2 | Session history | Stale context injection from previous turns |\n\n### Common Failure Patterns\n### 1. Wrapper Regression\n### 2. Memory Contamination\n### 3. Tool Discipline Failure\n### 4. Rendering\u002FTransport Corruption\n### 5. Hidden Agent Layers\n### Audit Workflow\n### Phase 1: Scope\n### Phase 2: Evidence Collection\n### Tool requirements expressed only in prompt text (not code)\n### Tool execution without validation\n",{"name":5,"tools":49,"origin":50,"description":7},"Read, Write, Edit, Bash, Grep, Glob","oh-my-agent-check","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fagent-architecture-audit","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 agent-architecture-audit",{"tool":63,"command":64},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill agent-architecture-audit",{"tool":66,"command":67},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill agent-architecture-audit","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\u002Fagent-architecture-audit\u002FSKILL.md",true,[],[72,93,118,144,158,174],{"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":44},"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",[],[79,80,81,82,83,84,85,86,87,33,88,89,90,91,92],"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":100,"publishedAt":44},"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":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[101,102,103,104,105,106,37,38,107,108,109,110,111,112,33,113,114,115,116,117],"openmm md","how","decision","pick","linux","analyze","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":130,"publishedAt":44},"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",[124,127],{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":128,"categoryName":129,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[131,132,133,134,135,136,137,138,36,139,102,140,141,142,143],"review","visual","visual review","pages","web","false","iteration","take","slides","ui","screenshot","playwright","screenshots",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":150,"publishedAt":44},"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",[],[146,151,152,153,154,155,156,157],"setup","report","project","installation","project setup","issues","state",{"skillNo":159,"name":160,"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":165,"publishedAt":44},"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",[164],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[160,166,84,167,168,169,33,170,171,172,173],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":175,"name":151,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":44},"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",[],[151,153,115,180,155,181],"files","interactive"]