[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H8XSDZ6QF9SSMWN3F554JS":3,"skill-same:01M6H8XSDZ6QF9SSMWN3F554JS":62},{"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":35,"linkOnly":36,"markdownContent":37,"markdownBody":38,"frontMatter":39,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":14,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":47,"updatedAt":48,"install":49,"resources":61},"01M6H8XSDZ6QF9SSMWN3F554JS","agent-native-audit",null,"Run comprehensive agent-native architecture review with scored principles","drhazemibclc\u002Fplate","drhazemibclc","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153584232?v=4","01M6H8X67MYG903V4N92MKWKYK","Hazem Ali Abd Elraouf","01M6H8X6C5TSX21P7HJVZVNFNQ",0,"MIT","https:\u002F\u002Fgithub.com\u002Fdrhazemibclc\u002Fplate\u002Fblob\u002Fmain\u002F.codex\u002Fskills\u002Fagent-native-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],"audit","agent native audit","agent native","native","review","architecture","architecture review","run","principles","with","true","2026-11-10 10:12:30",false,"---\nname: agent-native-audit\ndescription: Run comprehensive agent-native architecture review with scored principles\nargument-hint: '[optional: specific principle to audit]'\ndisable-model-invocation: true\n---\n\n# Agent-Native Architecture Audit\n\nConduct a comprehensive review of the codebase against agent-native architecture principles, launching parallel sub-agents for each principle and producing a scored report.\n\n## Core Principles to Audit\n\n1. **Action Parity** - \"Whatever the user can do, the agent can do\"\n2. **Tools as Primitives** - \"Tools provide capability, not behavior\"\n3. **Context Injection** - \"System prompt includes dynamic context about app state\"\n4. **Shared Workspace** - \"Agent and user work in the same data space\"\n5. **CRUD Completeness** - \"Every entity has full CRUD (Create, Read, Update, Delete)\"\n6. **UI Integration** - \"Agent actions immediately reflected in UI\"\n7. **Capability Discovery** - \"Users can discover what the agent can do\"\n8. **Prompt-Native Features** - \"Features are prompts defining outcomes, not code\"\n\n## Workflow\n\n### Step 1: Load the Agent-Native Skill\n\nFirst, invoke the agent-native-architecture skill to understand all principles:\n\n```\n\u002Fcompound-engineering:agent-native-architecture\n```\n\nSelect option 7 (action parity) to load the full reference material.\n\n### Step 2: Launch Parallel Sub-Agents\n\nLaunch 8 parallel sub-agents using the Task tool with `subagent_type: Explore`, one for each principle. Each agent should:\n\n1. Enumerate ALL instances in the codebase (user actions, tools, contexts, data stores, etc.)\n2. Check compliance against the principle\n3. Provide a SPECIFIC SCORE like \"X out of Y (percentage%)\"\n4. List specific gaps and recommendations\n\n\u003Csub-agents>\n\n**Agent 1: Action Parity**\n```\nAudit for ACTION PARITY - \"Whatever the user can do, the agent can do.\"\n\nTasks:\n1. Enumerate ALL user actions in frontend (API calls, button clicks, form submissions)\n   - Search for API service files, fetch calls, form handlers\n   - Check routes and components for user interactions\n2. Check which have corresponding agent tools\n   - Search for agent tool definitions\n   - Map user actions to agent capabilities\n3. Score: \"Agent can do X out of Y user actions\"\n\nFormat:\n## Action Parity Audit\n### User Actions Found\n| Action | Location | Agent Tool | Status |\n### Score: X\u002FY (percentage%)\n### Missing Agent Tools\n### Recommendations\n```\n\n**Agent 2: Tools as Primitives**\n```\nAudit for TOOLS AS PRIMITIVES - \"Tools provide capability, not behavior.\"\n\nTasks:\n1. Find and read ALL agent tool files\n2. Classify each as:\n   - PRIMITIVE (good): read, write, store, list - enables capability without business logic\n   - WORKFLOW (bad): encodes business logic, makes decisions, orchestrates steps\n3. Score: \"X out of Y tools are proper primitives\"\n\nFormat:\n## Tools as Primitives Audit\n### Tool Analysis\n| Tool | File | Type | Reasoning |\n### Score: X\u002FY (percentage%)\n### Problematic Tools (workflows that should be primitives)\n### Recommendations\n```\n\n**Agent 3: Context Injection**\n```\nAudit for CONTEXT INJECTION - \"System prompt includes dynamic context about app state\"\n\nTasks:\n1. Find context injection code (search for \"context\", \"system prompt\", \"inject\")\n2. Read agent prompts and system messages\n3. Enumerate what IS injected vs what SHOULD be:\n   - Available resources (files, drafts, documents)\n   - User preferences\u002Fsettings\n   - Recent activity\n   - Available capabilities listed\n   - Session history\n   - Workspace state\n\nFormat:\n## Context Injection Audit\n### Context Types Analysis\n| Context Type | Injected? | Location | Notes |\n### Score: X\u002FY (percentage%)\n### Missing Context\n### Recommendations\n```\n\n**Agent 4: Shared Workspace**\n```\nAudit for SHARED WORKSPACE - \"Agent and user work in the same data space\"\n\nTasks:\n1. Identify all data stores\u002Ftables\u002Fmodels\n2. Check if agents read\u002Fwrite to SAME tables or separate ones\n3. Look for sandbox isolation anti-pattern (agent has separate data space)\n\nFormat:\n## Shared Workspace Audit\n### Data Store Analysis\n| Data Store | User Access | Agent Access | Shared? |\n### Score: X\u002FY (percentage%)\n### Isolated Data (anti-pattern)\n### Recommendations\n```\n\n**Agent 5: CRUD Completeness**\n```\nAudit for CRUD COMPLETENESS - \"Every entity has full CRUD\"\n\nTasks:\n1. Identify all entities\u002Fmodels in the codebase\n2. For each entity, check if agent tools exist for:\n   - Create\n   - Read\n   - Update\n   - Delete\n3. Score per entity and overall\n\nFormat:\n## CRUD Completeness Audit\n### Entity CRUD Analysis\n| Entity | Create | Read | Update | Delete | Score |\n### Overall Score: X\u002FY entities with full CRUD (percentage%)\n### Incomplete Entities (list missing operations)\n### Recommendations\n```\n\n**Agent 6: UI Integration**\n```\nAudit for UI INTEGRATION - \"Agent actions immediately reflected in UI\"\n\nTasks:\n1. Check how agent writes\u002Fchanges propagate to frontend\n2. Look for:\n   - Streaming updates (SSE, WebSocket)\n   - Polling mechanisms\n   - Shared state\u002Fservices\n   - Event buses\n   - File watching\n3. Identify \"silent actions\" anti-pattern (agent changes state but UI doesn't update)\n\nFormat:\n## UI Integration Audit\n### Agent Action → UI Update Analysis\n| Agent Action | UI Mechanism | Immediate? | Notes |\n### Score: X\u002FY (percentage%)\n### Silent Actions (anti-pattern)\n### Recommendations\n```\n\n**Agent 7: Capability Discovery**\n```\nAudit for CAPABILITY DISCOVERY - \"Users can discover what the agent can do\"\n\nTasks:\n1. Check for these 7 discovery mechanisms:\n   - Onboarding flow showing agent capabilities\n   - Help documentation\n   - Capability hints in UI\n   - Agent self-describes in responses\n   - Suggested prompts\u002Factions\n   - Empty state guidance\n   - Slash commands (\u002Fhelp, \u002Ftools)\n2. Score against 7 mechanisms\n\nFormat:\n## Capability Discovery Audit\n### Discovery Mechanism Analysis\n| Mechanism | Exists? | Location | Quality |\n### Score: X\u002F7 (percentage%)\n### Missing Discovery\n### Recommendations\n```\n\n**Agent 8: Prompt-Native Features**\n```\nAudit for PROMPT-NATIVE FEATURES - \"Features are prompts defining outcomes, not code\"\n\nTasks:\n1. Read all agent prompts\n2. Classify each feature\u002Fbehavior as defined in:\n   - PROMPT (good): outcomes defined in natural language\n   - CODE (bad): business logic hardcoded\n3. Check if behavior changes require prompt edit vs code change\n\nFormat:\n## Prompt-Native Features Audit\n### Feature Definition Analysis\n| Feature | Defined In | Type | Notes |\n### Score: X\u002FY (percentage%)\n### Code-Defined Features (anti-pattern)\n### Recommendations\n```\n\n\u003C\u002Fsub-agents>\n\n### Step 3: Compile Summary Report\n\nAfter all agents complete, compile a summary with:\n\n```markdown\n## Agent-Native Architecture Review: [Project Name]\n\n### Overall Score Summary\n\n| Core Principle | Score | Percentage | Status |\n|----------------|-------|------------|--------|\n| Action Parity | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Tools as Primitives | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Context Injection | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Shared Workspace | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| CRUD Completeness | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| UI Integration | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Capability Discovery | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Prompt-Native Features | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n\n**Overall Agent-Native Score: X%**\n\n### Status Legend\n- ✅ Excellent (80%+)\n- ⚠️ Partial (50-79%)\n- ❌ Needs Work (\u003C50%)\n\n### Top 10 Recommendations by Impact\n\n| Priority | Action | Principle | Effort |\n|----------|--------|-----------|--------|\n\n### What's Working Excellently\n\n[List top 5 strengths]\n```\n\n## Success Criteria\n\n- [ ] All 8 sub-agents complete their audits\n- [ ] Each principle has a specific numeric score (X\u002FY format)\n- [ ] Summary table shows all scores and status indicators\n- [ ] Top 10 recommendations are prioritized by impact\n- [ ] Report identifies both strengths and gaps\n\n## Optional: Single Principle Audit\n\nIf $ARGUMENTS specifies a single principle (e.g., \"action parity\"), only run that sub-agent and provide detailed findings for that principle alone.\n\nValid arguments:\n- `action parity` or `1`\n- `tools` or `primitives` or `2`\n- `context` or `injection` or `3`\n- `shared` or `workspace` or `4`\n- `crud` or `5`\n- `ui` or `integration` or `6`\n- `discovery` or `7`\n- `prompt` or `features` or `8`\n","# Agent-Native Architecture Audit\n\nConduct a comprehensive review of the codebase against agent-native architecture principles, launching parallel sub-agents for each principle and producing a scored report.\n\n## Core Principles to Audit\n\n1. **Action Parity** - \"Whatever the user can do, the agent can do\"\n2. **Tools as Primitives** - \"Tools provide capability, not behavior\"\n3. **Context Injection** - \"System prompt includes dynamic context about app state\"\n4. **Shared Workspace** - \"Agent and user work in the same data space\"\n5. **CRUD Completeness** - \"Every entity has full CRUD (Create, Read, Update, Delete)\"\n6. **UI Integration** - \"Agent actions immediately reflected in UI\"\n7. **Capability Discovery** - \"Users can discover what the agent can do\"\n8. **Prompt-Native Features** - \"Features are prompts defining outcomes, not code\"\n\n## Workflow\n\n### Step 1: Load the Agent-Native Skill\n\nFirst, invoke the agent-native-architecture skill to understand all principles:\n\n```\n\u002Fcompound-engineering:agent-native-architecture\n```\n\nSelect option 7 (action parity) to load the full reference material.\n\n### Step 2: Launch Parallel Sub-Agents\n\nLaunch 8 parallel sub-agents using the Task tool with `subagent_type: Explore`, one for each principle. Each agent should:\n\n1. Enumerate ALL instances in the codebase (user actions, tools, contexts, data stores, etc.)\n2. Check compliance against the principle\n3. Provide a SPECIFIC SCORE like \"X out of Y (percentage%)\"\n4. List specific gaps and recommendations\n\n\u003Csub-agents>\n\n**Agent 1: Action Parity**\n```\nAudit for ACTION PARITY - \"Whatever the user can do, the agent can do.\"\n\nTasks:\n1. Enumerate ALL user actions in frontend (API calls, button clicks, form submissions)\n   - Search for API service files, fetch calls, form handlers\n   - Check routes and components for user interactions\n2. Check which have corresponding agent tools\n   - Search for agent tool definitions\n   - Map user actions to agent capabilities\n3. Score: \"Agent can do X out of Y user actions\"\n\nFormat:\n## Action Parity Audit\n### User Actions Found\n| Action | Location | Agent Tool | Status |\n### Score: X\u002FY (percentage%)\n### Missing Agent Tools\n### Recommendations\n```\n\n**Agent 2: Tools as Primitives**\n```\nAudit for TOOLS AS PRIMITIVES - \"Tools provide capability, not behavior.\"\n\nTasks:\n1. Find and read ALL agent tool files\n2. Classify each as:\n   - PRIMITIVE (good): read, write, store, list - enables capability without business logic\n   - WORKFLOW (bad): encodes business logic, makes decisions, orchestrates steps\n3. Score: \"X out of Y tools are proper primitives\"\n\nFormat:\n## Tools as Primitives Audit\n### Tool Analysis\n| Tool | File | Type | Reasoning |\n### Score: X\u002FY (percentage%)\n### Problematic Tools (workflows that should be primitives)\n### Recommendations\n```\n\n**Agent 3: Context Injection**\n```\nAudit for CONTEXT INJECTION - \"System prompt includes dynamic context about app state\"\n\nTasks:\n1. Find context injection code (search for \"context\", \"system prompt\", \"inject\")\n2. Read agent prompts and system messages\n3. Enumerate what IS injected vs what SHOULD be:\n   - Available resources (files, drafts, documents)\n   - User preferences\u002Fsettings\n   - Recent activity\n   - Available capabilities listed\n   - Session history\n   - Workspace state\n\nFormat:\n## Context Injection Audit\n### Context Types Analysis\n| Context Type | Injected? | Location | Notes |\n### Score: X\u002FY (percentage%)\n### Missing Context\n### Recommendations\n```\n\n**Agent 4: Shared Workspace**\n```\nAudit for SHARED WORKSPACE - \"Agent and user work in the same data space\"\n\nTasks:\n1. Identify all data stores\u002Ftables\u002Fmodels\n2. Check if agents read\u002Fwrite to SAME tables or separate ones\n3. Look for sandbox isolation anti-pattern (agent has separate data space)\n\nFormat:\n## Shared Workspace Audit\n### Data Store Analysis\n| Data Store | User Access | Agent Access | Shared? |\n### Score: X\u002FY (percentage%)\n### Isolated Data (anti-pattern)\n### Recommendations\n```\n\n**Agent 5: CRUD Completeness**\n```\nAudit for CRUD COMPLETENESS - \"Every entity has full CRUD\"\n\nTasks:\n1. Identify all entities\u002Fmodels in the codebase\n2. For each entity, check if agent tools exist for:\n   - Create\n   - Read\n   - Update\n   - Delete\n3. Score per entity and overall\n\nFormat:\n## CRUD Completeness Audit\n### Entity CRUD Analysis\n| Entity | Create | Read | Update | Delete | Score |\n### Overall Score: X\u002FY entities with full CRUD (percentage%)\n### Incomplete Entities (list missing operations)\n### Recommendations\n```\n\n**Agent 6: UI Integration**\n```\nAudit for UI INTEGRATION - \"Agent actions immediately reflected in UI\"\n\nTasks:\n1. Check how agent writes\u002Fchanges propagate to frontend\n2. Look for:\n   - Streaming updates (SSE, WebSocket)\n   - Polling mechanisms\n   - Shared state\u002Fservices\n   - Event buses\n   - File watching\n3. Identify \"silent actions\" anti-pattern (agent changes state but UI doesn't update)\n\nFormat:\n## UI Integration Audit\n### Agent Action → UI Update Analysis\n| Agent Action | UI Mechanism | Immediate? | Notes |\n### Score: X\u002FY (percentage%)\n### Silent Actions (anti-pattern)\n### Recommendations\n```\n\n**Agent 7: Capability Discovery**\n```\nAudit for CAPABILITY DISCOVERY - \"Users can discover what the agent can do\"\n\nTasks:\n1. Check for these 7 discovery mechanisms:\n   - Onboarding flow showing agent capabilities\n   - Help documentation\n   - Capability hints in UI\n   - Agent self-describes in responses\n   - Suggested prompts\u002Factions\n   - Empty state guidance\n   - Slash commands (\u002Fhelp, \u002Ftools)\n2. Score against 7 mechanisms\n\nFormat:\n## Capability Discovery Audit\n### Discovery Mechanism Analysis\n| Mechanism | Exists? | Location | Quality |\n### Score: X\u002F7 (percentage%)\n### Missing Discovery\n### Recommendations\n```\n\n**Agent 8: Prompt-Native Features**\n```\nAudit for PROMPT-NATIVE FEATURES - \"Features are prompts defining outcomes, not code\"\n\nTasks:\n1. Read all agent prompts\n2. Classify each feature\u002Fbehavior as defined in:\n   - PROMPT (good): outcomes defined in natural language\n   - CODE (bad): business logic hardcoded\n3. Check if behavior changes require prompt edit vs code change\n\nFormat:\n## Prompt-Native Features Audit\n### Feature Definition Analysis\n| Feature | Defined In | Type | Notes |\n### Score: X\u002FY (percentage%)\n### Code-Defined Features (anti-pattern)\n### Recommendations\n```\n\n\u003C\u002Fsub-agents>\n\n### Step 3: Compile Summary Report\n\nAfter all agents complete, compile a summary with:\n\n```markdown\n## Agent-Native Architecture Review: [Project Name]\n\n### Overall Score Summary\n\n| Core Principle | Score | Percentage | Status |\n|----------------|-------|------------|--------|\n| Action Parity | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Tools as Primitives | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Context Injection | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Shared Workspace | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| CRUD Completeness | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| UI Integration | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Capability Discovery | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n| Prompt-Native Features | X\u002FY | Z% | ✅\u002F⚠️\u002F❌ |\n\n**Overall Agent-Native Score: X%**\n\n### Status Legend\n- ✅ Excellent (80%+)\n- ⚠️ Partial (50-79%)\n- ❌ Needs Work (\u003C50%)\n\n### Top 10 Recommendations by Impact\n\n| Priority | Action | Principle | Effort |\n|----------|--------|-----------|--------|\n\n### What's Working Excellently\n\n[List top 5 strengths]\n```\n\n## Success Criteria\n\n- [ ] All 8 sub-agents complete their audits\n- [ ] Each principle has a specific numeric score (X\u002FY format)\n- [ ] Summary table shows all scores and status indicators\n- [ ] Top 10 recommendations are prioritized by impact\n- [ ] Report identifies both strengths and gaps\n\n## Optional: Single Principle Audit\n\nIf $ARGUMENTS specifies a single principle (e.g., \"action parity\"), only run that sub-agent and provide detailed findings for that principle alone.\n\nValid arguments:\n- `action parity` or `1`\n- `tools` or `primitives` or `2`\n- `context` or `injection` or `3`\n- `shared` or `workspace` or `4`\n- `crud` or `5`\n- `ui` or `integration` or `6`\n- `discovery` or `7`\n- `prompt` or `features` or `8`\n",{"name":5,"description":7,"argument-hint":40,"disable-model-invocation":41},"[optional: specific principle to audit]",true,"main","2af107c35457ccaaa2c99d5478745496095d3cf7",".codex\u002Fskills\u002Fagent-native-audit","https:\u002F\u002Fgithub.com\u002Fdrhazemibclc\u002Fplate","https:\u002F\u002Fgithub.com\u002Fdrhazemibclc","Certified Pediatrician and IBCLC","2026-03-22 21:33:09",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":41},[51,54,57],{"tool":52,"command":53},"npx","npx skills add drhazemibclc\u002Fplate --skill agent-native-audit",{"tool":55,"command":56},"bunx","bunx skills add drhazemibclc\u002Fplate --skill agent-native-audit",{"tool":58,"command":59},"pnpm","pnpm dlx skills add drhazemibclc\u002Fplate --skill 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This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002Fdrhazemibclc\u002Fplate\u002Fblob\u002Fmain\u002F.codex\u002Fskills\u002Fvercel-react-best-practices\u002FSKILL.md",[140],{"categoryNo":141,"categoryName":142,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163],"vercel","react best practices","best practices","vercel react best practices","react","Next.js","data fetching","triggers","pages","next","performance optimization","refactoring","Optimization","code","tasks","guidelines","react components","components","performance","writing"]