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          "zh-TW": "工具呼叫體驗成熟穩定"
        }
      ],
      "caveats": [
        {
          "en": "Less depth for frontier-grade reasoning",
          "zh-TW": "面對最前沿推理任務時深度較不足"
        },
        {
          "en": "May need stronger prompt scaffolding for nuanced analysis",
          "zh-TW": "做細緻分析時需要更好的提示框架"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:gpt-5-mini",
      "status": "active",
      "displayName": "GPT-5 Mini",
      "summary": {
        "en": "Lean, affordable OpenAI model tuned for responsive assistants, classification, and operational agent tasks.",
        "zh-TW": "輕量且價格友善的 OpenAI 模型，適合即時助理、分類與日常 agent 任務。"
      },
      "bestFor": [
        "agent-automation",
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-site:gpt-5-mini-official",
          "label": "GPT-5 Mini official",
          "url": "https://openai.com/api/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:gpt-5-mini-docs",
          "label": "GPT-5 Mini docs",
          "url": "https://platform.openai.com/docs/models",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "pricing-page:gpt-5-mini-pricing",
          "label": "GPT-5 Mini pricing",
          "url": "https://openai.com/api/pricing/",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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        },
        {
          "id": "manual-review:gpt-5-mini-verdictlens-review",
          "label": "GPT-5 Mini VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "claude-3-7-sonnet",
      "name": "Claude 3.7 Sonnet",
      "family": "Claude 3.7",
      "providerId": "anthropic",
      "officialUrl": "https://www.anthropic.com/claude",
      "docsUrl": "https://docs.anthropic.com/en/docs/about-claude/models/overview",
      "pricingUrl": "https://www.anthropic.com/pricing#api",
      "description": {
        "en": "Highly trusted reasoning and coding model with exceptional writing quality and calm, consistent outputs.",
        "zh-TW": "高信任度的推理與程式模型，寫作品質優秀，輸出穩定且一致性高。"
      },
      "modalities": [
        "text",
        "image",
        "tools"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "200K",
      "pricing": {
        "input": "$3 / 1M tok",
        "output": "$15 / 1M tok",
        "inputUsdPerMillion": "3",
        "outputUsdPerMillion": "15"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true,
        "remoteMcp": true
      },
      "overallScore": 91,
      "scores": {
        "capability": 94,
        "useCaseFitness": 92,
        "costEfficiency": 82,
        "speed": 84,
        "reliability": 95,
        "agentReadiness": 91,
        "ecosystem": 90
      },
      "bestUseCases": [
        "coding",
        "research"
      ],
      "worksWith": [
        "Claude Code",
        "LangGraph",
        "Playwright",
        "MCP servers"
      ],
      "tags": [
        "reasoning",
        "coding",
        "writing"
      ],
      "strengths": [
        {
          "en": "Excellent code edits and technical explanations",
          "zh-TW": "程式修改與技術解說能力出色"
        },
        {
          "en": "Strong output consistency for editorial workflows",
          "zh-TW": "在編輯與寫作流程中穩定度高"
        }
      ],
      "caveats": [
        {
          "en": "Tool ecosystem is strong but narrower than the broadest platform stacks",
          "zh-TW": "工具生態不錯，但仍略窄於最完整的平台型生態"
        },
        {
          "en": "Latency can rise on very long deliberative prompts",
          "zh-TW": "超長推理提示下延遲可能上升"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:claude-3-7-sonnet",
      "status": "active",
      "displayName": "Claude 3.7 Sonnet",
      "summary": {
        "en": "Highly trusted reasoning and coding model with exceptional writing quality and calm, consistent outputs.",
        "zh-TW": "高信任度的推理與程式模型，寫作品質優秀，輸出穩定且一致性高。"
      },
      "bestFor": [
        "coding",
        "research"
      ],
      "sourceRefs": [
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          "id": "official-site:claude-3-7-sonnet-official",
          "label": "Claude 3.7 Sonnet official",
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          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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          ]
        },
        {
          "id": "official-docs:claude-3-7-sonnet-docs",
          "label": "Claude 3.7 Sonnet docs",
          "url": "https://docs.anthropic.com/en/docs/about-claude/models/overview",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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        },
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          "id": "pricing-page:claude-3-7-sonnet-pricing",
          "label": "Claude 3.7 Sonnet pricing",
          "url": "https://www.anthropic.com/pricing#api",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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          ]
        },
        {
          "id": "manual-review:claude-3-7-sonnet-verdictlens-review",
          "label": "Claude 3.7 Sonnet VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "claude-3-5-haiku",
      "name": "Claude 3.5 Haiku",
      "family": "Claude 3.5",
      "providerId": "anthropic",
      "officialUrl": "https://www.anthropic.com/claude",
      "docsUrl": "https://docs.anthropic.com/en/docs/about-claude/models/overview",
      "pricingUrl": "https://www.anthropic.com/pricing#api",
      "description": {
        "en": "Fast and lightweight model ideal for summarization, routing, support tasks, and budget-sensitive assistants.",
        "zh-TW": "快速輕量模型，適合摘要、任務路由、客服與成本敏感型助理。"
      },
      "modalities": [
        "text",
        "image"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "200K",
      "pricing": {
        "input": "$0.8 / 1M tok",
        "output": "$4 / 1M tok",
        "inputUsdPerMillion": "0.8",
        "outputUsdPerMillion": "4"
      },
      "speedCategory": "Fast",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true
      },
      "overallScore": 84,
      "scores": {
        "capability": 78,
        "useCaseFitness": 85,
        "costEfficiency": 92,
        "speed": 96,
        "reliability": 88,
        "agentReadiness": 80,
        "ecosystem": 85
      },
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "LangGraph",
        "SerpApi",
        "Slack assistants"
      ],
      "tags": [
        "fast",
        "budget",
        "summaries"
      ],
      "strengths": [
        {
          "en": "Responsive and economical for high-volume operations",
          "zh-TW": "高量操作下反應快且成本低"
        },
        {
          "en": "Strong default tone quality for concise outputs",
          "zh-TW": "簡潔輸出時語氣表現穩定"
        }
      ],
      "caveats": [
        {
          "en": "Limited ceiling for complex multi-step planning",
          "zh-TW": "複雜多步驟規劃能力上限有限"
        },
        {
          "en": "Less appealing for agent workflows that require richer tool state",
          "zh-TW": "需要更複雜工具狀態的 agent 流程較不適合"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:claude-3-5-haiku",
      "status": "active",
      "displayName": "Claude 3.5 Haiku",
      "summary": {
        "en": "Fast and lightweight model ideal for summarization, routing, support tasks, and budget-sensitive assistants.",
        "zh-TW": "快速輕量模型，適合摘要、任務路由、客服與成本敏感型助理。"
      },
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
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          "id": "official-docs:claude-3-5-haiku-docs",
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          "kind": "pricing-page",
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        },
        {
          "id": "manual-review:claude-3-5-haiku-verdictlens-review",
          "label": "Claude 3.5 Haiku VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "gemini-2-5-pro",
      "name": "Gemini 2.5 Pro",
      "family": "Gemini 2.5",
      "providerId": "google",
      "officialUrl": "https://ai.google.dev/gemini-api",
      "docsUrl": "https://ai.google.dev/gemini-api/docs/models",
      "pricingUrl": "https://ai.google.dev/gemini-api/docs/pricing",
      "description": {
        "en": "Powerful multimodal model with strong long-context analysis, research workflows, and broad document understanding.",
        "zh-TW": "強大的多模態模型，擅長長上下文分析、研究流程與複雜文件理解。"
      },
      "modalities": [
        "text",
        "image",
        "audio",
        "video",
        "tools"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "audio",
          "video",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "1M",
      "pricing": {
        "input": "$3.5 / 1M tok",
        "output": "$10.5 / 1M tok",
        "inputUsdPerMillion": "3.5",
        "outputUsdPerMillion": "10.5"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true,
        "webSearch": true,
        "codeExecution": true
      },
      "overallScore": 90,
      "scores": {
        "capability": 95,
        "useCaseFitness": 92,
        "costEfficiency": 84,
        "speed": 81,
        "reliability": 89,
        "agentReadiness": 88,
        "ecosystem": 92
      },
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "Notebook workflows",
        "Document analysis",
        "n8n",
        "Vertex AI stacks"
      ],
      "tags": [
        "long-context",
        "multimodal",
        "research"
      ],
      "strengths": [
        {
          "en": "Outstanding large-document synthesis",
          "zh-TW": "大型文件整合與歸納能力突出"
        },
        {
          "en": "One of the best multimodal coverage profiles",
          "zh-TW": "多模態覆蓋面非常完整"
        }
      ],
      "caveats": [
        {
          "en": "UX across endpoints can feel less uniform than the most polished competitors",
          "zh-TW": "不同端點體驗的一致性略遜於最成熟對手"
        },
        {
          "en": "Not always the fastest interactive pick",
          "zh-TW": "互動式回應未必是最快選擇"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:gemini-2-5-pro",
      "status": "active",
      "displayName": "Gemini 2.5 Pro",
      "summary": {
        "en": "Powerful multimodal model with strong long-context analysis, research workflows, and broad document understanding.",
        "zh-TW": "強大的多模態模型，擅長長上下文分析、研究流程與複雜文件理解。"
      },
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-site:gemini-2-5-pro-official",
          "label": "Gemini 2.5 Pro official",
          "url": "https://ai.google.dev/gemini-api",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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          ]
        },
        {
          "id": "official-docs:gemini-2-5-pro-docs",
          "label": "Gemini 2.5 Pro docs",
          "url": "https://ai.google.dev/gemini-api/docs/models",
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        },
        {
          "id": "pricing-page:gemini-2-5-pro-pricing",
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          "url": "https://ai.google.dev/gemini-api/docs/pricing",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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        },
        {
          "id": "manual-review:gemini-2-5-pro-verdictlens-review",
          "label": "Gemini 2.5 Pro VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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            "caveats"
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        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "gemini-2-5-flash",
      "name": "Gemini 2.5 Flash",
      "family": "Gemini 2.5",
      "providerId": "google",
      "officialUrl": "https://ai.google.dev/gemini-api",
      "docsUrl": "https://ai.google.dev/gemini-api/docs/models",
      "pricingUrl": "https://ai.google.dev/gemini-api/docs/pricing",
      "description": {
        "en": "Low-latency multimodal workhorse for assistant surfaces, routing layers, and lightweight agent execution.",
        "zh-TW": "低延遲多模態工作馬，適合助理介面、路由層與輕量 agent 執行。"
      },
      "modalities": [
        "text",
        "image",
        "audio",
        "video"
      ],
      "modalityProfile": {
        "input": [
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          "image",
          "audio",
          "video",
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        ],
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          "json"
        ]
      },
      "contextWindow": "1M",
      "pricing": {
        "input": "$0.7 / 1M tok",
        "output": "$2.8 / 1M tok",
        "inputUsdPerMillion": "0.7",
        "outputUsdPerMillion": "2.8"
      },
      "speedCategory": "Fast",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true,
        "webSearch": true
      },
      "overallScore": 86,
      "scores": {
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        "useCaseFitness": 86,
        "costEfficiency": 95,
        "speed": 97,
        "reliability": 86,
        "agentReadiness": 84,
        "ecosystem": 90
      },
      "bestUseCases": [
        "agent-automation",
        "research"
      ],
      "worksWith": [
        "Routing layers",
        "Multimodal inboxes",
        "n8n",
        "Vertex AI stacks"
      ],
      "tags": [
        "multimodal",
        "fast",
        "assistant"
      ],
      "strengths": [
        {
          "en": "Excellent latency for multimodal interfaces",
          "zh-TW": "多模態介面的延遲表現很優秀"
        },
        {
          "en": "Very compelling value for large-scale ingestion",
          "zh-TW": "大規模資料吞吐時成本效益佳"
        }
      ],
      "caveats": [
        {
          "en": "Reasoning depth trails premium frontier models",
          "zh-TW": "推理深度仍落後旗艦級模型"
        },
        {
          "en": "May need a higher-tier fallback for sensitive outputs",
          "zh-TW": "高敏感輸出情境可能需要更高階備援模型"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
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      "status": "active",
      "displayName": "Gemini 2.5 Flash",
      "summary": {
        "en": "Low-latency multimodal workhorse for assistant surfaces, routing layers, and lightweight agent execution.",
        "zh-TW": "低延遲多模態工作馬，適合助理介面、路由層與輕量 agent 執行。"
      },
      "bestFor": [
        "agent-automation",
        "research"
      ],
      "sourceRefs": [
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          "id": "official-site:gemini-2-5-flash-official",
          "label": "Gemini 2.5 Flash official",
          "url": "https://ai.google.dev/gemini-api",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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          ]
        },
        {
          "id": "official-docs:gemini-2-5-flash-docs",
          "label": "Gemini 2.5 Flash docs",
          "url": "https://ai.google.dev/gemini-api/docs/models",
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          "fieldPaths": [
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        },
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          "id": "pricing-page:gemini-2-5-flash-pricing",
          "label": "Gemini 2.5 Flash pricing",
          "url": "https://ai.google.dev/gemini-api/docs/pricing",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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        },
        {
          "id": "manual-review:gemini-2-5-flash-verdictlens-review",
          "label": "Gemini 2.5 Flash VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
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      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "grok-3-beta",
      "name": "Grok 3 Beta",
      "family": "Grok 3",
      "providerId": "xai",
      "officialUrl": "https://x.ai/",
      "docsUrl": "https://docs.x.ai/",
      "description": {
        "en": "Strong real-time orientation and increasingly capable reasoning model with distinctive web freshness advantages.",
        "zh-TW": "偏向即時資訊場景、推理能力持續增強，且具備新鮮網路資訊優勢的模型。"
      },
      "modalities": [
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        "image",
        "tools"
      ],
      "modalityProfile": {
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      "contextWindow": "256K",
      "pricing": {
        "input": "$5 / 1M tok",
        "output": "$15 / 1M tok",
        "inputUsdPerMillion": "5",
        "outputUsdPerMillion": "15"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "webSearch": true
      },
      "overallScore": 83,
      "scores": {
        "capability": 86,
        "useCaseFitness": 84,
        "costEfficiency": 74,
        "speed": 86,
        "reliability": 80,
        "agentReadiness": 78,
        "ecosystem": 79
      },
      "bestUseCases": [
        "research"
      ],
      "worksWith": [
        "Fresh web scans",
        "Market monitoring",
        "social-context workflows"
      ],
      "tags": [
        "web-aware",
        "analysis",
        "realtime"
      ],
      "strengths": [
        {
          "en": "Useful when freshness matters",
          "zh-TW": "重視資訊新鮮度時很有價值"
        },
        {
          "en": "Confident long-form synthesis style",
          "zh-TW": "長文整合輸出風格有辨識度"
        }
      ],
      "caveats": [
        {
          "en": "Ecosystem and enterprise controls still maturing",
          "zh-TW": "生態與企業級控制面仍在成熟中"
        },
        {
          "en": "Less proven for complex agent loops",
          "zh-TW": "複雜 agent loop 的實戰驗證較少"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "status": "preview",
      "id": "model:grok-3-beta",
      "displayName": "Grok 3 Beta",
      "summary": {
        "en": "Strong real-time orientation and increasingly capable reasoning model with distinctive web freshness advantages.",
        "zh-TW": "偏向即時資訊場景、推理能力持續增強，且具備新鮮網路資訊優勢的模型。"
      },
      "bestFor": [
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-site:grok-3-beta-official",
          "label": "Grok 3 Beta official",
          "url": "https://x.ai/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:grok-3-beta-docs",
          "label": "Grok 3 Beta docs",
          "url": "https://docs.x.ai/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:grok-3-beta-verdictlens-review",
          "label": "Grok 3 Beta VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "deepseek-r1",
      "name": "DeepSeek R1",
      "family": "DeepSeek",
      "providerId": "deepseek",
      "officialUrl": "https://www.deepseek.com/",
      "docsUrl": "https://api-docs.deepseek.com/",
      "description": {
        "en": "High-value reasoning model that punches above its price tier for technical problem solving and analytical depth.",
        "zh-TW": "高性價比推理模型，在技術解題與分析深度上常有超出價格帶的表現。"
      },
      "modalities": [
        "text"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "file"
        ],
        "output": [
          "text"
        ]
      },
      "contextWindow": "128K",
      "pricing": {
        "input": "$0.55 / 1M tok",
        "output": "$2.2 / 1M tok",
        "inputUsdPerMillion": "0.55",
        "outputUsdPerMillion": "2.2"
      },
      "speedCategory": "Deliberate",
      "toolSupport": {
        "functionCalling": true
      },
      "overallScore": 85,
      "scores": {
        "capability": 90,
        "useCaseFitness": 86,
        "costEfficiency": 97,
        "speed": 67,
        "reliability": 81,
        "agentReadiness": 76,
        "ecosystem": 73
      },
      "bestUseCases": [
        "coding",
        "research"
      ],
      "worksWith": [
        "Cost-sensitive reasoning stacks",
        "batch analysis",
        "fallback reasoning lanes"
      ],
      "tags": [
        "reasoning",
        "value",
        "math"
      ],
      "strengths": [
        {
          "en": "Very attractive for reasoning-heavy workloads on a budget",
          "zh-TW": "預算有限時做重推理任務非常划算"
        },
        {
          "en": "Strong analytical style for math and code",
          "zh-TW": "在數學與程式分析上表現強勢"
        }
      ],
      "caveats": [
        {
          "en": "Latency and ecosystem maturity remain trade-offs",
          "zh-TW": "延遲與生態成熟度仍是代價"
        },
        {
          "en": "Operational guarantees vary by deployment path",
          "zh-TW": "不同部署路徑下的穩定性保證不一"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:deepseek-r1",
      "status": "active",
      "displayName": "DeepSeek R1",
      "summary": {
        "en": "High-value reasoning model that punches above its price tier for technical problem solving and analytical depth.",
        "zh-TW": "高性價比推理模型，在技術解題與分析深度上常有超出價格帶的表現。"
      },
      "bestFor": [
        "coding",
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-site:deepseek-r1-official",
          "label": "DeepSeek R1 official",
          "url": "https://www.deepseek.com/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:deepseek-r1-docs",
          "label": "DeepSeek R1 docs",
          "url": "https://api-docs.deepseek.com/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:deepseek-r1-verdictlens-review",
          "label": "DeepSeek R1 VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "llama-4-maverick",
      "name": "Llama 4 Maverick",
      "family": "Llama 4",
      "providerId": "meta",
      "officialUrl": "https://ai.meta.com/llama/",
      "docsUrl": "https://ai.meta.com/llama/",
      "description": {
        "en": "Flexible open-weight option with broad community experimentation and strong customization potential.",
        "zh-TW": "彈性高的開放權重模型，社群實驗豐富，客製化潛力強。"
      },
      "modalities": [
        "text",
        "image"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text"
        ]
      },
      "contextWindow": "256K",
      "pricing": {
        "input": "Self-host / variable",
        "output": "Self-host / variable",
        "notes": "Depends on infra and serving path."
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true
      },
      "overallScore": 80,
      "scores": {
        "capability": 84,
        "useCaseFitness": 82,
        "costEfficiency": 88,
        "speed": 79,
        "reliability": 77,
        "agentReadiness": 75,
        "ecosystem": 89
      },
      "bestUseCases": [
        "agent-automation",
        "research"
      ],
      "worksWith": [
        "self-hosted inference",
        "vector retrieval",
        "custom fine-tuning"
      ],
      "tags": [
        "open-weight",
        "customizable",
        "self-hosted"
      ],
      "strengths": [
        {
          "en": "Strong fit for teams that need control and self-hosting",
          "zh-TW": "需要掌控權與自架的團隊會很適合"
        },
        {
          "en": "Community momentum creates many integration paths",
          "zh-TW": "社群動能帶來豐富整合方式"
        }
      ],
      "caveats": [
        {
          "en": "Production quality depends heavily on deployment discipline",
          "zh-TW": "正式環境品質非常依賴部署水準"
        },
        {
          "en": "Benchmark strength does not always translate to polished UX",
          "zh-TW": "benchmark 成績不一定等於實際體驗成熟"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:llama-4-maverick",
      "status": "active",
      "displayName": "Llama 4 Maverick",
      "summary": {
        "en": "Flexible open-weight option with broad community experimentation and strong customization potential.",
        "zh-TW": "彈性高的開放權重模型，社群實驗豐富，客製化潛力強。"
      },
      "bestFor": [
        "agent-automation",
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-site:llama-4-maverick-official",
          "label": "Llama 4 Maverick official",
          "url": "https://ai.meta.com/llama/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:llama-4-maverick-docs",
          "label": "Llama 4 Maverick docs",
          "url": "https://ai.meta.com/llama/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:llama-4-maverick-verdictlens-review",
          "label": "Llama 4 Maverick VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "qwen-3-max",
      "name": "Qwen 3 Max",
      "family": "Qwen 3",
      "providerId": "alibaba-cloud",
      "officialUrl": "https://www.alibabacloud.com/product/model-studio",
      "docsUrl": "https://www.alibabacloud.com/help/en/model-studio/",
      "description": {
        "en": "Ambitious frontier contender with strong multilingual performance and good enterprise utility across Asian markets.",
        "zh-TW": "具競爭力的前沿模型，在多語言尤其亞洲市場企業場景中有不錯表現。"
      },
      "modalities": [
        "text",
        "image",
        "tools"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "256K",
      "pricing": {
        "input": "$2.4 / 1M tok",
        "output": "$9 / 1M tok",
        "inputUsdPerMillion": "2.4",
        "outputUsdPerMillion": "9"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true
      },
      "overallScore": 84,
      "scores": {
        "capability": 88,
        "useCaseFitness": 85,
        "costEfficiency": 86,
        "speed": 82,
        "reliability": 82,
        "agentReadiness": 80,
        "ecosystem": 81
      },
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "multilingual support workflows",
        "enterprise copilots",
        "Asian-market products"
      ],
      "tags": [
        "multilingual",
        "enterprise",
        "asia"
      ],
      "strengths": [
        {
          "en": "Strong multilingual coverage and pragmatic enterprise fit",
          "zh-TW": "多語能力強，企業落地實用度高"
        },
        {
          "en": "Balanced performance profile without extreme weaknesses",
          "zh-TW": "整體表現均衡，沒有明顯短板"
        }
      ],
      "caveats": [
        {
          "en": "Global ecosystem mindshare is still catching up",
          "zh-TW": "全球生態心智仍在追趕中"
        },
        {
          "en": "Docs and examples can vary by region",
          "zh-TW": "文件與案例完整度因地區而異"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:qwen-3-max",
      "status": "active",
      "displayName": "Qwen 3 Max",
      "summary": {
        "en": "Ambitious frontier contender with strong multilingual performance and good enterprise utility across Asian markets.",
        "zh-TW": "具競爭力的前沿模型，在多語言尤其亞洲市場企業場景中有不錯表現。"
      },
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-site:qwen-3-max-official",
          "label": "Qwen 3 Max official",
          "url": "https://www.alibabacloud.com/product/model-studio",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:qwen-3-max-docs",
          "label": "Qwen 3 Max docs",
          "url": "https://www.alibabacloud.com/help/en/model-studio/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:qwen-3-max-verdictlens-review",
          "label": "Qwen 3 Max VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "mistral-large-2",
      "name": "Mistral Large 2",
      "family": "Mistral Large",
      "providerId": "mistral",
      "officialUrl": "https://mistral.ai/products/la-plateforme",
      "docsUrl": "https://docs.mistral.ai/",
      "pricingUrl": "https://mistral.ai/pricing",
      "description": {
        "en": "European flagship model with solid reasoning, concise style, and attractive deployment flexibility.",
        "zh-TW": "歐洲旗艦模型，具備紮實推理、精簡風格與靈活部署優勢。"
      },
      "modalities": [
        "text",
        "image"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "image",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "128K",
      "pricing": {
        "input": "$2 / 1M tok",
        "output": "$6 / 1M tok",
        "inputUsdPerMillion": "2",
        "outputUsdPerMillion": "6"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true
      },
      "overallScore": 82,
      "scores": {
        "capability": 84,
        "useCaseFitness": 83,
        "costEfficiency": 87,
        "speed": 84,
        "reliability": 81,
        "agentReadiness": 78,
        "ecosystem": 78
      },
      "bestUseCases": [
        "research",
        "coding"
      ],
      "worksWith": [
        "EU deployment needs",
        "internal copilots",
        "API-first stacks"
      ],
      "tags": [
        "enterprise",
        "concise",
        "eu"
      ],
      "strengths": [
        {
          "en": "Clean enterprise-friendly posture and deployment options",
          "zh-TW": "企業友善姿態與部署選項清楚"
        },
        {
          "en": "Good balance between cost and reasoning quality",
          "zh-TW": "成本與推理品質之間取得不錯平衡"
        }
      ],
      "caveats": [
        {
          "en": "Ecosystem is smaller than the hyperscaler leaders",
          "zh-TW": "生態規模仍小於超大平台領先者"
        },
        {
          "en": "Less differentiated for multimodal-heavy product surfaces",
          "zh-TW": "對多模態產品面來說差異化較少"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:mistral-large-2",
      "status": "active",
      "displayName": "Mistral Large 2",
      "summary": {
        "en": "European flagship model with solid reasoning, concise style, and attractive deployment flexibility.",
        "zh-TW": "歐洲旗艦模型，具備紮實推理、精簡風格與靈活部署優勢。"
      },
      "bestFor": [
        "research",
        "coding"
      ],
      "sourceRefs": [
        {
          "id": "official-site:mistral-large-2-official",
          "label": "Mistral Large 2 official",
          "url": "https://mistral.ai/products/la-plateforme",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:mistral-large-2-docs",
          "label": "Mistral Large 2 docs",
          "url": "https://docs.mistral.ai/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "pricing-page:mistral-large-2-pricing",
          "label": "Mistral Large 2 pricing",
          "url": "https://mistral.ai/pricing",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "pricing"
          ]
        },
        {
          "id": "manual-review:mistral-large-2-verdictlens-review",
          "label": "Mistral Large 2 VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "command-a",
      "name": "Command A",
      "family": "Command",
      "providerId": "cohere",
      "officialUrl": "https://cohere.com/",
      "docsUrl": "https://docs.cohere.com/",
      "pricingUrl": "https://cohere.com/pricing",
      "description": {
        "en": "Enterprise-oriented model with strong retrieval posture, business language handling, and dependable workflow integration.",
        "zh-TW": "偏企業導向的模型，適合檢索增強、商務語言處理與穩定工作流整合。"
      },
      "modalities": [
        "text",
        "tools"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "file"
        ],
        "output": [
          "text",
          "json"
        ]
      },
      "contextWindow": "256K",
      "pricing": {
        "input": "$2 / 1M tok",
        "output": "$8 / 1M tok",
        "inputUsdPerMillion": "2",
        "outputUsdPerMillion": "8"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "functionCalling": true,
        "structuredOutput": true
      },
      "overallScore": 81,
      "scores": {
        "capability": 82,
        "useCaseFitness": 84,
        "costEfficiency": 83,
        "speed": 82,
        "reliability": 84,
        "agentReadiness": 79,
        "ecosystem": 77
      },
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "RAG stacks",
        "enterprise search",
        "business writing workflows"
      ],
      "tags": [
        "enterprise",
        "retrieval",
        "workflow"
      ],
      "strengths": [
        {
          "en": "Strong fit for internal knowledge workflows",
          "zh-TW": "很適合內部知識工作流"
        },
        {
          "en": "Dependable enterprise integration story",
          "zh-TW": "企業整合敘事穩定可信"
        }
      ],
      "caveats": [
        {
          "en": "Less mindshare in cutting-edge coding circles",
          "zh-TW": "在最前沿 coding 圈中的心智較弱"
        },
        {
          "en": "Not the most exciting pick for multimodal experiences",
          "zh-TW": "多模態體驗不是它的主打強項"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:command-a",
      "status": "active",
      "displayName": "Command A",
      "summary": {
        "en": "Enterprise-oriented model with strong retrieval posture, business language handling, and dependable workflow integration.",
        "zh-TW": "偏企業導向的模型，適合檢索增強、商務語言處理與穩定工作流整合。"
      },
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-site:command-a-official",
          "label": "Command A official",
          "url": "https://cohere.com/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:command-a-docs",
          "label": "Command A docs",
          "url": "https://docs.cohere.com/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "pricing-page:command-a-pricing",
          "label": "Command A pricing",
          "url": "https://cohere.com/pricing",
          "kind": "pricing-page",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "pricing"
          ]
        },
        {
          "id": "manual-review:command-a-verdictlens-review",
          "label": "Command A VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "perplexity-sonar-reasoning-pro",
      "name": "Sonar Reasoning Pro",
      "family": "Sonar",
      "providerId": "perplexity",
      "officialUrl": "https://www.perplexity.ai/hub/blog/sonar",
      "docsUrl": "https://docs.perplexity.ai/",
      "description": {
        "en": "Research-first model experience optimized for answer grounding, current web synthesis, and citation-friendly output.",
        "zh-TW": "偏研究導向的模型體驗，強調有根據的答案、即時網頁整合與引用友善輸出。"
      },
      "modalities": [
        "text",
        "web"
      ],
      "modalityProfile": {
        "input": [
          "text",
          "file"
        ],
        "output": [
          "text"
        ]
      },
      "contextWindow": "128K",
      "pricing": {
        "input": "$2 / 1M tok",
        "output": "$8 / 1M tok",
        "inputUsdPerMillion": "2",
        "outputUsdPerMillion": "8"
      },
      "speedCategory": "Balanced",
      "toolSupport": {
        "webSearch": true
      },
      "overallScore": 83,
      "scores": {
        "capability": 85,
        "useCaseFitness": 89,
        "costEfficiency": 82,
        "speed": 80,
        "reliability": 84,
        "agentReadiness": 74,
        "ecosystem": 76
      },
      "bestUseCases": [
        "research"
      ],
      "worksWith": [
        "citation-heavy briefs",
        "market scans",
        "answer-grounding workflows"
      ],
      "tags": [
        "research",
        "citations",
        "web"
      ],
      "strengths": [
        {
          "en": "Great for research UX with source visibility",
          "zh-TW": "研究型體驗下可見來源這點很有優勢"
        },
        {
          "en": "Useful for analyst workflows that need current context",
          "zh-TW": "需要即時背景的分析流程相當適合"
        }
      ],
      "caveats": [
        {
          "en": "Not a primary choice for tool-heavy coding agents",
          "zh-TW": "不適合做工具密集的 coding agent 主力"
        },
        {
          "en": "Less control than fully orchestrated platform APIs",
          "zh-TW": "相比完整平台 API，可控性較低"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "model:perplexity-sonar-reasoning-pro",
      "status": "active",
      "displayName": "Sonar Reasoning Pro",
      "summary": {
        "en": "Research-first model experience optimized for answer grounding, current web synthesis, and citation-friendly output.",
        "zh-TW": "偏研究導向的模型體驗，強調有根據的答案、即時網頁整合與引用友善輸出。"
      },
      "bestFor": [
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-site:sonar-reasoning-pro-official",
          "label": "Sonar Reasoning Pro official",
          "url": "https://www.perplexity.ai/hub/blog/sonar",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "official-docs:sonar-reasoning-pro-docs",
          "label": "Sonar Reasoning Pro docs",
          "url": "https://docs.perplexity.ai/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:sonar-reasoning-pro-verdictlens-review",
          "label": "Sonar Reasoning Pro VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "strengths",
            "caveats"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    }
  ],
  "skills": [
    {
      "slug": "codex-cli",
      "name": "Codex CLI",
      "category": "Coding agent",
      "skillType": "coding",
      "officialUrl": "https://github.com/openai/codex",
      "repoUrl": "https://github.com/openai/codex",
      "preferredSourceUrl": "https://github.com/openai/codex",
      "officialSourceLabel": "GitHub",
      "description": {
        "en": "Terminal-native coding agent workflow for implementing features, refactors, and technical reviews from a real repo.",
        "zh-TW": "終端機原生的 coding agent 工作流，可直接在真實 repo 中完成功能、重構與技術審查。"
      },
      "providerId": "openai",
      "supportedProviderIds": [
        "openai"
      ],
      "supportedHosts": [
        "CLI",
        "Repo workspace"
      ],
      "capabilities": [
        "multi-file edits",
        "repo-aware execution",
        "review loops",
        "commit assistance"
      ],
      "auth": {
        "type": "api-key",
        "notes": "Requires provider auth and repo access."
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Acts directly inside repositories."
      },
      "installDifficulty": "Moderate",
      "installMethod": "npm",
      "deployment": "local",
      "utilityScore": 95,
      "compatibilityScore": 86,
      "reliabilityScore": 89,
      "docsScore": 84,
      "adoptionScore": 88,
      "safetyMaintenanceScore": 78,
      "overallScore": 88,
      "bestUseCases": [
        "coding",
        "agent-automation"
      ],
      "worksWith": [
        "OpenAI models",
        "Git repos",
        "terminal-first dev workflows"
      ],
      "tags": [
        "terminal",
        "repo-aware",
        "coding"
      ],
      "strengths": [
        {
          "en": "Excellent for shipping actual code, not just snippets",
          "zh-TW": "擅長交付真正可執行的程式碼，而不只是片段"
        },
        {
          "en": "Strong fit for agent-orchestrated development loops",
          "zh-TW": "非常適合 agent 協作式開發流程"
        }
      ],
      "caveats": [
        {
          "en": "Requires a disciplined repo environment and trust boundaries",
          "zh-TW": "需要乾淨 repo 環境與清楚的信任邊界"
        },
        {
          "en": "Interactive behavior benefits from PTY-capable tooling",
          "zh-TW": "互動型行為很依賴支援 PTY 的工具環境"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:codex-cli",
      "status": "active",
      "displayName": "Codex CLI",
      "summary": {
        "en": "Terminal-native coding agent workflow for implementing features, refactors, and technical reviews from a real repo.",
        "zh-TW": "終端機原生的 coding agent 工作流，可直接在真實 repo 中完成功能、重構與技術審查。"
      },
      "setupDifficulty": "moderate",
      "bestFor": [
        "coding",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "github:codex-cli-repo",
          "label": "Codex CLI repo",
          "url": "https://github.com/openai/codex",
          "kind": "github",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "repoUrl"
          ]
        },
        {
          "id": "manual-review:codex-cli-verdictlens-review",
          "label": "Codex CLI VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "claude-code",
      "name": "Claude Code",
      "category": "Coding agent",
      "skillType": "coding",
      "officialUrl": "https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview",
      "docsUrl": "https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview",
      "preferredSourceUrl": "https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview",
      "officialSourceLabel": "Docs",
      "description": {
        "en": "Strong coding and refactor assistant with especially high-quality explanations and calm change planning.",
        "zh-TW": "擅長程式與重構的助理，特別強在高品質說明與穩健的變更規劃。"
      },
      "providerId": "anthropic",
      "supportedProviderIds": [
        "anthropic"
      ],
      "supportedHosts": [
        "CLI",
        "Repo workspace"
      ],
      "capabilities": [
        "diff-aware refactors",
        "code review feedback",
        "change planning"
      ],
      "auth": {
        "type": "api-key"
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Designed for direct codebase operations."
      },
      "installDifficulty": "Moderate",
      "installMethod": "npm",
      "deployment": "local",
      "utilityScore": 92,
      "compatibilityScore": 84,
      "reliabilityScore": 91,
      "docsScore": 86,
      "adoptionScore": 83,
      "safetyMaintenanceScore": 80,
      "overallScore": 87,
      "bestUseCases": [
        "coding"
      ],
      "worksWith": [
        "Anthropic models",
        "repo refactors",
        "review-oriented workflows"
      ],
      "tags": [
        "coding",
        "refactor",
        "terminal"
      ],
      "strengths": [
        {
          "en": "Great at diff-aware edits and review-style feedback",
          "zh-TW": "很擅長 diff-aware 修改與 review 式回饋"
        },
        {
          "en": "Output quality is especially readable for teams",
          "zh-TW": "輸出可讀性高，團隊協作很舒服"
        }
      ],
      "caveats": [
        {
          "en": "Tool conventions differ from PTY-first coding agents",
          "zh-TW": "工具操作習慣與 PTY 型 coding agent 不同"
        },
        {
          "en": "Best performance assumes a clean, well-scoped prompt",
          "zh-TW": "要發揮最佳效果，提示範圍需要夠清楚"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:claude-code",
      "status": "active",
      "displayName": "Claude Code",
      "summary": {
        "en": "Strong coding and refactor assistant with especially high-quality explanations and calm change planning.",
        "zh-TW": "擅長程式與重構的助理，特別強在高品質說明與穩健的變更規劃。"
      },
      "setupDifficulty": "moderate",
      "bestFor": [
        "coding"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:claude-code-docs",
          "label": "Claude Code docs",
          "url": "https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:claude-code-verdictlens-review",
          "label": "Claude Code VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "langgraph",
      "name": "LangGraph",
      "category": "Agent orchestration",
      "skillType": "workflow",
      "officialUrl": "https://langchain-ai.github.io/langgraph/",
      "docsUrl": "https://langchain-ai.github.io/langgraph/",
      "preferredSourceUrl": "https://langchain-ai.github.io/langgraph/",
      "officialSourceLabel": "Docs",
      "description": {
        "en": "Graph-based runtime for durable agent workflows, branching logic, and stateful multi-step execution.",
        "zh-TW": "圖狀工作流框架，適合有狀態、多分支、可恢復的 agent 執行流程。"
      },
      "supportedProviderIds": [
        "openai",
        "anthropic",
        "google",
        "meta"
      ],
      "supportedHosts": [
        "Python apps",
        "Node apps",
        "agent backends"
      ],
      "capabilities": [
        "durable state",
        "branching",
        "multi-agent routing",
        "checkpointing"
      ],
      "auth": {
        "type": "none"
      },
      "permissionProfile": {
        "level": "medium",
        "notes": "Depends on connected tools and model permissions."
      },
      "installDifficulty": "Advanced",
      "installMethod": "pip",
      "deployment": "hybrid",
      "utilityScore": 93,
      "compatibilityScore": 90,
      "reliabilityScore": 88,
      "docsScore": 82,
      "adoptionScore": 84,
      "safetyMaintenanceScore": 76,
      "overallScore": 86,
      "bestUseCases": [
        "agent-automation",
        "research"
      ],
      "worksWith": [
        "OpenAI",
        "Anthropic",
        "Google",
        "tool-rich workflows"
      ],
      "tags": [
        "graph",
        "state",
        "multi-agent"
      ],
      "strengths": [
        {
          "en": "Excellent for non-trivial agent state machines",
          "zh-TW": "處理複雜 agent 狀態機非常好用"
        },
        {
          "en": "Supports inspection and controlled branching",
          "zh-TW": "方便觀察狀態與控制分支邏輯"
        }
      ],
      "caveats": [
        {
          "en": "More framework overhead than simple workflow tools",
          "zh-TW": "相較簡單工作流工具，框架負擔較大"
        },
        {
          "en": "Teams need architectural discipline to avoid graph sprawl",
          "zh-TW": "若缺乏架構紀律，圖會很快失控"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:langgraph",
      "status": "active",
      "displayName": "LangGraph",
      "summary": {
        "en": "Graph-based runtime for durable agent workflows, branching logic, and stateful multi-step execution.",
        "zh-TW": "圖狀工作流框架，適合有狀態、多分支、可恢復的 agent 執行流程。"
      },
      "setupDifficulty": "advanced",
      "bestFor": [
        "agent-automation",
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:langgraph-docs",
          "label": "LangGraph docs",
          "url": "https://langchain-ai.github.io/langgraph/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:langgraph-verdictlens-review",
          "label": "LangGraph VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "n8n",
      "name": "n8n",
      "category": "Automation",
      "skillType": "workflow",
      "officialUrl": "https://n8n.io/",
      "docsUrl": "https://docs.n8n.io/",
      "preferredSourceUrl": "https://docs.n8n.io/",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Popular workflow builder for gluing APIs, LLM calls, and back-office tasks into practical automations.",
        "zh-TW": "高人氣工作流工具，適合把 API、LLM 呼叫與後台作業串成實用自動化。"
      },
      "supportedProviderIds": [
        "openai",
        "anthropic",
        "google",
        "cohere"
      ],
      "supportedHosts": [
        "Hosted app",
        "Self-hosted",
        "browser UI"
      ],
      "capabilities": [
        "drag-and-drop workflows",
        "connectors",
        "scheduled automations",
        "webhooks"
      ],
      "auth": {
        "type": "oauth"
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Often touches production systems and SaaS accounts."
      },
      "installDifficulty": "Easy",
      "installMethod": "hosted",
      "deployment": "hybrid",
      "utilityScore": 90,
      "compatibilityScore": 92,
      "reliabilityScore": 84,
      "docsScore": 83,
      "adoptionScore": 91,
      "safetyMaintenanceScore": 74,
      "overallScore": 86,
      "bestUseCases": [
        "agent-automation"
      ],
      "worksWith": [
        "SaaS connectors",
        "LLM APIs",
        "ops workflows"
      ],
      "tags": [
        "workflow",
        "low-code",
        "integrations"
      ],
      "strengths": [
        {
          "en": "One of the fastest paths from idea to working automation",
          "zh-TW": "從想法走到可運作自動化流程的速度非常快"
        },
        {
          "en": "Huge connector surface for business operations",
          "zh-TW": "商務整合連接器非常多"
        }
      ],
      "caveats": [
        {
          "en": "Complex flows can become visually messy",
          "zh-TW": "複雜流程容易變得視覺上凌亂"
        },
        {
          "en": "Still needs governance when touching sensitive systems",
          "zh-TW": "碰到敏感系統時仍需要治理與權限控管"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:n8n",
      "status": "active",
      "displayName": "n8n",
      "summary": {
        "en": "Popular workflow builder for gluing APIs, LLM calls, and back-office tasks into practical automations.",
        "zh-TW": "高人氣工作流工具，適合把 API、LLM 呼叫與後台作業串成實用自動化。"
      },
      "setupDifficulty": "easy",
      "bestFor": [
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:n8n-docs",
          "label": "n8n docs",
          "url": "https://docs.n8n.io/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:n8n-official",
          "label": "n8n official",
          "url": "https://n8n.io/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:n8n-verdictlens-review",
          "label": "n8n VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
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            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "playwright",
      "name": "Playwright",
      "category": "Browser automation",
      "skillType": "browser",
      "officialUrl": "https://playwright.dev/",
      "docsUrl": "https://playwright.dev/docs/intro",
      "preferredSourceUrl": "https://playwright.dev/docs/intro",
      "officialSourceLabel": "Docs",
      "description": {
        "en": "Reliable browser automation layer for agent actions, QA checks, scraping flows, and human-in-the-loop web tasks.",
        "zh-TW": "可靠的瀏覽器自動化層，適合 agent 操作、QA 檢查、爬取流程與人機協作網頁任務。"
      },
      "supportedProviderIds": [
        "any"
      ],
      "supportedHosts": [
        "Node apps",
        "Python apps",
        "browser testing environments"
      ],
      "capabilities": [
        "browser control",
        "test automation",
        "web extraction",
        "human-in-the-loop actions"
      ],
      "auth": {
        "type": "none"
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Acts on external web surfaces and authenticated sessions."
      },
      "installDifficulty": "Moderate",
      "installMethod": "npm",
      "deployment": "local",
      "utilityScore": 91,
      "compatibilityScore": 95,
      "reliabilityScore": 90,
      "docsScore": 90,
      "adoptionScore": 89,
      "safetyMaintenanceScore": 71,
      "overallScore": 88,
      "bestUseCases": [
        "agent-automation",
        "research"
      ],
      "worksWith": [
        "any model",
        "web-actuation stacks",
        "QA automation"
      ],
      "tags": [
        "browser",
        "qa",
        "web"
      ],
      "strengths": [
        {
          "en": "Production-grade browser control with testable steps",
          "zh-TW": "可測試且偏正式環境的瀏覽器控制能力"
        },
        {
          "en": "Pairs well with agents that need a web actuator",
          "zh-TW": "很適合當 agent 的網頁操作手腳"
        }
      ],
      "caveats": [
        {
          "en": "Requires careful handling of flaky sites and auth flows",
          "zh-TW": "面對不穩網站與登入流程時要特別處理"
        },
        {
          "en": "Maintenance cost rises when UI targets change often",
          "zh-TW": "目標網站 UI 常變時維護成本會升高"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:playwright",
      "status": "active",
      "displayName": "Playwright",
      "summary": {
        "en": "Reliable browser automation layer for agent actions, QA checks, scraping flows, and human-in-the-loop web tasks.",
        "zh-TW": "可靠的瀏覽器自動化層，適合 agent 操作、QA 檢查、爬取流程與人機協作網頁任務。"
      },
      "setupDifficulty": "moderate",
      "bestFor": [
        "agent-automation",
        "research"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:playwright-docs",
          "label": "Playwright docs",
          "url": "https://playwright.dev/docs/intro",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:playwright-official",
          "label": "Playwright official",
          "url": "https://playwright.dev/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:playwright-verdictlens-review",
          "label": "Playwright VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "openai-whisper",
      "name": "OpenAI Whisper",
      "category": "Speech to text",
      "skillType": "extraction",
      "officialUrl": "https://github.com/openai/whisper",
      "repoUrl": "https://github.com/openai/whisper",
      "preferredSourceUrl": "https://github.com/openai/whisper",
      "officialSourceLabel": "GitHub",
      "description": {
        "en": "Battle-tested transcription layer for meetings, podcasts, multilingual notes, and voice-driven workflows.",
        "zh-TW": "成熟穩定的語音轉文字層，適合會議、Podcast、多語筆記與語音工作流。"
      },
      "providerId": "openai",
      "supportedProviderIds": [
        "openai",
        "local"
      ],
      "supportedHosts": [
        "CLI",
        "Python apps",
        "local pipelines"
      ],
      "capabilities": [
        "speech-to-text",
        "multilingual transcription",
        "batch audio processing"
      ],
      "auth": {
        "type": "none",
        "notes": "Local model usage does not require hosted auth."
      },
      "permissionProfile": {
        "level": "low"
      },
      "installDifficulty": "Easy",
      "installMethod": "pip",
      "deployment": "local",
      "utilityScore": 87,
      "compatibilityScore": 89,
      "reliabilityScore": 91,
      "docsScore": 84,
      "adoptionScore": 92,
      "safetyMaintenanceScore": 82,
      "overallScore": 87,
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "audio pipelines",
        "meeting notes",
        "local transcription stacks"
      ],
      "tags": [
        "audio",
        "transcription",
        "multilingual"
      ],
      "strengths": [
        {
          "en": "Still one of the most dependable transcription building blocks",
          "zh-TW": "依然是最可靠的轉錄基礎元件之一"
        },
        {
          "en": "Useful across local and API-backed pipelines",
          "zh-TW": "可同時用於本地與 API 型流程"
        }
      ],
      "caveats": [
        {
          "en": "Not a full audio intelligence stack by itself",
          "zh-TW": "它本身不是完整音訊 intelligence stack"
        },
        {
          "en": "Post-processing is still needed for polished summaries",
          "zh-TW": "要做漂亮摘要仍需後處理"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:openai-whisper",
      "status": "active",
      "displayName": "OpenAI Whisper",
      "summary": {
        "en": "Battle-tested transcription layer for meetings, podcasts, multilingual notes, and voice-driven workflows.",
        "zh-TW": "成熟穩定的語音轉文字層，適合會議、Podcast、多語筆記與語音工作流。"
      },
      "setupDifficulty": "easy",
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "github:openai-whisper-repo",
          "label": "OpenAI Whisper repo",
          "url": "https://github.com/openai/whisper",
          "kind": "github",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "repoUrl"
          ]
        },
        {
          "id": "manual-review:openai-whisper-verdictlens-review",
          "label": "OpenAI Whisper VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "1password-cli",
      "name": "1Password CLI",
      "category": "Secrets",
      "skillType": "security",
      "officialUrl": "https://developer.1password.com/docs/cli/",
      "docsUrl": "https://developer.1password.com/docs/cli/",
      "preferredSourceUrl": "https://developer.1password.com/docs/cli/",
      "officialSourceLabel": "Docs",
      "description": {
        "en": "Practical secret access layer for agents and scripts that need secure credential injection without hardcoding.",
        "zh-TW": "讓 agent 與腳本安全讀取憑證的實用層，可避免把密鑰寫死在程式裡。"
      },
      "supportedProviderIds": [
        "any"
      ],
      "supportedHosts": [
        "CLI",
        "local scripts",
        "CI environments"
      ],
      "capabilities": [
        "secret injection",
        "vault access",
        "credential management"
      ],
      "auth": {
        "type": "local-config",
        "notes": "Requires local app/session sign-in."
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Touches secrets and credentials directly."
      },
      "installDifficulty": "Moderate",
      "installMethod": "manual",
      "deployment": "hybrid",
      "utilityScore": 86,
      "compatibilityScore": 88,
      "reliabilityScore": 93,
      "docsScore": 87,
      "adoptionScore": 80,
      "safetyMaintenanceScore": 94,
      "overallScore": 88,
      "bestUseCases": [
        "agent-automation",
        "coding"
      ],
      "worksWith": [
        "agent runtimes",
        "CI jobs",
        "local developer machines"
      ],
      "tags": [
        "secrets",
        "security",
        "cli"
      ],
      "strengths": [
        {
          "en": "Strong security posture for credential-heavy workflows",
          "zh-TW": "對憑證密集流程的安全姿態很強"
        },
        {
          "en": "Reduces copy-paste secret sprawl",
          "zh-TW": "能有效降低祕密資訊到處複製貼上的問題"
        }
      ],
      "caveats": [
        {
          "en": "Onboarding is slower than plain env files",
          "zh-TW": "上手速度比純 env 檔案慢一些"
        },
        {
          "en": "Desktop integration may be required for a smooth experience",
          "zh-TW": "順暢體驗通常需要桌面整合"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:1password-cli",
      "status": "active",
      "displayName": "1Password CLI",
      "summary": {
        "en": "Practical secret access layer for agents and scripts that need secure credential injection without hardcoding.",
        "zh-TW": "讓 agent 與腳本安全讀取憑證的實用層，可避免把密鑰寫死在程式裡。"
      },
      "setupDifficulty": "moderate",
      "bestFor": [
        "agent-automation",
        "coding"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:1password-cli-docs",
          "label": "1Password CLI docs",
          "url": "https://developer.1password.com/docs/cli/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "manual-review:1password-cli-verdictlens-review",
          "label": "1Password CLI VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "weaviate",
      "name": "Weaviate",
      "category": "Vector retrieval",
      "skillType": "connector",
      "officialUrl": "https://weaviate.io/",
      "docsUrl": "https://docs.weaviate.io/",
      "preferredSourceUrl": "https://docs.weaviate.io/",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Vector database and retrieval layer for grounding answers, semantic search, and memory-augmented agents.",
        "zh-TW": "向量資料庫與檢索層，適合做答案 grounding、語意搜尋與記憶增強 agent。"
      },
      "supportedProviderIds": [
        "openai",
        "anthropic",
        "google",
        "meta",
        "any"
      ],
      "supportedHosts": [
        "Cloud",
        "Self-hosted",
        "Kubernetes"
      ],
      "capabilities": [
        "vector search",
        "hybrid retrieval",
        "semantic memory",
        "RAG backends"
      ],
      "auth": {
        "type": "api-key"
      },
      "permissionProfile": {
        "level": "medium"
      },
      "installDifficulty": "Advanced",
      "installMethod": "hosted",
      "deployment": "hybrid",
      "utilityScore": 88,
      "compatibilityScore": 86,
      "reliabilityScore": 87,
      "docsScore": 80,
      "adoptionScore": 78,
      "safetyMaintenanceScore": 75,
      "overallScore": 82,
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "RAG systems",
        "memory-heavy agents",
        "semantic search"
      ],
      "tags": [
        "retrieval",
        "memory",
        "vector-db"
      ],
      "strengths": [
        {
          "en": "Useful backbone for high-recall retrieval systems",
          "zh-TW": "很適合做高召回檢索系統骨幹"
        },
        {
          "en": "Supports semantic memory architectures cleanly",
          "zh-TW": "支援語意記憶架構相當自然"
        }
      ],
      "caveats": [
        {
          "en": "Requires ongoing tuning for chunking and ranking quality",
          "zh-TW": "chunking 與排序品質需要持續調校"
        },
        {
          "en": "Infrastructure overhead is non-trivial",
          "zh-TW": "基礎設施維護成本不低"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:weaviate",
      "status": "active",
      "displayName": "Weaviate",
      "summary": {
        "en": "Vector database and retrieval layer for grounding answers, semantic search, and memory-augmented agents.",
        "zh-TW": "向量資料庫與檢索層，適合做答案 grounding、語意搜尋與記憶增強 agent。"
      },
      "setupDifficulty": "advanced",
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:weaviate-docs",
          "label": "Weaviate docs",
          "url": "https://docs.weaviate.io/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:weaviate-official",
          "label": "Weaviate official",
          "url": "https://weaviate.io/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:weaviate-verdictlens-review",
          "label": "Weaviate VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "serpapi",
      "name": "SerpApi",
      "category": "Research search",
      "skillType": "search",
      "officialUrl": "https://serpapi.com/",
      "docsUrl": "https://serpapi.com/search-api",
      "preferredSourceUrl": "https://serpapi.com/search-api",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Search data API that helps agents gather current web signals with consistent, parseable results.",
        "zh-TW": "搜尋資料 API，讓 agent 可以穩定取得最新網路訊號與易解析結果。"
      },
      "supportedProviderIds": [
        "any"
      ],
      "supportedHosts": [
        "API backends",
        "automation tools",
        "research stacks"
      ],
      "capabilities": [
        "search API",
        "SERP extraction",
        "current web signals"
      ],
      "auth": {
        "type": "api-key"
      },
      "permissionProfile": {
        "level": "low"
      },
      "installDifficulty": "Easy",
      "installMethod": "hosted",
      "deployment": "hosted",
      "utilityScore": 85,
      "compatibilityScore": 91,
      "reliabilityScore": 88,
      "docsScore": 85,
      "adoptionScore": 83,
      "safetyMaintenanceScore": 81,
      "overallScore": 85,
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "research agents",
        "market scans",
        "evidence gathering"
      ],
      "tags": [
        "search",
        "web",
        "signals"
      ],
      "strengths": [
        {
          "en": "Simple way to add current web signals to agents",
          "zh-TW": "快速幫 agent 補上即時網路資訊"
        },
        {
          "en": "More parseable than raw HTML scraping flows",
          "zh-TW": "比直接抓 HTML 更容易解析與維護"
        }
      ],
      "caveats": [
        {
          "en": "Search APIs still need ranking logic on top",
          "zh-TW": "搜尋 API 上層仍需要自行做 ranking 邏輯"
        },
        {
          "en": "Coverage quality depends on the target domain",
          "zh-TW": "不同領域的覆蓋品質會有差異"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:serpapi",
      "status": "active",
      "displayName": "SerpApi",
      "summary": {
        "en": "Search data API that helps agents gather current web signals with consistent, parseable results.",
        "zh-TW": "搜尋資料 API，讓 agent 可以穩定取得最新網路訊號與易解析結果。"
      },
      "setupDifficulty": "easy",
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:serpapi-docs",
          "label": "SerpApi docs",
          "url": "https://serpapi.com/search-api",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:serpapi-official",
          "label": "SerpApi official",
          "url": "https://serpapi.com/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:serpapi-verdictlens-review",
          "label": "SerpApi VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "mcp-toolbox",
      "name": "MCP Toolbox",
      "category": "Tool protocol",
      "skillType": "mcp",
      "officialUrl": "https://modelcontextprotocol.io/",
      "docsUrl": "https://modelcontextprotocol.io/introduction",
      "preferredSourceUrl": "https://modelcontextprotocol.io/introduction",
      "officialSourceLabel": "Docs",
      "description": {
        "en": "A practical toolbox around the Model Context Protocol for exposing actions, files, and resources to compatible agents.",
        "zh-TW": "圍繞 Model Context Protocol 的實用工具組，可把動作、檔案與資源暴露給相容 agent。"
      },
      "supportedProviderIds": [
        "openai",
        "anthropic",
        "any"
      ],
      "supportedHosts": [
        "desktop agents",
        "local runtimes",
        "tool servers"
      ],
      "capabilities": [
        "tool exposure",
        "resource sharing",
        "agent protocol normalization"
      ],
      "auth": {
        "type": "custom",
        "notes": "Depends on host and server design."
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Permission model depends on connected tools."
      },
      "installDifficulty": "Advanced",
      "installMethod": "manual",
      "deployment": "hybrid",
      "utilityScore": 89,
      "compatibilityScore": 82,
      "reliabilityScore": 81,
      "docsScore": 77,
      "adoptionScore": 79,
      "safetyMaintenanceScore": 73,
      "overallScore": 81,
      "bestUseCases": [
        "agent-automation",
        "coding"
      ],
      "worksWith": [
        "OpenAI-compatible agents",
        "Anthropic-compatible agents",
        "tool servers"
      ],
      "tags": [
        "mcp",
        "tools",
        "agent-interfaces"
      ],
      "strengths": [
        {
          "en": "Powerful abstraction for standardizing agent tools",
          "zh-TW": "很適合標準化 agent 工具介面"
        },
        {
          "en": "Helps decouple capabilities from model vendors",
          "zh-TW": "有助於把能力層從模型供應商中解耦"
        }
      ],
      "caveats": [
        {
          "en": "Protocol maturity and conventions are still evolving",
          "zh-TW": "協議成熟度與慣例仍在演進"
        },
        {
          "en": "Needs careful permission design",
          "zh-TW": "權限設計要做得很仔細"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:mcp-toolbox",
      "status": "active",
      "displayName": "MCP Toolbox",
      "summary": {
        "en": "A practical toolbox around the Model Context Protocol for exposing actions, files, and resources to compatible agents.",
        "zh-TW": "圍繞 Model Context Protocol 的實用工具組，可把動作、檔案與資源暴露給相容 agent。"
      },
      "setupDifficulty": "advanced",
      "bestFor": [
        "agent-automation",
        "coding"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:mcp-toolbox-docs",
          "label": "MCP Toolbox docs",
          "url": "https://modelcontextprotocol.io/introduction",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:mcp-toolbox-official",
          "label": "MCP Toolbox official",
          "url": "https://modelcontextprotocol.io/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:mcp-toolbox-verdictlens-review",
          "label": "MCP Toolbox VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "obsidian-memory-vault",
      "name": "Obsidian Memory Vault",
      "category": "Knowledge memory",
      "skillType": "memory",
      "officialUrl": "https://obsidian.md/",
      "docsUrl": "https://help.obsidian.md/",
      "preferredSourceUrl": "https://help.obsidian.md/",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Personal knowledge layer that turns agent memory into editable markdown instead of opaque hidden state.",
        "zh-TW": "把 agent 記憶做成可編輯 Markdown，而不是不可見黑盒狀態的個人知識層。"
      },
      "supportedProviderIds": [
        "any"
      ],
      "supportedHosts": [
        "desktop app",
        "local markdown repos"
      ],
      "capabilities": [
        "editable memory",
        "markdown knowledge base",
        "human-readable context"
      ],
      "auth": {
        "type": "none"
      },
      "permissionProfile": {
        "level": "medium",
        "notes": "Can expose personal knowledge if poorly scoped."
      },
      "installDifficulty": "Easy",
      "installMethod": "manual",
      "deployment": "local",
      "utilityScore": 84,
      "compatibilityScore": 86,
      "reliabilityScore": 85,
      "docsScore": 78,
      "adoptionScore": 76,
      "safetyMaintenanceScore": 88,
      "overallScore": 82,
      "bestUseCases": [
        "research",
        "agent-automation"
      ],
      "worksWith": [
        "assistant continuity",
        "markdown-based memory",
        "human review loops"
      ],
      "tags": [
        "memory",
        "markdown",
        "knowledge"
      ],
      "strengths": [
        {
          "en": "Human-readable memory is easier to trust and audit",
          "zh-TW": "人類可讀的記憶更容易信任與稽核"
        },
        {
          "en": "Pairs well with assistant continuity workflows",
          "zh-TW": "很適合有持續上下文需求的助理流程"
        }
      ],
      "caveats": [
        {
          "en": "Manual curation is still needed for quality",
          "zh-TW": "品質仍需要人工整理與維護"
        },
        {
          "en": "Not a substitute for robust retrieval design at scale",
          "zh-TW": "無法完全取代大規模檢索設計"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:obsidian-memory-vault",
      "status": "active",
      "displayName": "Obsidian Memory Vault",
      "summary": {
        "en": "Personal knowledge layer that turns agent memory into editable markdown instead of opaque hidden state.",
        "zh-TW": "把 agent 記憶做成可編輯 Markdown，而不是不可見黑盒狀態的個人知識層。"
      },
      "setupDifficulty": "easy",
      "bestFor": [
        "research",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:obsidian-memory-vault-docs",
          "label": "Obsidian Memory Vault docs",
          "url": "https://help.obsidian.md/",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:obsidian-memory-vault-official",
          "label": "Obsidian Memory Vault official",
          "url": "https://obsidian.md/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:obsidian-memory-vault-verdictlens-review",
          "label": "Obsidian Memory Vault VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "zapier-ai-actions",
      "name": "Zapier AI Actions",
      "category": "Automation",
      "skillType": "workflow",
      "officialUrl": "https://zapier.com/ai",
      "docsUrl": "https://zapier.com/apps",
      "preferredSourceUrl": "https://zapier.com/ai",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Fast path to business automation through prebuilt actions across SaaS tools and operational systems.",
        "zh-TW": "透過大量 SaaS 預建動作，快速把商務系統串成 AI 自動化流程。"
      },
      "supportedProviderIds": [
        "openai",
        "anthropic",
        "google",
        "any"
      ],
      "supportedHosts": [
        "Hosted app",
        "SaaS integrations",
        "browser UI"
      ],
      "capabilities": [
        "prebuilt actions",
        "business automation",
        "SaaS orchestration"
      ],
      "auth": {
        "type": "oauth"
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Can operate across business systems."
      },
      "installDifficulty": "Easy",
      "installMethod": "hosted",
      "deployment": "hosted",
      "utilityScore": 86,
      "compatibilityScore": 93,
      "reliabilityScore": 83,
      "docsScore": 84,
      "adoptionScore": 90,
      "safetyMaintenanceScore": 72,
      "overallScore": 84,
      "bestUseCases": [
        "agent-automation"
      ],
      "worksWith": [
        "SaaS-heavy businesses",
        "no-code ops teams",
        "AI action layers"
      ],
      "tags": [
        "business",
        "automation",
        "saas"
      ],
      "strengths": [
        {
          "en": "Very quick to launch high-value business automations",
          "zh-TW": "很快就能啟動高價值的商務自動化流程"
        },
        {
          "en": "Broad integration surface reduces engineering overhead",
          "zh-TW": "整合面廣，可降低工程負擔"
        }
      ],
      "caveats": [
        {
          "en": "Custom logic can hit platform limits quickly",
          "zh-TW": "遇到客製化邏輯時很快會碰到平台限制"
        },
        {
          "en": "Costs can stack once usage scales",
          "zh-TW": "規模化後費用容易疊高"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:zapier-ai-actions",
      "status": "active",
      "displayName": "Zapier AI Actions",
      "summary": {
        "en": "Fast path to business automation through prebuilt actions across SaaS tools and operational systems.",
        "zh-TW": "透過大量 SaaS 預建動作，快速把商務系統串成 AI 自動化流程。"
      },
      "setupDifficulty": "easy",
      "bestFor": [
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:zapier-ai-actions-docs",
          "label": "Zapier AI Actions docs",
          "url": "https://zapier.com/apps",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:zapier-ai-actions-official",
          "label": "Zapier AI Actions official",
          "url": "https://zapier.com/ai",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:zapier-ai-actions-verdictlens-review",
          "label": "Zapier AI Actions VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "e2b-sandbox",
      "name": "E2B Sandbox",
      "category": "Execution runtime",
      "skillType": "connector",
      "officialUrl": "https://e2b.dev/",
      "docsUrl": "https://e2b.dev/docs",
      "preferredSourceUrl": "https://e2b.dev/docs",
      "officialSourceLabel": "Website",
      "description": {
        "en": "Ephemeral execution environment for agent-generated code, notebooks, and dynamic analysis tasks.",
        "zh-TW": "提供臨時執行環境，適合 agent 產生的程式、notebook 與動態分析任務。"
      },
      "supportedProviderIds": [
        "any"
      ],
      "supportedHosts": [
        "cloud runtime",
        "agent backends",
        "notebook flows"
      ],
      "capabilities": [
        "ephemeral sandboxes",
        "code execution",
        "runtime isolation"
      ],
      "auth": {
        "type": "api-key"
      },
      "permissionProfile": {
        "level": "high",
        "notes": "Executes generated code in isolated environments."
      },
      "installDifficulty": "Moderate",
      "installMethod": "hosted",
      "deployment": "hosted",
      "utilityScore": 88,
      "compatibilityScore": 85,
      "reliabilityScore": 82,
      "docsScore": 79,
      "adoptionScore": 75,
      "safetyMaintenanceScore": 84,
      "overallScore": 82,
      "bestUseCases": [
        "coding",
        "agent-automation"
      ],
      "worksWith": [
        "generated-code flows",
        "analysis notebooks",
        "agent sandboxes"
      ],
      "tags": [
        "sandbox",
        "execution",
        "code"
      ],
      "strengths": [
        {
          "en": "Improves safety posture for generated-code execution",
          "zh-TW": "能改善執行生成程式碼時的安全姿態"
        },
        {
          "en": "Helpful for notebook and experiment workflows",
          "zh-TW": "對 notebook 與實驗流程很有幫助"
        }
      ],
      "caveats": [
        {
          "en": "Still requires policy design and runtime controls",
          "zh-TW": "仍然需要政策設計與執行環境控管"
        },
        {
          "en": "Cold-start and environment setup can affect UX",
          "zh-TW": "冷啟動與環境設定可能影響體驗"
        }
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "skill:e2b-sandbox",
      "status": "active",
      "displayName": "E2B Sandbox",
      "summary": {
        "en": "Ephemeral execution environment for agent-generated code, notebooks, and dynamic analysis tasks.",
        "zh-TW": "提供臨時執行環境，適合 agent 產生的程式、notebook 與動態分析任務。"
      },
      "setupDifficulty": "moderate",
      "bestFor": [
        "coding",
        "agent-automation"
      ],
      "sourceRefs": [
        {
          "id": "official-docs:e2b-sandbox-docs",
          "label": "E2B Sandbox docs",
          "url": "https://e2b.dev/docs",
          "kind": "official-docs",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "docsUrl"
          ]
        },
        {
          "id": "official-site:e2b-sandbox-official",
          "label": "E2B Sandbox official",
          "url": "https://e2b.dev/",
          "kind": "official-site",
          "trustTier": 5,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "officialUrl"
          ]
        },
        {
          "id": "manual-review:e2b-sandbox-verdictlens-review",
          "label": "E2B Sandbox VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "bestFor",
            "worksWith",
            "capabilities",
            "permissionProfile"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    }
  ],
  "useCases": [
    {
      "slug": "coding",
      "title": {
        "en": "Coding copilots & repo execution",
        "zh-TW": "Coding 助理與 repo 執行"
      },
      "strapline": {
        "en": "When shipping dependable code matters more than surface-level polish.",
        "zh-TW": "當重點是交付可靠可用的程式，而不是只看表面效果。"
      },
      "summary": {
        "en": "Prioritize reliability, diff quality, tool-calling control, and the ability to maintain focus across multi-file edits.",
        "zh-TW": "重點放在可靠性、diff 品質、工具呼叫控制，以及跨多檔案編修時的持續專注能力。"
      },
      "evaluationLens": [
        {
          "en": "Code-edit precision and rollback safety",
          "zh-TW": "程式修改精準度與可回退性"
        },
        {
          "en": "Tool ergonomics in real repositories",
          "zh-TW": "在真實 repo 內的工具操作體驗"
        },
        {
          "en": "Latency under iterative fix-build-test loops",
          "zh-TW": "在反覆修正/建置/測試循環中的延遲表現"
        }
      ],
      "recommendedModels": [
        "gpt-5-4-pro",
        "claude-3-7-sonnet",
        "deepseek-r1"
      ],
      "recommendedSkills": [
        "codex-cli",
        "claude-code",
        "playwright",
        "e2b-sandbox"
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "use-case:coding",
      "displayName": "Coding copilots & repo execution",
      "userIntent": {
        "en": "When shipping dependable code matters more than surface-level polish.",
        "zh-TW": "當重點是交付可靠可用的程式，而不是只看表面效果。"
      },
      "keySelectionCriteria": [
        {
          "en": "Code-edit precision and rollback safety",
          "zh-TW": "程式修改精準度與可回退性"
        },
        {
          "en": "Tool ergonomics in real repositories",
          "zh-TW": "在真實 repo 內的工具操作體驗"
        },
        {
          "en": "Latency under iterative fix-build-test loops",
          "zh-TW": "在反覆修正/建置/測試循環中的延遲表現"
        }
      ],
      "recommendedModelSlugs": [
        "gpt-5-4-pro",
        "claude-3-7-sonnet",
        "deepseek-r1"
      ],
      "recommendedSkillSlugs": [
        "codex-cli",
        "claude-code",
        "playwright",
        "e2b-sandbox"
      ],
      "sourceRefs": [
        {
          "id": "manual-review:coding-copilots-repo-execution-verdictlens-review",
          "label": "Coding copilots & repo execution VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "recommendedModels",
            "recommendedSkills",
            "evaluationLens"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "research",
      "title": {
        "en": "Research synthesis & analyst workflows",
        "zh-TW": "研究整合與分析師工作流"
      },
      "strapline": {
        "en": "For evidence gathering, market scans, and long-context synthesis.",
        "zh-TW": "適合做證據蒐集、市場掃描與長上下文整合。"
      },
      "summary": {
        "en": "Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.",
        "zh-TW": "重視來源根據、多語閱讀、長上下文推理，以及可檢視的檢索架構。"
      },
      "evaluationLens": [
        {
          "en": "Source visibility and evidence traceability",
          "zh-TW": "來源可見性與證據可追溯性"
        },
        {
          "en": "Large-document comprehension quality",
          "zh-TW": "大型文件理解品質"
        },
        {
          "en": "How well the stack supports repeatable analyst workflows",
          "zh-TW": "是否支援可重複執行的分析流程"
        }
      ],
      "recommendedModels": [
        "gemini-2-5-pro",
        "claude-3-7-sonnet",
        "perplexity-sonar-reasoning-pro"
      ],
      "recommendedSkills": [
        "serpapi",
        "weaviate",
        "openai-whisper",
        "obsidian-memory-vault"
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "use-case:research",
      "displayName": "Research synthesis & analyst workflows",
      "userIntent": {
        "en": "For evidence gathering, market scans, and long-context synthesis.",
        "zh-TW": "適合做證據蒐集、市場掃描與長上下文整合。"
      },
      "keySelectionCriteria": [
        {
          "en": "Source visibility and evidence traceability",
          "zh-TW": "來源可見性與證據可追溯性"
        },
        {
          "en": "Large-document comprehension quality",
          "zh-TW": "大型文件理解品質"
        },
        {
          "en": "How well the stack supports repeatable analyst workflows",
          "zh-TW": "是否支援可重複執行的分析流程"
        }
      ],
      "recommendedModelSlugs": [
        "gemini-2-5-pro",
        "claude-3-7-sonnet",
        "perplexity-sonar-reasoning-pro"
      ],
      "recommendedSkillSlugs": [
        "serpapi",
        "weaviate",
        "openai-whisper",
        "obsidian-memory-vault"
      ],
      "sourceRefs": [
        {
          "id": "manual-review:research-synthesis-analyst-workflows-verdictlens-review",
          "label": "Research synthesis & analyst workflows VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "recommendedModels",
            "recommendedSkills",
            "evaluationLens"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    },
    {
      "slug": "agent-automation",
      "title": {
        "en": "Agent automation & operations",
        "zh-TW": "Agent 自動化與營運流程"
      },
      "strapline": {
        "en": "For teams that need models to trigger, coordinate, and complete operational work.",
        "zh-TW": "適合需要讓模型實際觸發、協調並完成營運工作的團隊。"
      },
      "summary": {
        "en": "Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.",
        "zh-TW": "重視工具可靠性、可組合性、憑證安全，以及長流程中的狀態管理能力。"
      },
      "evaluationLens": [
        {
          "en": "Can the model survive tool-rich workflows?",
          "zh-TW": "模型能否撐住工具密集型流程？"
        },
        {
          "en": "Are the surrounding skills secure and auditable?",
          "zh-TW": "周邊技能是否安全且可稽核？"
        },
        {
          "en": "Is the workflow resilient under retries and branching?",
          "zh-TW": "面對重試與分支時，流程是否足夠韌性？"
        }
      ],
      "recommendedModels": [
        "gpt-5-mini",
        "gpt-5-4-pro",
        "gemini-2-5-flash"
      ],
      "recommendedSkills": [
        "langgraph",
        "n8n",
        "1password-cli",
        "mcp-toolbox"
      ],
      "updatedAt": "2026-04-09T04:20:00+08:00",
      "id": "use-case:agent-automation",
      "displayName": "Agent automation & operations",
      "userIntent": {
        "en": "For teams that need models to trigger, coordinate, and complete operational work.",
        "zh-TW": "適合需要讓模型實際觸發、協調並完成營運工作的團隊。"
      },
      "keySelectionCriteria": [
        {
          "en": "Can the model survive tool-rich workflows?",
          "zh-TW": "模型能否撐住工具密集型流程？"
        },
        {
          "en": "Are the surrounding skills secure and auditable?",
          "zh-TW": "周邊技能是否安全且可稽核？"
        },
        {
          "en": "Is the workflow resilient under retries and branching?",
          "zh-TW": "面對重試與分支時，流程是否足夠韌性？"
        }
      ],
      "recommendedModelSlugs": [
        "gpt-5-mini",
        "gpt-5-4-pro",
        "gemini-2-5-flash"
      ],
      "recommendedSkillSlugs": [
        "langgraph",
        "n8n",
        "1password-cli",
        "mcp-toolbox"
      ],
      "sourceRefs": [
        {
          "id": "manual-review:agent-automation-operations-verdictlens-review",
          "label": "Agent automation & operations VerdictLens review",
          "url": "https://verdictlens.local/manual-review",
          "kind": "manual-review",
          "trustTier": 3,
          "fetchedAt": "2026-04-09T04:20:00+08:00",
          "fieldPaths": [
            "recommendedModels",
            "recommendedSkills",
            "evaluationLens"
          ]
        }
      ],
      "lastVerifiedAt": "2026-04-09T04:20:00+08:00"
    }
  ]
}