openclaw-voc-skill/dist/skills/douyin-comment-replies/api-config.json

{
  "name": "douyin-comment-replies",
  "displayName": "抖音评论回复查询",
  "description": "获取抖音指定视频中某条评论的全部回复，适用于深度舆情追踪、争议点分析、用户回复习惯研究。常配合 douyin-video-comments 使用。",
  "category": "douyin",
  "version": "1.3.0",
  "endpoint": {
    "method": "GET",
    "url": "https://server.fmode.cn/api/voc-social/douyin/app/v3/fetch_video_comment_replies",
    "headers": {
      "Authorization": "Bearer r:a5a19ea9868043b15d9b10423234ca43",
      "Accept": "application/json"
    }
  },
  "parameters": {
    "type": "object",
    "required": [
      "item_id",
      "comment_id"
    ],
    "properties": {
      "item_id": {
        "type": "string",
        "description": "抖音作品 ID"
      },
      "comment_id": {
        "type": "string",
        "description": "评论 ID"
      },
      "cursor": {
        "type": "integer",
        "description": "分页游标，首次传 0",
        "default": 0
      },
      "count": {
        "type": "integer",
        "description": "每页数量，请保持默认 20",
        "default": 20
      }
    }
  },
  "requestTransform": {
    "queryParams": {
      "item_id": "{{item_id}}",
      "comment_id": "{{comment_id}}",
      "cursor": "{{cursor}}",
      "count": "{{count}}"
    }
  },
  "response": {
    "type": "object",
    "description": "评论回复列表",
    "properties": {
      "comments": {
        "type": "array",
        "description": "回复列表"
      },
      "has_more": {
        "type": "boolean",
        "description": "是否有更多回复"
      },
      "cursor": {
        "type": "integer",
        "description": "下一页游标"
      }
    }
  },
  "usageExamples": [
    {
      "name": "热评争议点深度分析",
      "input": {
        "item_id": "7354666303006723354",
        "comment_id": "7354669356632638218",
        "cursor": 0,
        "count": 20
      },
      "description": "获取高赞热评下的回复，分析用户争议点和进一步讨论的内容"
    }
  ],
  "workflow": {
    "description": "推荐调用链",
    "steps": [
      "上游: douyin-video-comments(aweme_id) → 获取评论列表 → 找到高赞热评（digg_count 最高）",
      "本步: douyin-comment-replies(item_id, comment_id) → 获取热评下的回复",
      "分析: 对回复内容做情感分类，发现用户争议点"
    ]
  },
  "reportMapping": {
    "slides": [
      "社媒聆听(Slide14)"
    ],
    "dataPoints": [
      "用户争议点内容",
      "热评下用户情感深度",
      "购买决策影响因素（对话式评论）"
    ]
  },
  "timeout": 60000,
  "retry": {
    "maxAttempts": 3,
    "delay": 1500,
    "backoffMultiplier": 2
  },
  "tokenConfig": {
    "type": "bearer",
    "configFile": "~/.openclaw/voc-credentials.json",
    "tokenField": "vocToken",
    "currentToken": "r:858b3ee92314d5447d1fc3cdc10462d7",
    "resolutionOrder": ["configFile", "currentToken"],
    "onMissing": {
      "action": "showPaymentQR",
      "qrCodeUrl": "https://pwa.fmode.cn/apig-pay.html?user={{user}}&apigid={{apigid}}&fun_id=HOkkX72PMF",
      "paymentCheckEndpoint": "https://server.fmode.cn/api/apig/getApig",
      "pollingIntervalMs": 3000,
      "pollingTimeoutMs": 300000,
      "onPaymentSuccess": "retrySkillWithNewToken",
      "title": "扫码开通 VOC-AI 数据服务",
      "message": "请扫描下方二维码完成支付，支付成功后将自动获取 Token 并继续执行。"
    },
    "onBalanceInsufficient": {
      "action": "showPaymentQR",
      "qrCodeUrl": "https://pwa.fmode.cn/apig-pay.html?user={{user}}&apigid={{apigid}}&fun_id=HOkkX72PMF",
      "paymentCheckEndpoint": "https://server.fmode.cn/api/apig/getApig",
      "pollingIntervalMs": 3000,
      "pollingTimeoutMs": 300000,
      "onPaymentSuccess": "retrySkillWithNewToken",
      "title": "VOC-AI Token 余额不足，请扫码充值",
      "message": "当前 Token 余额不足，请扫描二维码充值，支付完成后将自动继续执行。"
    }
  },
  "errorHandling": {
    "balanceInsufficient": {
      "conditions": [
        { "responseField": "code", "operator": "in", "value": [-2, -3, -10, 402, 429] },
        { "responseField": "msg", "operator": "contains", "value": ["余额不足", "insufficient", "balance", "quota"] },
        { "responseField": "message", "operator": "contains", "value": ["余额不足", "insufficient", "balance"] }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onBalanceInsufficient"
    },
    "unauthorized": {
      "conditions": [
        { "responseField": "code", "operator": "in", "value": [401, 403] },
        { "responseField": "msg", "operator": "contains", "value": ["unauthorized", "token", "invalid", "auth"] }
      ],
      "matchMode": "any",
      "trigger": "tokenConfig.onMissing"
    }
  }
}