xhs-sentiment-dashboard

xhs-sentiment-dashboard Xiaohongshu Short Video Operations Growth Assistant

Overview

The Xiaohongshu Short Video Operations Growth Assistant is used to answer "how to operate Xiaohongshu short videos," analyze note comments, view user sentiment and feedback priorities, and view consumption tendencies and personas. It is suitable for content creators, operators, brands, and e-commerce businesses to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as video/note links and pasted Xiaohongshu share links to organize key context and output sentiment and public opinion views, user personas and intent analysis, and optimization and conversion suggestions, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

The user provided a Xiaohongshu note link
The user wants to understand comment sentiment, user personas, and next operational actions

How to Call

After running the script, three steps are completed automatically: parse the share link, create an analysis task, and poll until the task is complete.

Command Example

Analyze Xiaohongshu content comments

python3 scripts/run.py --params '{"link":"https://www.xiaohongshu.com/explore/66f12345000000001c023abc"}'

Parameter Description

Parameter	Type	Required	Default	Description
`videoUrl`	string	Yes	-	Paste the Xiaohongshu share link

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require additional table lookup.

Supported Input Formats

Paste a Xiaohongshu share link or note ID; all of the following formats can be tried directly:

https://www.xiaohongshu.com/explore/6789abcd1234567890abcdef
https://xhslink.com/xxxxxx
6789abcd1234567890abcdef

Example Request

The example parameters below can be passed directly to scripts/run.py ; the script will automatically complete parsing the link, creating the task, and polling for the result.

python3 scripts/run.py --params '{"link":"https://www.xiaohongshu.com/explore/66f12345000000001c023abc"}'

Equivalent --params JSON：

{
  "link": "https://www.xiaohongshu.com/explore/66f12345000000001c023abc"
}

Example Return Result

{
  "success": true,
  "data": {
    "task": {
      "id": "task_demo_123",
      "platform": "xhs",
      "contentId": "7505866362912425270",
      "contentTitle": "小红书运营拆解示例",
      "status": "completed",
      "progress": 100,
      "progressMessage": "分析完成",
      "result": {
        "summary": {
          "analyzedComments": 168,
          "timeRange": {
            "start": "2026-04-23T00:00:00.000Z",
            "end": "2026-04-24T00:00:00.000Z"
          },
          "platform": "xhs",
          "contentId": "7505866362912425270",
          "contentTitle": "小红书运营拆解示例",
          "analyzedAt": "2026-04-24T11:35:00.000Z"
        },
        "aiInsights": {
          "summary": "评论区更关注清单、价格、避坑点，说明种草内容更适合做模板化和合集化输出。",
          "sentiment": {
            "trend": "mixed",
            "label": "正向为主",
            "riskLevel": "low"
          },
          "operationAdvice": [
            {
              "category": "content",
              "priority": "P1",
              "title": "补充清单版",
              "detail": "把正文里的推荐项整理成清单模板，方便用户收藏和二次传播。",
              "reason": "高赞评论集中在“求清单”“求链接”，典型是种草型内容诉求。"
            }
          ]
        },
        "labeledComments": [
          {
            "id": "comment_1",
            "content": "求一个可直接照着买的清单，收藏了。",
            "sentiment": "positive",
            "likes": 26
          }
        ]
      }
    }
  }
}

Deliverables

Overall comment section conclusion: helps quickly determine content reputation, discussion focus, and potential public opinion risks.
User feedback breakdown: extracts high-frequency demands, typical comments, sentiment tendencies, and user persona clues.
Operational action suggestions: provides follow-up content optimization, comment replies, series topic selection, or conversion handoff directions.

Result Usage Suggestions

First look at the overall sentiment and one-sentence summary to determine whether content feedback is positive, controversial, wait-and-see, or risky.
Then look at high-frequency comments and user personas to identify the issues users truly care about, purchase/interaction intent, and content gaps.
Finally, turn operational suggestions into the next content topic selection, comment reply strategy, or private domain handoff action.

Preparation Before Running

AISKILLS_BASE_URL: default https://ai-skills.ai
AISKILLS_API_KEY: required, used for authenticated calls
AISKILLS_TENANT_ID: default default