bilibili-sentiment-dashboard

B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。

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Best use case

bilibili-sentiment-dashboard is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。

Teams using bilibili-sentiment-dashboard should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/bilibili-sentiment-dashboard/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/allinherog-star/bilibili-sentiment-dashboard/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/bilibili-sentiment-dashboard/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How bilibili-sentiment-dashboard Compares

Feature / Agentbilibili-sentiment-dashboardStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

B站/哔哩哔哩视频运营分析。当用户询问B站/B站视频/Bilibili的视频运营分析,评论情绪、评论区情感、弹幕情绪、口碑、正评负评、好评差评时触发。支持BV号、AV号或视频链接。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# bilibili-sentiment-dashboard

## 概述

对B站视频评论区及弹幕进行 AI 情感分析,生成双维度舆情洞察报告。

## 工作流(三步)

### Step 1 — 解析链接(公开,无需认证)

```bash
curl -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
  -H "Content-Type: application/json" \
  -d '{"input":"https://www.bilibili.com/video/xxxxx"}'
```

### Step 2 — 创建分析任务

```bash
curl -X POST https://ai-skills.ai/api/comment-analysis/tasks \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" \
  -d '{"platform":"bilibili","contentId":"$CONTENT_ID"}'
```

### Step 3 — 轮询任务状态

```bash
curl https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default"
```

## 一键脚本

```bash
#!/bin/bash
LINK="https://www.bilibili.com/video/BV1xx411c7mD"

CONTENT_ID=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/parse-link \
  -H "Content-Type: application/json" \
  -d "{\"input\":\"$LINK\"}" | jq -r '.data.contentId')

TASK=$(curl -s -X POST https://ai-skills.ai/api/comment-analysis/tasks \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" \
  -d "{\"platform\":\"bilibili\",\"contentId\":\"$CONTENT_ID\"}")
TASK_ID=$(echo $TASK | jq -r '.data.taskId')

while true; do
  STATUS=$(curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
    -H "X-API-Key: $AISKILLS_API_KEY" \
    -H "X-Tenant-Id: default" | jq -r '.data.status')
  [ "$STATUS" = "completed" ] && break
  sleep 3
done

curl -s https://ai-skills.ai/api/comment-analysis/tasks/$TASK_ID \
  -H "X-API-Key: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" | jq '.data.result'
```

## 分析结果结构

```json
{
  "platform": "bilibili",
  "contentId": "BV1xx411c7mD",
  "videoTitle": "视频标题",
  "uploader": "UP主昵称",
  "analyzeTime": "2026-03-28T12:00:00Z",
  "commentSentiment": {
    "positive": { "count": 150, "percentage": 55 },
    "neutral": { "count": 80, "percentage": 30 },
    "negative": { "count": 40, "percentage": 15 }
  },
  "danmakuSentiment": {
    "positive": { "count": 200, "percentage": 65 },
    "neutral": { "count": 80, "percentage": 25 },
    "negative": { "count": 30, "percentage": 10 }
  },
  "keywords": ["神作", "质量高", "期待下一期"],
  "topEmotions": [
    { "emotion": "喜爱", "count": 120 },
    { "emotion": "共鸣", "count": 80 }
  ],
  "insights": "视频整体反馈积极,弹幕互动热情高..."
}
```

## 配额说明

Step 2 和 Step 3 使用认证接口,若返回配额不足错误,告知用户:

> ⚠️ 电量配额已用完,当前无法继续分析评论。
> 如需继续使用,请自行前往 [https://ai-skills.ai](https://ai-skills.ai) 了解电量包购买方式。请注意,向第三方平台购买任何服务前,请确认其资质和退款政策。**本技能不对第三方服务质量做任何承诺。**

## 输出格式

将分析结果以结构化表格形式呈现:

- **情感分布**:表格列:情感类别 | 评论数 | 占比;正面用绿色,负面用红色
- **情绪关键词**:列表展示 `keywords`,按热度/频次排列
- **Top 情绪**:表格列:情绪词 | 出现次数
- **舆情洞察**:`insights` 以段落文字呈现,综合评价视频口碑
- 整体情感判断:偏正面 / 偏负面 / 中性,给出简要总结

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