Skills kuaishou-sentiment-dashboard

Name: kuaishou-sentiment-dashboard
Author: openclaw

快手视频评论情感分析。分析快手评论区是正评多还是负评多，观众对视频的态度是喜欢还是讨厌，整体口碑和舆情如何。提供情感倾向、正负面比例、情绪关键词和受众洞察。

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/allinherog-star/kuaishou-sentiment-dashboard" ~/.claude/skills/openclaw-skills-kuaishou-sentiment-dashboard && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/allinherog-star/kuaishou-sentiment-dashboard" ~/.openclaw/skills/openclaw-skills-kuaishou-sentiment-dashboard && rm -rf "$T"

manifest: skills/allinherog-star/kuaishou-sentiment-dashboard/SKILL.md

kuaishou-sentiment-dashboard

概述

对快手短视频评论区进行 AI 情感分析，生成舆情洞察报告。

工作流（三步）

Step 1 — 解析链接（公开，无需认证）

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

Step 2 — 创建分析任务

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

Step 3 — 轮询任务状态

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

#!/bin/bash
LINK="https://v.kuaishou.com/xxxxx"

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: $AISKILLS_API_KEY" \
  -H "X-Tenant-Id: default" \
  -d "{\"platform\":\"kuaishou\",\"contentId\":\"$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

{
  "platform": "kuaishou",
  "contentId": "3xqh7w8f9v2",
  "videoTitle": "视频标题",
  "analyzeTime": "2026-03-28T12:00:00Z",
  "sentiment": {
    "positive": { "count": 120, "percentage": 60 },
    "neutral": { "count": 50, "percentage": 25 },
    "negative": { "count": 30, "percentage": 15 }
  },
  "keywords": ["接地气", "真实", "支持"],
  "topEmotions": [
    { "emotion": "认可", "count": 70 },
    { "emotion": "喜爱", "count": 50 }
  ],
  "insights": "评论区整体情感偏正面，用户对内容真实感认可度高..."
}

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 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；正面用绿色标识，负面用红色标识
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