AI News Daily Report

Daily report generation with timeliness verification for news and content freshness checking.

Daily Report Skill

Daily report generation with timeliness verification for news and content freshness checking.

Features

• Timeliness Verification: Verify news and content freshness
• Date Standardization: Use explicit dates, not relative time
• Quality Scoring: Freshness, accuracy, relevance scoring
• Multi-source Validation: Cross-reference multiple sources
• Report Templates: Structured report formats

Usage

This skill provides daily report generation with built-in timeliness verification. Perfect for:

• AI科技晨报/晚报
• 高校AIGC日报
• 科技日报
• 任何需要时效性验证的日报内容

Timeliness Rules

1. Date Standardization

markdown

## Standard Format
- Use explicit dates: "2026-05-30" not "1 hour ago"
- Categorize by freshness:
  - 📅 Today's News (发布日期 = 当天)
  - 📅 Yesterday's News (发布日期 = 前一天)
  - 📅 Recent News (发布日期在3天内)

2. Verification Process

python

def verify_timeliness(news_item):
    """
    Verify news timeliness
    """
    # 1. Check publication date
    pub_date = news_item.get('publication_date')
    
    # 2. Cross-reference multiple sources
    sources = news_item.get('sources', [])
    if len(sources) < 2:
        return "Insufficient sources"
    
    # 3. Check for relative time expressions
    content = news_item.get('content', '')
    if any(phrase in content for phrase in ['1小时前', '2小时前', '刚刚']):
        return "Contains relative time expressions"
    
    # 4. Verify date accuracy
    today = datetime.now().strftime('%Y-%m-%d')
    if pub_date == today:
        return "Today's news"
    elif pub_date == (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d'):
        return "Yesterday's news"
    else:
        return f"News from {pub_date}"

3. Quality Metrics

• Freshness Score: How recent is the news? (0-10)
• Accuracy Score: Multiple sources confirmed? (0-10)
• Relevance Score: Is it relevant to the audience? (0-10)
• Overall Score: Average of above scores

Report Structure

1. Header

markdown

# 🌙 AI科技晚报 (2026-05-30)

**时效性验证**: ✅ 所有新闻均为当日或昨日发布
**质量评分**: 8.5/10 (新鲜度: 9, 准确性: 8, 相关性: 8)

2. News Sections

markdown

## 📅 今日新闻（5月30日）
1. **苹果AI图像压缩技术** 
   - 发布时间: 2026-05-30 10:30
   - 来源: 新浪财经、虎嗅网、36氪
   - 链接: https://finance.sina.com.cn/roll/2026-05-30/doc-inhzrvnr8889579.shtml

## 📅 昨日新闻（5月29日）
2. **Claude Opus 4.8发布**
   - 发布时间: 2026-05-29 09:00
   - 来源: Anthropic官方、腾讯新闻、知乎
   - 链接: https://www.anthropic.com/news/claude-opus-4-8

## 📅 近期重要新闻（5月26-28日）
3. **DeepSeek V4多模态模型预告**
   - 发布时间: 2026-05-26 15:00
   - 来源: 腾讯新闻
   - 链接: https://news.qq.com/rain/a/20260526A05JEB00

3. Verification Summary

markdown

## 🔍 时效性验证报告
- ✅ 今日新闻: 1条
- ✅ 昨日新闻: 1条  
- ✅ 近期新闻: 1条
- ❌ 过期新闻: 0条
- ⚠️ 需验证: 0条

**验证方法**: 
1. 检查新闻发布日期
2. 交叉验证多个来源
3. 避免相对时间表述
4. 使用可靠新闻源

Best Practices

1. Always verify publication dates - Check multiple sources
2. Use explicit dates - Avoid "1 hour ago" etc.
3. Cross-reference sources - Minimum 2 reliable sources
4. Categorize by freshness - Today, Yesterday, Recent
5. Include verification report - Show timeliness verification results
6. Use reliable sources - Official announcements, reputable media

News Sources

Reliable Sources

• 官方发布: 公司官网、官方博客
• 权威媒体: 新浪财经、腾讯新闻、知乎专栏
• 科技媒体: 36氪、虎嗅网、机器之心
• 国际媒体: Anthropic官方、OpenAI官方

Verification Checklist

• 发布日期是否明确？
• 是否有多个来源确认？
• 是否包含相对时间表述？
• 来源是否可靠？
• 内容是否过时？

Integration

Cron Job Example

json

{
  "name": "AI科技晚报",
  "schedule": {"kind": "cron", "expr": "0 20 * * *", "tz": "Asia/Shanghai"},
  "payload": {
    "kind": "agentTurn",
    "message": "生成今日AI科技晚报，要求：1. 所有新闻必须有明确发布日期 2. 避免相对时间表述 3. 交叉验证多个来源 4. 包含时效性验证报告"
  }
}

License

MIT License - Feel free to modify and distribute.