| name | hot-monitor |
| description | AI hotspot monitoring and trending topic discovery across multiple sources (Bing, Google, DuckDuckGo, HackerNews, Sogou, Bilibili, Weibo, Twitter). Use when users ask about: trending news, hot topics, latest developments in a field, monitoring keywords, tech/AI news discovery, generating hotspot reports, "最近有什么热点", "帮我关注XX动态", "查一下XX最新消息", "生成热点报告", "monitor XX", "what's trending in XX", or any request to search/track/discover current events and trending content across Chinese and international platforms.
|
| triggers | ["hot-monitor","热点监控","热点","趋势监控","追踪热点"] |
Hot Monitor — AI 热点监控技能
Search and analyze trending topics across 8+ sources without any server or database. Scripts handle data collection; use your own AI capabilities for analysis.
Quick Start
All scripts are in scripts/. Install dependencies first:
pip install requests beautifulsoup4
Set optional env vars for Twitter (other sources need no keys):
export TWITTER_API_KEY=your_key
Core Workflow
1. Understand User Intent
Determine what the user needs:
- Broad discovery: "最近AI有什么热点" → search multiple sources with broad keywords
- Specific tracking: "帮我关注GPT-5动态" → targeted search with specific keyword
- Report generation: "生成今日热点报告" → full pipeline + formatted output
2. Execute Search
Run search scripts based on scope. Always combine international + Chinese sources for comprehensive coverage.
International sources (no API keys needed):
python scripts/search_web.py "AI programming" --sources bing,hackernews,duckduckgo
Chinese sources (no API keys needed):
python scripts/search_china.py "AI编程" --sources sogou,bilibili,weibo
Twitter (requires TWITTER_API_KEY):
python scripts/search_twitter.py "AI programming"
All scripts output JSON to stdout. Combine results for multi-source analysis.
3. Analyze Results
After collecting search results, apply the analysis framework yourself (no external AI API needed). For each result, evaluate:
- Authenticity (
isReal): Is this genuine news or clickbait/rumor?
- Relevance (0-100): How related is this to the user's interest area?
- Importance (low/medium/high/urgent): How significant is this development?
- Summary: One-sentence Chinese summary of the core information
See references/analysis-guide.md for detailed evaluation criteria.
4. Present Results
Format output as structured report, sorted by importance. Use this template:
## 🔥 热点监控报告 — {keyword}
> 扫描时间: {timestamp} | 数据源: {sources_used}
### 🚨 紧急 (Urgent)
- **{title}** — {summary}
来源: {source} | 相关性: {relevance}% | [原文链接]({url})
### 🔴 重要 (High)
...
### 🟡 一般 (Medium)
...
### 🟢 低优先级 (Low)
...
---
共发现 {total} 条热点，其中紧急 {urgent} 条，重要 {high} 条
Script Reference
| Script | Sources | API Key | Output |
|---|
search_web.py | Bing, Google, DuckDuckGo, HackerNews | None | JSON array of {title, content, url, source, publishedAt?} |
search_china.py | Sogou, Bilibili, Weibo | None | JSON array (same schema + engagement metrics) |
search_twitter.py | Twitter/X | TWITTER_API_KEY | JSON array (same schema + author info) |
generate_report.py | — | None | Reads JSON from stdin, outputs Markdown report |
Common Options
All search scripts support:
--sources: Comma-separated list of sources to use (default: all)--limit: Max results per source (default: 20)--json: Output raw JSON (default, always JSON to stdout)
Error Handling
Scripts output [] (empty JSON array) on failure and print errors to stderr. Always check for empty results and inform the user which sources failed.
Advanced Patterns
Keyword Expansion
For better coverage, expand the user's keyword into variants before searching:
- English/Chinese translations (e.g., "人工智能" ↔ "AI" ↔ "Artificial Intelligence")
- Abbreviations (e.g., "GPT-5" → also search "GPT5", "OpenAI GPT")
- Related terms (e.g., "Claude" → also search "Anthropic", "Claude 4")
Bilibili Account Detection
search_china.py supports --detect-account flag. If the keyword matches a Bilibili creator's name, it fetches their latest videos instead of doing a generic search:
python scripts/search_china.py "程序员鱼皮" --detect-account
Multi-keyword Batch
For monitoring multiple keywords, run searches sequentially with a 3-second delay between keywords to respect rate limits.
Reference Files
