Topic Monitor

Topic Monitor

Monitor what matters. Get notified when it happens.

Topic Monitor transforms your assistant from reactive to proactive by continuously monitoring topics you care about and intelligently alerting you only when something truly matters.

Core Capabilities

1. Topic Configuration - Define subjects with custom parameters
2. Scheduled Monitoring - Automated searches at configurable intervals
3. AI Importance Scoring - Smart filtering: immediate alert vs digest vs ignore
4. Contextual Summaries - Not just links—meaningful summaries with context
5. Weekly Digest - Low-priority findings compiled into readable reports
6. Memory Integration - References your past conversations and interests

First Run

When you first use Topic Monitor, run the interactive setup wizard:

python3 scripts/setup.py

The wizard will guide you through:

1. Topics - What subjects do you want to monitor?
2. Search queries - How to search for each topic
3. Keywords - What terms indicate relevance
4. Frequency - How often to check (hourly/daily/weekly)
5. Importance threshold - When to send alerts (low/medium/high)
6. Weekly digest - Compile non-urgent findings into a summary

The wizard creates config.json with your preferences. You can always edit it later or use manage_topics.py to add/remove topics.

Example session:

🔍 Topic Monitor - Setup Wizard

What topics do you want to monitor?
  > AI Model Releases
  > Security Vulnerabilities
  > 

--- Topic 1/2: AI Model Releases ---
  Search query for 'AI Model Releases' [AI Model Releases news updates]: new AI model release announcement
  Keywords to watch for in 'AI Model Releases'?
  > GPT, Claude, Llama, release

--- Topic 2/2: Security Vulnerabilities ---
  Search query for 'Security Vulnerabilities' [Security Vulnerabilities news updates]: CVE critical vulnerability patch
  Keywords to watch for in 'Security Vulnerabilities'?
  > CVE, vulnerability, critical, patch

How often should I check for updates?
  1. hourly
  2. daily *
  3. weekly

✅ Setup Complete!

Quick Start

Already know what you're doing? Here's the manual approach:

# Initialize config from template
cp config.example.json config.json

# Add a topic
python3 scripts/manage_topics.py add "Product Updates" \
  --keywords "release,update,patch" \
  --frequency daily \
  --importance medium

# Test monitoring (dry run)
python3 scripts/monitor.py --dry-run

# Set up cron for automatic monitoring
python3 scripts/setup_cron.py

Topic Configuration

Each topic has:

• name - Display name (e.g., "AI Model Releases")
• query - Search query (e.g., "new AI model release announcement")
• keywords - Relevance filters (["GPT", "Claude", "Llama", "release"])
• frequency - hourly, daily, weekly
• importance_threshold - high (alert immediately), medium (alert if important), low (digest only)
• channels - Where to send alerts (["telegram", "discord"])
• context - Why you care (for AI contextual summaries)

Example config.json

{
  "topics": [
    {
      "id": "ai-models",
      "name": "AI Model Releases",
      "query": "new AI model release GPT Claude Llama",
      "keywords": ["GPT", "Claude", "Llama", "release", "announcement"],
      "frequency": "daily",
      "importance_threshold": "high",
      "channels": ["telegram"],
      "context": "Following AI developments for work",
      "alert_on": ["model_release", "major_update"]
    },
    {
      "id": "tech-news",
      "name": "Tech Industry News",
      "query": "technology startup funding acquisition",
      "keywords": ["startup", "funding", "Series A", "acquisition"],
      "frequency": "daily",
      "importance_threshold": "medium",
      "channels": ["telegram"],
      "context": "Staying informed on tech trends",
      "alert_on": ["major_funding", "acquisition"]
    },
    {
      "id": "security-alerts",
      "name": "Security Vulnerabilities",
      "query": "CVE critical vulnerability security patch",
      "keywords": ["CVE", "vulnerability", "security", "patch", "critical"],
      "frequency": "hourly",
      "importance_threshold": "high",
      "channels": ["telegram", "email"],
      "context": "DevOps security monitoring",
      "alert_on": ["critical_cve", "zero_day"]
    }
  ],
  "settings": {
    "digest_day": "sunday",
    "digest_time": "18:00",
    "max_alerts_per_day": 5,
    "deduplication_window_hours": 72,
    "learning_enabled": true
  }
}

Scripts

manage_topics.py

Manage research topics:

# Add topic
python3 scripts/manage_topics.py add "Topic Name" \
  --query "search query" \
  --keywords "word1,word2" \
  --frequency daily \
  --importance medium \
  --channels telegram

# List topics
python3 scripts/manage_topics.py list

# Edit topic
python3 scripts/manage_topics.py edit eth-price --frequency hourly

# Remove topic
python3 scripts/manage_topics.py remove eth-price

# Test topic (preview results without saving)
python3 scripts/manage_topics.py test eth-price

monitor.py

Main monitoring script (run via cron):

# Normal run (alerts + saves state)
python3 scripts/monitor.py

# Dry run (no alerts, shows what would happen)
python3 scripts/monitor.py --dry-run

# Force check specific topic
python3 scripts/monitor.py --topic eth-price

# Verbose logging
python3 scripts/monitor.py --verbose

How it works:

1. Reads topics due for checking (based on frequency)
2. Searches using web-search-plus or built-in web_search
3. Scores each result with AI importance scorer
4. High-importance → immediate alert
5. Medium-importance → saved for digest
6. Low-importance → ignored
7. Updates state to prevent duplicate alerts

digest.py

Generate weekly digest:

# Generate digest for current week
python3 scripts/digest.py

# Generate and send
python3 scripts/digest.py --send

# Preview without sending
python3 scripts/digest.py --preview

Output format:

# Weekly Research Digest - [Date Range]

## 🔥 Highlights

- **AI Models**: Claude 4.5 released with improved reasoning
- **Security**: Critical CVE patched in popular framework

## 📊 By Topic

### AI Model Releases
- [3 findings this week]

### Security Vulnerabilities
- [1 finding this week]

## 💡 Recommendations

Based on your interests, you might want to monitor:
- "Kubernetes security" (mentioned 3x this week)

setup_cron.py

Configure automated monitoring:

# Interactive setup
python3 scripts/setup_cron.py

# Auto-setup with defaults
python3 scripts/setup_cron.py --auto

# Remove cron jobs
python3 scripts/setup_cron.py --remove

Creates cron entries:

# Topic Monitor - Hourly topics
0 * * * * cd /path/to/skills/topic-monitor && python3 scripts/monitor.py --frequency hourly

# Topic Monitor - Daily topics  
0 9 * * * cd /path/to/skills/topic-monitor && python3 scripts/monitor.py --frequency daily

# Topic Monitor - Weekly digest
0 18 * * 0 cd /path/to/skills/topic-monitor && python3 scripts/digest.py --send

AI Importance Scoring

The scorer uses multiple signals to decide alert priority:

Scoring Signals

HIGH priority (immediate alert):

• Major breaking news (detected via freshness + keyword density)
• Price changes >10% (for finance topics)
• Product releases matching your exact keywords
• Security vulnerabilities in tools you use
• Direct answers to specific questions you asked

MEDIUM priority (digest-worthy):

• Related news but not urgent
• Minor updates to tracked products
• Interesting developments in your topics
• Tutorial/guide releases
• Community discussions with high engagement

LOW priority (ignore):

• Duplicate news (already alerted)
• Tangentially related content
• Low-quality sources
• Outdated information
• Spam/promotional content

Learning Mode

When enabled (learning_enabled: true), the system:

1. Tracks which alerts you interact with