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ISAQQSAI
ISAQQSAICOMMUNITY
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topic-monitor

Aggregates web, RSS/feed, and GitHub release data to score and alert on important topics.

Updated Mar 11, 2026
Search Tags:#research#monitoring#alerts#web-search#sentiment#rss-feeds#topic-monitor
One-click install
npx skills add https://github.com/ISAQQSAI/SkillAttack --skill topic-monitor-isaqqsai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: topic-monitor
Source: https://github.com/ISAQQSAI/SkillAttack/tree/main/data/hot100skills/053_robbyczgw-cla_topic-monitor
Command: npx skills add https://github.com/ISAQQSAI/SkillAttack --skill topic-monitor-isaqqsai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires feedparser, and includes scripts (resource) components.

What problem does it solve?

Topic Monitor automates continuous topic surveillance, reducing the risk of missing important developments across dynamic sources.

Core Features & Use Cases

  • Aggregate results from web searches, RSS/Atom feeds, and GitHub releases.
  • Score findings for importance, track sentiment, and generate alerts or digests.
  • Memory-enabled context helps maintain continuity across conversations and sessions.
  • Use Case: Monitor product updates, research topics, security advisories, and competitive developments.

Quick Start

Run the quickstart script to initialize a minimal topic-monitor setup and perform a smoke test.

Frequently Asked Questions about topic-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I monitor RSS feeds and GitHub releases for specific research topics?▼

Topic monitoring aggregates RSS feeds, GitHub releases, and web-search results, then scores findings by importance to generate alerts. This automated surveillance prevents you from missing critical updates across dynamic sources.

Can I send automated topic alerts to Telegram or Discord?▼

Yes, topic monitoring supports multi-channel alert delivery including Telegram, Discord, and Email. You can configure these channels using environment variables to receive scored findings and digests automatically.

Do I need Python to set up automated web search monitoring and alerts?▼

Yes, automated topic monitoring requires Python 3.8+ to run its scripts. You can initialize a minimal setup by running the quickstart script to perform a smoke test and verify your environment configuration.

How does sentiment analysis work for tracked research topics?▼

Sentiment analysis processes aggregated web-search results and RSS feeds to score the importance and tone of findings. Memory-backed context maintains continuity across sessions, improving the accuracy of alerts over time.

What is the best way to continuously track security advisories and product updates?▼

Continuously tracking security advisories and product updates is best done by scheduling checks across RSS feeds and web searches. The system scores findings, tracks sentiment, and delivers digests via your preferred channel.

Does feedparser work well for aggregating RSS feeds into a topic monitor?▼

Feedparser is used as a dependency to parse RSS and Atom feeds within the topic monitoring workflow. It extracts content which the system then scores for importance and includes in scheduled alerts or digests.

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