news-sentiment-engine
Lets your agent analyze news from multiple sources. It extracts sentiment and summarizes important information for you.
What it does
This program gathers news about technology and artificial intelligence from various internet sources. It organizes the news, identifies the sentiment (positive, negative, or neutral), and ranks them by importance, presenting a structured summary.
When to use it
- ✓When preparing a quick briefing of AI or technology news.
- ✓When you need article summaries with defined sentiment and importance.
- ✓To keep up with industry changes, like product launches or policy shifts.
Example of what to ask your AI
“Collect the top 5 most important AI and technology news from the last 24 hours. For each, give me a summary, sentiment, impact score, and relevant tags.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It searches for news on specific websites (RSS feeds), removes duplicates, and uses artificial intelligence to analyze the sentiment and importance of each article. Then, it presents everything in an organized way.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill news-sentiment-engineOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/news-sentiment-engine/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
News Sentiment Engine
Collect and analyze AI/tech news from multiple sources with Claude-powered sentiment analysis. Open source lite version.
When to Use
- Use when preparing a concise AI or technology news briefing from multiple RSS sources.
- Use when you need ranked article summaries with sentiment, tags, and impact scoring.
- Use when monitoring industry changes across product launches, policy moves, and infrastructure shifts.
- Use when deduplicating overlapping coverage before writing a daily or weekly briefing.
What it does
- Collects news from 4+ RSS feeds (TechCrunch, The Verge, Ars Technica, Hacker News)
- Deduplicates articles across sources
- Ranks by importance (industry impact, technology trends, policy changes)
- Generates structured briefing with sentiment tags
- Outputs formatted briefing card
Usage
Collect latest AI/tech news from RSS feeds.
Rank top 5 by importance to the tech industry.
For each: summary (2-3 sentences), sentiment (positive/negative/neutral),
impact score (1-5), industry tags, one-sentence commentary.
Output as a structured briefing card.
Example Output
Illustrative briefing format — not a news claim
1. [Verified article title]
Source: [publisher and direct URL] | Published: [date] | Event: [date]
Tags: [relevant topics]
Sentiment: [interpretation with uncertainty]
Summary: [source-supported facts]
Commentary: [clearly labeled inference and evidence]
Output Format
For each article:
- Title + source + publish date
- Summary (2-3 sentences)
- Industry tags: [AI, Semiconductor, Cloud, etc.]
- Sentiment: Positive/Negative/Neutral
- Impact score: 1-5
- Commentary: 1-sentence industry perspective
Setup
The optional setup below clones and runs a third-party Node project from
tellmefrankie/news-engine. Review and pin that repository yourself before
running it, and do not expose API keys to an unreviewed checkout.
git clone https://github.com/tellmefrankie/news-engine
cd news-engine
pnpm install --ignore-scripts
# Configure a private gitignored credential file only if absent; preserve existing values.
# Requires: ANTHROPIC_API_KEY
pnpm dev -- --collect-only
Provider analysis can incur charges; verify current service pricing and quotas. This AAS guide does not bundle the external collector or engine.
Limitations
- RSS feeds can lag, disappear, throttle, or duplicate syndicated coverage.
- Sentiment and impact scores are briefing aids, not authoritative market or policy analysis.
- The example setup runs third-party code; review the repository and environment variables before use.
- Outputs should be cross-checked against original article sources before publication or investment use.
Source and interpretation
Commercial offers and operational volume claims in upstream marketing are not independently verified here. Compare publish and event dates, deduplicate at event level and corroborate material claims with primary sources. Sentiment and importance depend on the chosen audience/rubric; they are not investment-grade predictions. Scheduling or message delivery requires the user's corresponding authorization.
FAQ
What are RSS feeds?
They are like news channels that websites offer so programs can read updates automatically.
What is sentiment analysis?
It's a program's ability to understand if a news item expresses a positive, negative, or neutral opinion about a topic.
Can I trust the information 100%?
No. The information is a helpful aid, and it's always good to check the original sources before making important decisions.
Details
Original description by the author
Multi-source RSS news aggregation with Claude-powered sentiment analysis and structured briefing output
Popularity
- GitHub stars
- 48k
- Ranking position
- #4672
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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