market-sentiment
Aggregate news from popular cryptocurrency RSS feeds, analyze sentiment of articles, and calculate an overall market sentiment score with detailed explanation. Use when assessing crypto market sentiment for trading decisions, research, or monitoring trends from RSS sources.
How do I install this agent skill?
npx skills add https://github.com/kukapay/crypto-skills --skill market-sentimentIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill analyzes crypto market sentiment by fetching news from external RSS feeds. It carries a low risk of indirect prompt injection due to the processing of untrusted external content without sanitization or boundary markers.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
- Runlayerwarn
2/3 files flagged
- ZeroLeakspass
Score: 93/100 · 2 sections analyzed
What does this agent skill do?
Crypto Market Sentiment
Overview
This skill enables aggregation of news from popular cryptocurrency RSS feeds, performs sentiment analysis on the articles, and computes a market sentiment score ranging from -1 (highly negative) to +1 (highly positive), along with evidence-based explanations.
Workflow
Follow these steps to analyze crypto market sentiment:
- Select RSS Feeds: Choose popular crypto RSS feeds (see references/rss_feeds.md for a curated list).
- Fetch News: Retrieve recent articles from the selected feeds.
- Analyze Sentiment: Classify each article's sentiment as positive (+1), negative (-1), or neutral (0) based on content keywords and context.
- Calculate Score: Compute the average sentiment score across all articles.
- Generate Explanation: Provide evidence from the news items supporting the score.
Sentiment Classification Guidelines
- Positive (+1): News about adoption, launches, partnerships, ETF approvals, price rallies, regulatory wins, or technological breakthroughs.
- Negative (-1): News about hacks, crashes, regulatory crackdowns, liquidations, delays, or criticisms.
- Neutral (0): Factual updates, mixed outcomes, or speculative content without clear bias.
Output Format
The skill outputs:
- Sentiment Score: Numerical value between -1 and 1.
- Explanation: Breakdown by feed/source, key positive/negative drivers, and overall market implications.
Resources
scripts/
sentiment_analyzer.py: Python script to fetch RSS feeds, parse articles, and compute sentiment score. Run withpython sentiment_analyzer.pyto get automated results.
references/
rss_feeds.md: List of popular crypto RSS feeds with URLs and descriptions.sentiment_examples.md: Examples of sentiment classification for common news types.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/kukapay/crypto-skills/market-sentiment">View market-sentiment on skillZs</a>