Skills sentiment-analyzer
Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extraction.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/1477009639zw-blip/betasentiment" ~/.claude/skills/clawdbot-skills-sentiment-analyzer && rm -rf "$T"
manifest:
skills/1477009639zw-blip/betasentiment/SKILL.mdsource content
Sentiment Analyzer
AI-powered sentiment analysis for financial text, social media, and news.
Usage
python3 analyze.py --text "Bitcoin to the moon! Best investment ever!" python3 analyze.py --file headlines.csv
Output Example
🔍 SENTIMENT ANALYSIS ━━━━━━━━━━━━━━━━━━━━━ Text: "Bitcoin to the moon!" Score: 0.82 / 1.0 Verdict: BULLISH 🐂 Confidence: 91% Key phrases: - "to the moon" → extremely bullish signal - "best investment" → high conviction positive