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.md
source 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