2.4k★by zbruceli
social-signals – OpenClaw Skill
social-signals is an OpenClaw Skills integration for coding workflows. Analyze crypto social signals - KOL mentions, sentiment, trending tokens, and news
Skill Snapshot
| name | social-signals |
| description | Analyze crypto social signals - KOL mentions, sentiment, trending tokens, and news OpenClaw Skills integration. |
| owner | zbruceli |
| repository | zbruceli/unifai-trading-suitepath: skills/social-signals |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @zbruceli/unifai-trading-suite:skills/social-signals |
| last updated | Feb 7, 2026 |
Maintainer
name: social-signals description: Analyze crypto social signals - KOL mentions, sentiment, trending tokens, and news homepage: https://github.com/your-repo/trading user-invocable: true metadata: {"moltbot":{"emoji":"📡","requires":{"env":["UNIFAI_AGENT_API_KEY","GOOGLE_API_KEY"]},"primaryEnv":"UNIFAI_AGENT_API_KEY"}}
Social Signals
Analyze cryptocurrency social signals from Twitter/X, news sources, and KOL (Key Opinion Leader) discussions.
Data Sources
- Elfa: Trending tokens from web3 KOLs on X/Twitter
- TokenAnalysis: Comprehensive token analysis with social metrics
- SerpAPI: Google News search for crypto topics
- Twitter: Direct tweet search and user timelines
Commands
Get Trending Tokens
python3 {baseDir}/scripts/signals.py trending
Get tokens currently trending among crypto KOLs.
Token Sentiment
python3 {baseDir}/scripts/signals.py sentiment "<token>"
Get social sentiment analysis for a specific token (e.g., BTC, ETH, SOL).
Search News
python3 {baseDir}/scripts/signals.py news "<query>"
Search recent crypto news for a topic.
Event Summary
python3 {baseDir}/scripts/signals.py events "<keyword>"
Get event summary from social mentions for a keyword.
Full Analysis
python3 {baseDir}/scripts/signals.py analyze "<token>"
Comprehensive analysis combining price, social, and news signals.
Output Format
Results include:
- Token symbol and current metrics
- Sentiment score (-1 to 1) and label (bullish/bearish/neutral)
- Mention counts and social volume
- Key discussion topics
- Recent news headlines
Requirements
UNIFAI_AGENT_API_KEY- UnifAI SDK key for social signal toolsGOOGLE_API_KEY- Gemini API key for analysis
Example Usage
User: "What's the social sentiment on Solana?"
Assistant: I'll analyze the social signals for SOL.
python3 {baseDir}/scripts/signals.py sentiment "SOL"
User: "What tokens are KOLs talking about?"
Assistant: Let me check what's trending among crypto KOLs.
python3 {baseDir}/scripts/signals.py trending
Signal Types
| Signal | Source | Description |
|---|---|---|
| Sentiment | TokenAnalysis | Overall social sentiment score |
| Trending | Elfa | KOL-driven trending tokens |
| News | SerpAPI | Recent news articles |
| Mentions | Tweet volume and engagement |
Notes
- Social signals are lagging indicators - use with caution
- KOL sentiment can shift rapidly
- News sentiment may not reflect market direction
- Best used in combination with market data
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- `UNIFAI_AGENT_API_KEY` - UnifAI SDK key for social signal tools - `GOOGLE_API_KEY` - Gemini API key for analysis
FAQ
How do I install social-signals?
Run openclaw add @zbruceli/unifai-trading-suite:skills/social-signals in your terminal. This installs social-signals into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/zbruceli/unifai-trading-suite. Review commits and README documentation before installing.