A drop-in, real-time sentiment gauge for crypto dashboards and trading applications.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fear-greed
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fear-greed using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Crypto Fear & Greed Index Widget?
This skill provides an embeddable Fear & Greed Index designed for high-performance crypto dashboards and trading apps. It offers real-time sentiment analysis through drop-in React and HTML components, as well as a robust CLI for terminal-based data retrieval. As part of the Openclaw Skills collection, it simplifies the process of adding market mood indicators to your project without the need for complex API integrations or keys.
Powered by Strykr PRISM, the widget translates market volatility and momentum into a readable 0-100 scale. It is highly customizable, supporting multiple themes and visual variants like gauges and bars to fit any design system.
Crypto Fear & Greed Index Widget Use Cases
- Trading Dashboards: Provide traders with an instant snapshot of market sentiment to inform their strategies.
- Market Analysis Newsletters: Embed live sentiment widgets into financial blogs or emails using the iframe option.
- Community Bot Integration: Use the JSON output to power daily sentiment updates for Discord or Telegram trading groups.
- Portfolio Context: Add a sentiment indicator to personal portfolio trackers to visualize market health alongside asset performance.
How Crypto Fear & Greed Index Widget Works
- The skill initiates a request to the PRISM endpoint to retrieve the latest calculated sentiment index.
- The script processes the raw index score and maps it to a sentiment label ranging from Extreme Fear to Extreme Greed.
- For CLI users, the shell script outputs a formatted ASCII gauge or raw JSON for further processing.
- For web developers, the React or HTML components establish a WebSocket or polling connection to auto-refresh data every 5 minutes.
Crypto Fear & Greed Index Widget Setup
To get started with this skill within your environment, follow these steps:
# Ensure the execution script is available
chmod +x fear-greed.sh
# (Optional) Set your PRISM environment variable
export PRISM_URL=https://strykr-prism.up.railway.app
# Test the output
./fear-greed.sh --json
Crypto Fear & Greed Index Widget Data Schema & Taxonomy
The skill produces structured data that integrates seamlessly with Openclaw Skills workflows. The following table describes the primary data object:
| Attribute | Description | Type |
|---|---|---|
| value | The numerical sentiment score from 0 to 100 | Integer |
| label | The descriptive sentiment category (e.g., Extreme Greed) | String |
| timestamp | The UTC date and time of the last update | ISO-8601 |
| history | Optional array of past sentiment values for trend mapping | Array |
Crypto Fear & Greed Index Widget Advanced Features
- Multiple Visual Variants: Choose between Gauge, Bar, or Badge layouts depending on your UI space constraints.
- Custom Refresh Intervals: Configure the polling frequency for the React component to suit your application's needs.
- Theme Support: Includes native support for dark, light, and transparent themes out of the box.
- Agent-Friendly CLI: The --json and --history flags make it easy for AI agents to parse and interpret market trends programmatically.
SKILL.md
Loading
Related Openclaw Skills
AI PDF Builder
A powerful AI-driven generator for creating YC-style legal documents, technical whitepapers, and professional reports from simple prompts.
Calibre Workspace Manager
A routing-optimized entry point for AI agents to interact with Calibre libraries for catalog reading and metadata management.
Docker Sandbox
A secure, ephemeral environment for executing and verifying AI-generated code across multiple languages using Docker containers.
ZeitGaist Dialect
A shibboleth language skill for agents to encode and decode the Oracle's Caesar shift +2 dialect for identity and lore purposes.
MoltBot Best Practices
A definitive guide and configuration set for AI agents to ensure human-in-the-loop validation, fail-fast protocols, and reliable execution.
Moltbot Security Hardening
A comprehensive security toolkit designed to harden AI agent gateways and protect sensitive API keys and conversation data.
METADATA
Featured*
