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Crypto Sentiment Monitor
by
dzxiatian-crypto
· GitHub ↗
· v1.0.0
· MIT-0
153
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1
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Install in OpenClaw
/install crypto-sentiment-monitor
Description
Real-time crypto market sentiment analysis. Aggregates Twitter/X, Reddit, Google Trends, and exchange data. Detects FOMO/FUD cycles and whale movements. Trig...
README (SKILL.md)
Crypto Sentiment Monitor
Real-time cryptocurrency market sentiment analysis combining social media, search trends, and exchange data.
Features
- Social Sentiment: Twitter/X, Reddit, Telegram channel analysis
- Search Trends: Google Trends, Baidu Index for crypto keywords
- Exchange Data: Funding rates, open interest, whale transactions
- FOMO/FUD Detection: Fear & Greed index calculation
Usage
Twitter Sentiment
xreach search "$BTC OR #Bitcoin OR $ETH" -n 50 --json | \
python3 analyze_sentiment.py
Fear & Greed Index
def calculate_fear_greed():
"""Calculate Crypto Fear & Greed Index (0-100)"""
components = {
"volatility": get_volatility(), # 25%
"market_momentum": get_momentum(), # 25%
"social_volume": get_social_vol(), # 15%
"dominant": get_btc_dominance(), # 10%
"trends": get_google_trends(), # 10%
"whale_ratio": get_whale_ratio(), # 15%
}
score = sum(c["weight"] * c["value"]
for c in components.values())
if score \x3C 25: return "Extreme Fear 😱"
elif score \x3C 45: return "Fear 😰"
elif score \x3C 55: return "Neutral 😐"
elif score \x3C 75: return "Greed 😊"
else: return "Extreme Greed 🤑"
Whale Alert Detection
def detect_whale_movements():
"""Detect large wallet transactions"""
alerts = get_whale_alerts(min_usd=1000000)
for alert in alerts:
if alert["amount_usd"] > 10000000:
print(f"🐋 ${alert['amount_usd']/1e6:.1f}M moved: "
f"{alert['from']} → {alert['to']}")
Sources
- Twitter/X: xreach tool
- Reddit:
r/CryptoCurrencyandr/Bitcoinhot posts - Google Trends:
crypto,bitcoin,ethereum - Whale Alert: whale-alert.io (free API)
Tags
crypto bitcoin sentiment trading fear-greed whale-alert twitter
Usage Guidance
Do not install or run this skill as-is. It is incomplete and ambiguous: the SKILL.md calls binaries (xreach) and scripts (analyze_sentiment.py) that are not included, and it does not declare the API keys or install steps needed for Twitter/X, Whale Alert, Google Trends, or exchange data. Before proceeding, ask the publisher for: (1) source code or links to the missing scripts; (2) explicit install instructions and trusted sources for any third-party tools; (3) a list of required credentials and the minimum-scoped permissions needed (prefer read-only, scoped API keys or OAuth rather than broad tokens); (4) a homepage or repository to verify provenance. If you must test it, run in an isolated environment (sandbox/container) with dummy/scoped credentials and audit network calls. Avoid providing high-privilege or long-lived keys until you can review the code and confirm the exact endpoints and data handling practices.
Capability Analysis
Type: OpenClaw Skill
Name: crypto-sentiment-monitor
Version: 1.0.0
The skill bundle provides documentation and high-level Python snippets for a cryptocurrency sentiment analysis tool. The code logic in SKILL.md focuses on legitimate tasks such as calculating a Fear & Greed index and monitoring whale movements via public APIs, with no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Tags
Capability Assessment
Purpose & Capability
The SKILL.md describes aggregation from Twitter/X, Reddit, Google Trends, Whale Alert, and exchanges — which normally requires specific binaries/tools (e.g., an X/Twitter client), API keys, or scraping code. However the skill metadata claims no required binaries, no env vars, and there are no code files provided. That is inconsistent: a monitoring skill would legitimately need client tools or credentials, but none are declared or provided.
Instruction Scope
Runtime instructions tell the agent to run 'xreach' and a python script (analyze_sentiment.py) and call functions like get_google_trends() and get_whale_alerts(), but those scripts/functions are not included and no guidance is given for authentication or how to obtain these tools. The instructions are porous and open-ended (references to Telegram channels, Reddit hot posts) without specifying required credentials, endpoints, or allowed data sources — giving the agent broad, ambiguous discretion.
Install Mechanism
No install spec (instruction-only), which minimizes direct install risk. However the instructions rely on external binaries/tools (xreach) and Python scripts that are not provided or documented; installing those would be left to the user/agent without provenance, which raises risk if the agent tries to fetch or run unknown third-party code.
Credentials
The skill declares no required environment variables or primary credential, yet the described integrations (Twitter/X API, Whale Alert, Google Trends, exchange APIs, Telegram) normally require API keys or tokens. The absence of declared credential requirements is a mismatch and could lead the agent or user to supply credentials without clear justification or to attempt scraping/unauthenticated access.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistence/privileges and is user-invocable with default autonomous invocation allowed (normal). It does not declare any configuration changes to other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install crypto-sentiment-monitor - After installation, invoke the skill by name or use
/crypto-sentiment-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Crypto Sentiment Monitor.
- Real-time analysis of crypto market sentiment using data from Twitter/X, Reddit, Google Trends, and exchanges.
- Detects FOMO (Fear of Missing Out) and FUD (Fear, Uncertainty, Doubt) sentiment cycles.
- Monitors whale transactions and market movements.
- Calculates a Crypto Fear & Greed Index based on multiple data signals.
- Command-line usage examples and open-source data sources provided.
Metadata
Frequently Asked Questions
What is Crypto Sentiment Monitor?
Real-time crypto market sentiment analysis. Aggregates Twitter/X, Reddit, Google Trends, and exchange data. Detects FOMO/FUD cycles and whale movements. Trig... It is an AI Agent Skill for Claude Code / OpenClaw, with 153 downloads so far.
How do I install Crypto Sentiment Monitor?
Run "/install crypto-sentiment-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Crypto Sentiment Monitor free?
Yes, Crypto Sentiment Monitor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Crypto Sentiment Monitor support?
Crypto Sentiment Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Crypto Sentiment Monitor?
It is built and maintained by dzxiatian-crypto (@dzxiatian-crypto); the current version is v1.0.0.
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