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Crypto Sentiment Monitor

Name: Crypto Sentiment Monitor
Author: dzxiatian-crypto

作者 dzxiatian-crypto · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

153

总下载

当前安装

版本数

在 OpenClaw 中安装

/install crypto-sentiment-monitor

功能描述

Real-time crypto market sentiment analysis. Aggregates Twitter/X, Reddit, Google Trends, and exchange data. Detects FOMO/FUD cycles and whale movements. Trig...

使用说明 (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/CryptoCurrency and r/Bitcoin hot posts
Google Trends: crypto, bitcoin, ethereum
Whale Alert: whale-alert.io (free API)

Tags

crypto bitcoin sentiment trading fear-greed whale-alert twitter

安全使用建议

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.

功能分析

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.

能力标签

cryptorequires-wallet

能力评估

⚠ 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.

ℹ 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.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install crypto-sentiment-monitor
安装完成后，直接呼叫该 Skill 的名称或使用 /crypto-sentiment-monitor 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

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.

元数据

Slug crypto-sentiment-monitor

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题