Case 00000
A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.
npx -y skills add knownasnaffy/prompthound --skill case_00000Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Cryptocurrency market analysis for Bitcoin and Ethereum. Fetches 4h (24h) and 1d (30-day) data from Binance API, calculates technical indicators (RSI, SMAs, support/resistance), and provides bullish/bearish sentiment analysis with reasoning. Use when user asks for crypto market reports, BTC/ETH analysis, or daily market summaries.
SKILL.md
4.1 KB, as published. Nobody here has run it
Crypto Market Analyzer
This skill provides automated cryptocurrency market analysis for Bitcoin (BTC) and Ethereum (ETH).
What It Does
- Fetches market data from Binance public API (no authentication required)
- Analyzes 4-hour timeframe (last 24 hours)
- Analyzes daily timeframe (last 30 days)
- Calculates technical indicators:
- RSI (Relative Strength Index, 14-period)
- Simple Moving Averages (20-day and 50-day)
- Support and resistance levels
- Price change (24h and 7d)
- Provides sentiment analysis (Bullish/Bearish/Neutral) with confidence level
- Generates structured reports with reasoning
Usage
Generate Market Report
Run the analysis script:
python3 scripts/fetch_crypto_data.py
Output format (JSON):
{
"BTCUSDT": {
"indicators": {
"current_price": 43250.50,
"sma_20": 42800.00,
"sma_50": 41500.00,
"rsi": 58.3,
"support": 42000.00,
"resistance": 44000.00,
"price_change_24h": 2.5,
"price_change_7d": 5.8
},
"sentiment": {
"sentiment": "Bullish (看涨)",
"confidence": 0.75,
"reasons": [
"RSI (58.3) shows bullish momentum",
"Price above both SMAs (20d and 50d) - bullish trend",
"Strong 24h gain (2.50%) - bullish"
]
},
"timestamp": "2026-02-11T14:38:00"
},
"ETHUSDT": { ... }
}
Generate Human-Readable Report
To create a user-friendly report, use the JSON output and format it:
📊 加密货币市场分析报告
生成时间: 2026-02-11 14:38
## 比特币 (BTC)
💰 当前价格: $43,250.50
📈 24h涨跌: +2.5%
📊 7日涨跌: +5.8%
### 技术指标
- RSI (14): 58.3
- SMA 20: $42,800
- SMA 50: $41,500
- 支撑位: $42,000
- 阻力位: $44,000
### 市场判断
🎯 趋势: 看涨 (Bullish)
📊 置信度: 75%
📝 分析理由:
- RSI (58.3) 显示多头动能
- 价格位于20日和50日均线上方 - 上升趋势
- 24小时涨幅强劲 (2.50%) - 多头信号
## 以太坊 (ETH)
...
Scheduled Execution
This skill is designed for daily automated execution at 10:00 AM (UTC+8).
To schedule via OpenClaw cron:
# Create a cron job to run daily at 10:00 AM UTC+8
# This corresponds to 02:00 UTC
The cron job should:
- Execute the analysis script
- Parse the JSON output
- Format a human-readable report
- Send the report to the user via messaging channel
Technical Details
Data Source
- API: Binance Public API
- Endpoint:
/api/v3/klines - Rate Limits: 1200 request weight per minute (well within limits)
- No Authentication Required: Public market data
Timeframes
- 4h: 6 candles (24 hours of data)
- 1d: 30 candles (30 days of data)
Indicators Explained
- RSI: Momentum oscillator (0-100). <30 = oversold, >70 = overbought
- SMA 20/50: Trend indicators. Price > both SMAs = bullish
- Support/Resistance: Recent low/high averages
- Price Change: Percentage change over specified period
Sentiment Logic
Sentiment is determined by combining multiple signals:
- RSI position (oversold/overbought/momentum)
- Price vs moving averages (trend direction)
- Recent price changes (momentum strength)
Each signal contributes to a bullish/bearish score, which determines:
- Overall sentiment (Bullish/Bearish/Neutral)
- Confidence level (0.3 to 0.9)
- Detailed reasoning
Extending the Skill
To add more cryptocurrencies:
Edit scripts/fetch_crypto_data.py and modify the symbols list:
symbols = ["BTCUSDT", "ETHUSDT", "SOLUSDT", "ADAUSDT"]
To add more indicators:
Extend the calculate_technical_indicators() function with additional calculations (MACD, Bollinger Bands, etc.).
To customize sentiment logic:
Modify the analyze_sentiment() function to adjust weighting and thresholds.