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在 OpenClaw 中安装
/install clap-trader
功能描述
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance.
使用说明 (SKILL.md)
Crypto Trader & Analyst Skill
This skill allows OpenClaw to analyze the crypto market using technical indicators and news sentiment, record its findings, and execute trades on Binance.
Dependencies
Ensure the following Python packages are installed:
pip install ccxt pandas pandas-ta requests TextBlob
Note: TextBlob is suggested for basic sentiment analysis if needed, though simple keyword matching might suffice.
Environment Variables
You must set the following environment variables for trading:
BINANCE_API_KEY: Your Binance API Key.BINANCE_API_SECRET: Your Binance API Secret.
WARNING: Never share these keys or commit them to version control.
Workflow
1. Market Analysis
Technical Analysis Run the market data script to get current indicators for a symbol (default ETH/USDT).
python skills/crypto_trader/scripts/market_data.py --symbol ETH/USDT
Output: JSON containing RSI, MACD, close price, etc.
Sentiment Analysis Run the sentiment script to fetch latest news headers and forum buzz.
python skills/crypto_trader/scripts/sentiment_data.py
Output: Text/JSON summary of positive/negative news.
2. Decision Making & Logging
Analyze & Record Based on the outputs from step 1, form a hypothesis. Is the market Bullish, Bearish, or Neutral? Before trading, you MUST save your analysis.
python skills/crypto_trader/scripts/logger.py "Your detailed analysis here. E.g., RSI is 30 (oversold) and news is positive. Planning to BUY."
3. Execution
Trade If the analysis supports a trade, execute it.
# Buy 0.01 ETH at Market Price
python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --type market
# Dry Run (Test without real money)
python skills/crypto_trader/scripts/trade.py --symbol ETH/USDT --side buy --amount 0.01 --dry-run
The trade script will automatically append the transaction to skills/crypto_trader/logs/trade_history.csv.
Files structure
scripts/market_data.py: Fetches OHLCV and calculates indicators.scripts/sentiment_data.py: Fetches news/forum data.scripts/logger.py: Appends analysis tologs/analysis_journal.md.scripts/trade.py: Executes trades and logs tologs/trade_history.csv.logs/: Directory storing your analysis history and trade logs.
安全使用建议
This skill appears to do what it says (market analysis + Binance trading), but there are clear inconsistencies you should address before running with real funds: 1) Do not provide your live BINANCE_API_KEY/BINANCE_API_SECRET until you confirm the packaging and paths — the registry metadata omitted these env vars and script paths in SKILL.md don't match the included files. 2) Inspect the code yourself (or have someone you trust review it). 3) When testing, use dry-run mode and/or a Binance testnet key with restricted permissions (disable withdrawals, limit IPs) and small amounts. 4) Run the skill in an isolated environment (container or VM) so logs and any files are contained. 5) Ensure the logs directory paths exist or correct the paths to where you intend logs to be written. If you cannot verify the author/source or fix the metadata/path issues, treat the skill as untrusted and avoid supplying real credentials.
功能分析
Type: OpenClaw Skill
Name: clap-trader
Version: 1.0.0
The skill bundle provides functionality for crypto market analysis and trading on Binance, which aligns with its stated purpose. It requires Binance API keys from environment variables, which is standard practice for sensitive credentials. The `SKILL.md` provides clear instructions for the AI agent and includes a warning about API key security. All scripts (`market_data.py`, `sentiment_data.py`, `logger.py`, `trade.py`) perform actions directly related to the skill's description, such as fetching market data, analyzing sentiment, logging analysis, and executing trades (with a `--dry-run` option). There is no evidence of intentional harmful behavior, data exfiltration to unauthorized endpoints, persistence mechanisms, obfuscation, or malicious prompt injection attempts within the skill's own instructions or code.
能力评估
Purpose & Capability
The scripts (market_data, sentiment_data, logger, trade) implement the advertised functionality (indicators, RSS sentiment, logging, Binance trades). However the registry metadata declares no required environment variables or credentials while the SKILL.md and trade.py clearly require BINANCE_API_KEY and BINANCE_API_SECRET. That mismatch between declared requirements and actual code is incoherent and should be corrected/clarified by the author.
Instruction Scope
SKILL.md instructions are specific and align with the skill's purpose (how to run analysis, log, and execute trades). They instruct fetching external RSS feeds and making network calls to Binance via ccxt — expected for this functionality. Concerns: the SKILL.md command paths use 'skills/crypto_trader/scripts/...' but the distributed manifest lists scripts at top-level 'scripts/...'; log paths in code point to 'skills/crypto_trader/logs/...'. These path inconsistencies can lead to runtime errors or unexpected file creation locations.
Install Mechanism
There is no install spec (instruction-only install), which is lower risk. The README asks users to pip install common packages (ccxt, pandas, pandas-ta, requests, TextBlob) — reasonable for Python-based analysis/trading. No downloads from untrusted URLs or obfuscated installers were found.
Credentials
The only sensitive credentials used by the code are BINANCE_API_KEY and BINANCE_API_SECRET, which are appropriate for Binance trading. However the skill registry metadata omitted these required env vars; that omission is concerning because users may not realize they must provide API keys. No other unrelated credentials are requested.
Persistence & Privilege
The skill does write logs/trade history to local files under a 'logs' path, which is normal for a trading tool. It does not request always:true or modify other skills or system-wide settings. Autonomous invocation is allowed by default but not combined with elevated privileges here.
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 clap-trader - 安装完成后，直接呼叫该 Skill 的名称或使用
/clap-trader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 the Crypto Trader & Analyst skill for OpenClaw:
- Enables technical and sentiment analysis of crypto markets, focusing on ETH/USDT.
- Provides scripts for market data retrieval, sentiment analysis, structured analysis logging, and Binance trading execution.
- Includes guidance on required dependencies, environment variable setup, and safe trading practices.
- Automated logging for all market analyses and trade transactions.
元数据
常见问题
Clap Trader 是什么？
A skill for OpenClaw to research crypto market trends (technical & sentiment) and trade ETH on Binance. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 792 次。
如何安装 Clap Trader？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clap-trader」即可一键安装，无需额外配置。
Clap Trader 是免费的吗？
是的，Clap Trader 完全免费（开源免费），可自由下载、安装和使用。
Clap Trader 支持哪些平台？
Clap Trader 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Clap Trader？
由 dymx101（@dymx101）开发并维护，当前版本 v1.0.0。
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