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Scrub Trading Signals Pro
作者
drivenautoplex1
· GitHub ↗
· v1.0.0
· MIT-0
108
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install trading-signals-pro
功能描述
Crypto trading signals using CoinGecko price data, DeFiLlama TVL trends, and CCXT exchange order flow — momentum, RSI, VWAP signals for XRP, HBAR, BTC, ETH,...
安全使用建议
Do not install or provide credentials yet. Key issues to resolve before use:
- Missing code: SKILL.md repeatedly refers to trade_signals.py and shows code snippets, but the published package contains no code files. Ask the publisher for the actual script or a source tarball. Without the code the skill cannot perform the promised actions and CLI examples will fail.
- Confirm install source: the install 'kind' is 'uv' (unfamiliar). Verify the installer will fetch requests and ccxt from a trusted PyPI source (not a custom URL) and confirm what filesystem changes occur during install.
- API key scope: CoinGecko often works without an API key for public data; if you must provide COINGECKO_API_KEY, prefer a read-only or limited key and consider rotating it after testing. Expect that asset symbols and query parameters will be sent to CoinGecko, DeFiLlama, SaucerSwap and exchange public endpoints (these are external network calls). If you have privacy concerns, do not supply the key until you can review the actual code.
- Trust boundaries: the skill may call ccxt or agent-to-agent MCP functions to fetch exchange data. Only run this skill in environments where outbound API calls and use of those libraries are acceptable and where the agent/other agents involved are trusted.
If the author provides the missing trade_signals.py and confirms the install pulls from PyPI, re-evaluate — with the current package contents the skill is incoherent and should be treated as suspicious.
功能分析
Type: OpenClaw Skill
Name: trading-signals-pro
Version: 1.0.0
The 'trading-signals-pro' skill is a tool for analyzing cryptocurrency market data using CoinGecko, DeFiLlama, and CCXT. The documentation in SKILL.md and the provided Python snippets describe legitimate technical analysis logic (RSI, VWAP, momentum) and DeFi yield scanning via the SaucerSwap API. The skill requires a CoinGecko API key but does not exhibit any signs of data exfiltration, unauthorized execution, or prompt injection intended to subvert the agent's behavior.
能力评估
Purpose & Capability
The skill's stated purpose (compute momentum/RSI/VWAP using CoinGecko, DeFiLlama, and ccxt) is internally consistent with requiring python3, requests and ccxt and the COINGECKO_API_KEY. However, the SKILL.md repeatedly references and documents a local script (trade_signals.py) and concrete Python implementations as if the code is included — but the skill package contains no code files. That is an important inconsistency: either the agent is expected to run a non-existent script, or the skill is only documentation and cannot perform the promised actions without missing files.
Instruction Scope
Instructions direct the agent to call external APIs (CoinGecko, DeFiLlama, SaucerSwap) and optionally use ccxt public endpoints — those network calls are expected for this functionality. The problematic part is that SKILL.md instructs running trade_signals.py and shows CLI examples and code snippets but provides no runtime code. If the agent or user runs those commands as-is they will fail or attempt to run code that does not exist. The instructions otherwise do not attempt to read unrelated local secrets or system files.
Install Mechanism
The install spec requests two Python packages (requests and ccxt), which are appropriate for the described tasks. The install 'kind' is listed as 'uv' which is non-standard/unfamiliar in this context (typical would be pip). This could be a harmless naming detail in the registry, but it should be confirmed that the install mechanism fetches packages from a trusted index (PyPI) rather than an arbitrary URL or custom source.
Credentials
Only COINGECKO_API_KEY is required and declared as the primary credential. That aligns with using CoinGecko for price data. No unrelated secrets or broad cloud credentials are requested.
Persistence & Privilege
The skill does not request always:true and uses default invocation settings. It does not declare any persistent system-wide modifications or access to other skills' configs.
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 trading-signals-pro - 安装完成后，直接呼叫该 Skill 的名称或使用
/trading-signals-pro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: provides advanced crypto trading and DeFi yield signals using real-time data.
- Analyzes price momentum, RSI, and VWAP for assets like XRP, HBAR, BTC, ETH, and major DeFi tokens.
- Aggregates CoinGecko price history, ccxt exchange order flow, and DeFiLlama TVL and yield data.
- Supports momentum, RSI, VWAP, DeFi yield scan, and portfolio dashboard modes.
- Outputs combine JSON and human summaries with signal strength, context, and actionable insights.
- Features special support for HBAR ecosystem (e.g., SaucerSwap LP yield signals).
- Usable via Telegram, command line, Claude, or direct Python script for seamless integration.
元数据
常见问题
Scrub Trading Signals Pro 是什么？
Crypto trading signals using CoinGecko price data, DeFiLlama TVL trends, and CCXT exchange order flow — momentum, RSI, VWAP signals for XRP, HBAR, BTC, ETH,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 108 次。
如何安装 Scrub Trading Signals Pro？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install trading-signals-pro」即可一键安装，无需额外配置。
Scrub Trading Signals Pro 是免费的吗？
是的，Scrub Trading Signals Pro 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Scrub Trading Signals Pro 支持哪些平台？
Scrub Trading Signals Pro 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 Scrub Trading Signals Pro？
由 drivenautoplex1（@drivenautoplex1）开发并维护，当前版本 v1.0.0。
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