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版本数
在 OpenClaw 中安装
/install strategy-voting
功能描述
多策略投票交易系统。当用户说"投票策略"、"多策略"、"策略投票"、"综合信号"时触发。整合突破、RSI均值回归、MACD金叉、布林带四个策略,加权投票决定交易信号。
安全使用建议
What to consider before installing: (1) This skill appears to do exactly what it claims — generate weighted voting signals — and does not exfiltrate data or request credentials. (2) Operational notes: the script requires numpy and pandas but the skill provides no install steps; install those packages in the agent environment or add a dependency spec. (3) SKILL.md runs the script via a hard-coded workspace path — ensure the agent environment has the file at that location or adjust the path. (4) The included script uses a generated test dataset and has no broker/exchange integration — if you plan to connect it to live trading, review and add secure, explicit code for authentication and order execution (never paste API keys into untrusted skills). (5) If you need the agent to call this autonomously, be aware autonomous invocation is allowed by default; because this skill requests no secrets the risk is low, but always review integration code before giving it access to real funds.
功能分析
Type: OpenClaw Skill
Name: strategy-voting
Version: 1.0.0
The skill bundle implements a standard multi-strategy technical analysis voting system for trading, including Breakout, RSI, MACD, and Bollinger Bands strategies. The code in scripts/voter.py is well-structured, uses standard libraries (numpy, pandas), and contains no evidence of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name/description (多策略投票交易系统) align with the included Python implementation: four strategies (breakout, RSI reversion, MACD cross, Bollinger) and weighted voting logic are implemented. The skill does not request unrelated credentials or binaries.
Instruction Scope
SKILL.md tells the agent to run the bundled script at /root/.openclaw/workspace/skills/strategy-voting/scripts/voter.py which matches the provided file. The runtime instructions do not attempt to read unrelated files or environment variables. Note: the instructions only run a self-contained test dataset — they do not explain how to feed live market data or integrate with an exchange, and they do not declare required Python packages.
Install Mechanism
There is no install spec (instruction-only), so nothing external is downloaded. The code imports numpy and pandas but the skill does not declare or install these dependencies; this is an operational omission (may cause runtime errors) rather than a security red flag. No external URLs or archives are used.
Credentials
The skill declares no required environment variables or config paths and the code does not access environment secrets or network endpoints. There are no credential requests — proportional to being a local signal generator.
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or system configuration. It only prints a report and does not persist data or enable itself globally.
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 strategy-voting - 安装完成后,直接呼叫该 Skill 的名称或使用
/strategy-voting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
多策略投票交易系统:突破、RSI、MACD、布林带加权投票
元数据
常见问题
Strategy Voting 是什么?
多策略投票交易系统。当用户说"投票策略"、"多策略"、"策略投票"、"综合信号"时触发。整合突破、RSI均值回归、MACD金叉、布林带四个策略,加权投票决定交易信号。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 147 次。
如何安装 Strategy Voting?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install strategy-voting」即可一键安装,无需额外配置。
Strategy Voting 是免费的吗?
是的,Strategy Voting 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Strategy Voting 支持哪些平台?
Strategy Voting 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 Strategy Voting?
由 huiLI203(@huili203)开发并维护,当前版本 v1.0.0。
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