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版本数
在 OpenClaw 中安装
/install decision-trees
功能描述
Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis.
安全使用建议
Install is reasonable for normal use. Treat it as a decision-structuring aid, not professional financial, legal, medical, or business advice. If you run the optional Python calculator, only point it at files you intended to use and avoid saving over important files.
功能分析
Type: OpenClaw Skill
Name: decision-trees
Version: 1.0.1
The skill bundle provides a decision tree analysis tool. The `SKILL.md` and `README.md` files contain instructions for the AI agent and user, which are entirely focused on structured decision-making and do not exhibit any prompt injection attempts, unauthorized data access, or external command execution. The `scripts/decision_tree.py` script performs expected value calculations, reads user-provided JSON files, and optionally saves user-generated data to a JSON file, all within its stated purpose and without any malicious file system access, network communication, or arbitrary code execution.
能力评估
Purpose & Capability
The README, SKILL.md, and Python script consistently support decision-tree and expected-value analysis. The calculator reads user-selected JSON or collects interactive inputs, which fits the stated purpose.
Instruction Scope
The activation language is broad and includes domains such as investing and business decisions, but the artifacts disclose limitations and frame the output as structured thinking rather than authoritative advice.
Install Mechanism
No install-time commands, dependency installation, hooks, or background setup are present. The documented Python script is manually invoked by the user.
Credentials
The script can read a user-specified JSON file and, in interactive mode, save to a user-provided filename. This is proportionate to the calculator workflow, but users should avoid sensitive inputs and choose output paths carefully.
Persistence & Privilege
There is no credential access, network transmission, privileged path use, background process, or persistent agent behavior. Persistence is limited to an optional user-confirmed JSON save.
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 decision-trees - 安装完成后，直接呼叫该 Skill 的名称或使用
/decision-trees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
v1.0.1
Translate SKILL.md to English for international audience
v1.0.0
Initial release: Universal decision tree analysis for business, trading, personal decisions, and operations. Includes Python EV calculator and examples across all domains.
元数据
常见问题
Decision Trees 是什么？
Decision tree analysis for complex decision-making across all domains. Use when user needs to evaluate multiple options with uncertain outcomes, assess risk/reward scenarios, or structure choices systematically. Applicable to business, investment, personal decisions, operations, career choices, product strategy, and any situation requiring structured evaluation. Triggers include decision tree, should I, what if, evaluate options, compare alternatives, risk analysis. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 4715 次。
如何安装 Decision Trees？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install decision-trees」即可一键安装，无需额外配置。
Decision Trees 是免费的吗？
是的，Decision Trees 完全免费（开源免费），可自由下载、安装和使用。
Decision Trees 支持哪些平台？
Decision Trees 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 Decision Trees？
由 evgyur（@evgyur）开发并维护，当前版本 v1.0.1。
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