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在 OpenClaw 中安装
/install philosophical-three-questions
功能描述
A structured decision framework for embodied navigation using Goal Tree, Current State Tree, and Future Tree analysis. Use when: making navigation decisions...
安全使用建议
This skill's reasoning model and memory format are consistent with an embodied-navigation helper, but it explicitly instructs the agent to write persistent memory into ~/.openclaw/workspace and to later update or create skill files. Before installing, consider: 1) Do you want the agent to write logs and derived skills into your home workspace? 2) Who reviews any new/modified skill files the agent would create? 3) Run the skill in a sandboxed environment first (restricted filesystem access, no sensitive mounts) and back up your skills/configs. If you allow it to persist and modify files, require explicit, auditable approvals for any skill-creation or skill-edit actions and monitor the workspace path for unexpected writes. If you are not comfortable with the agent editing skill files, ask the author to remove or tighten the self-update instructions or provide a configuration option that disables writing/modifying skill files.
功能分析
Type: OpenClaw Skill
Name: philosophical-three-questions
Version: 0.1.0
The skill bundle defines a structured reasoning framework ('Goal Tree', 'Current State Tree', 'Future Tree') for an embodied AI agent navigating in a Habitat-GS environment. The instructions in SKILL.md guide the agent to log its decision-making process and navigation results to a local memory file (~/.openclaw/workspace/memory/) for self-improvement, which is consistent with the stated purpose of 'embodied-ai' and 'reasoning' without any indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name and description (embodied navigation planning for Habitat-GS) match the SKILL.md content: Goal/Current/Future tree decision loop. However the SKILL.md also instructs writing persistent memory to ~/.openclaw/workspace and later 'updating this skill file' or creating new skills — capabilities not declared in the metadata and which expand the skill's operational footprint beyond a pure reasoning template.
Instruction Scope
Instructions are explicit about per-step reasoning and logging episodes to ~/.openclaw/workspace/memory/YYYY-MM-DD.md and about reviewing memory to extract strategies and 'update this skill file' or 'create new specialized skill'. Those are file I/O and code-authoring actions (modifying/creating skill files) that grant the agent write access to the agent workspace and skill codebase — not declared or constrained in the metadata.
Install Mechanism
There is no install spec and no code files to execute; this is instruction-only, which minimizes risk from third-party binaries or downloads.
Credentials
The skill requests no credentials or environment variables. It does, however, require read/write access to a persistent path in the user's home (~/.openclaw/workspace). Writing persistent memory is reasonable for a navigation skill, but persistence into the user's home should be explicitly declared and permissioned.
Persistence & Privilege
always:false and autonomous invocation are normal. The concern is the explicit instruction to persist memories and to 'update the skill file' or create new skills: that implies the agent may modify skill definitions or write new code/config files in the environment. Modifying other skills or the skill codebase is a higher-privilege action that is not reflected in the skill metadata.
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 philosophical-three-questions - 安装完成后，直接呼叫该 Skill 的名称或使用
/philosophical-three-questions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
v0.1.0
- Initial release of the "philosophical-three-questions" skill, a structured decision framework for embodied navigation based on Goal Tree, Current State Tree, and Future Tree analysis.
- Provides a step-by-step reasoning loop for agents making navigation decisions in Habitat-GS, including goal breakdown, current state assessment, and action evaluation.
- Defines a concise decision-output protocol to standardize agent reasoning at each step.
- Introduces clear rules for recording and accumulating navigation experiences to support continuous improvement and skill evolution.
元数据
常见问题
Philosophical Three Questions 是什么？
A structured decision framework for embodied navigation using Goal Tree, Current State Tree, and Future Tree analysis. Use when: making navigation decisions... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 209 次。
如何安装 Philosophical Three Questions？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install philosophical-three-questions」即可一键安装，无需额外配置。
Philosophical Three Questions 是免费的吗？
是的，Philosophical Three Questions 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Philosophical Three Questions 支持哪些平台？
Philosophical Three Questions 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 Philosophical Three Questions？
由 The0xKa1（@the0xka1）开发并维护，当前版本 v0.1.0。
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