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Install in OpenClaw
/install philosophical-three-questions
Description
A structured decision framework for embodied navigation using Goal Tree, Current State Tree, and Future Tree analysis. Use when: making navigation decisions...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install philosophical-three-questions - After installation, invoke the skill by name or use
/philosophical-three-questions - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Philosophical Three Questions?
A structured decision framework for embodied navigation using Goal Tree, Current State Tree, and Future Tree analysis. Use when: making navigation decisions... It is an AI Agent Skill for Claude Code / OpenClaw, with 209 downloads so far.
How do I install Philosophical Three Questions?
Run "/install philosophical-three-questions" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Philosophical Three Questions free?
Yes, Philosophical Three Questions is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Philosophical Three Questions support?
Philosophical Three Questions is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Philosophical Three Questions?
It is built and maintained by The0xKa1 (@the0xka1); the current version is v0.1.0.
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