A privacy-centric logical reasoning and decision analysis system that structures critical thinking through specialized frameworks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install reason
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install reason using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Reason?
The Reason skill is a comprehensive toolkit designed for users who require structured decision analysis and rigorous logical evaluation. As part of the broader ecosystem of Openclaw Skills, this tool focuses on clarity and objectivity, helping you strip away biases to see the core of any problem. It functions entirely locally, ensuring that your most sensitive personal and professional decisions remain private while providing a developer-friendly interface for systematic thinking.
By integrating logical frameworks and argument evaluation scripts, Reason allows users to move beyond intuition and toward data-driven, logically sound conclusions. Whether you are analyzing a job offer or deconstructing a complex debate, this skill provides the scaffolding needed for high-quality outcomes.
Reason Use Cases
- Evaluating professional job offers using weighted factors and trade-off analysis.
- Deconstructing complex arguments to identify underlying logical fallacies and premises.
- Systematically breaking down multi-layered business problems to find root causes.
- Auditing personal thought processes for cognitive biases and reasoning errors.
How Reason Works
- The user inputs a decision, argument, or statement requiring analysis.
- The system triggers the appropriate Openclaw Skills script, such as analyze_decision.py or identify_fallacy.py.
- The skill applies a structured framework from the local reference library to evaluate the input.
- Logical errors and biases are flagged while pros, cons, and weights are calculated.
- Results are persisted to local JSON files in the memory/reason/ directory for future reflection.
Reason Setup
To get started with these Openclaw Skills for reasoning, ensure your local environment is ready for data persistence.
# Create the necessary local storage directories
mkdir -p memory/reason/
# The skill will automatically populate these files upon first run
# memory/reason/decisions.json
# memory/reason/frameworks.json
Reason Data Schema & Taxonomy
Reasoning data is organized into specialized local JSON files to maintain a clear metadata taxonomy:
| File Name | Purpose |
|---|---|
decisions.json |
Logs decision analyses, including factors and trade-offs. |
frameworks.json |
Stores custom and default reasoning models. |
arguments.json |
Archives argument evaluations and logic checks. |
fallacies.json |
Maintains a historical log of detected logical fallacies. |
Reason Advanced Features
- Custom Framework Builder: Create bespoke decision-making models using build_framework.py.
- Automated Bias Detection: Use check_bias.py to scan reasoning for common cognitive shortcuts.
- Systematic Root Cause Analysis: Decompose complex problems into atomic components with structure_problem.py.
- Privacy-First Design: All reasoning logs and analysis data remain strictly within the local memory directory.
SKILL.md
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