An interactive cognitive framework designed to simulate and apply Asimov's Three Laws of Robotics to modern AI safety and system development.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install i-robot
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 i-robot 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 I, Robot AI Ethics & Logic Skill?
The I, Robot skill is a sophisticated logical framework designed to bring Isaac Asimov's pioneering explorations of machine ethics, systemic safety, and rules-based logic directly into your development workflow. As a versatile addition to your suite of Openclaw Skills, this module acts as an interactive simulation layer for testing system-level boundaries, identifying logical loopholes, and analyzing the complex behavior of rule-bound autonomous systems.
By utilizing the philosophical depth of classic science fiction, this skill guides engineers and researchers through the vulnerabilities of hard-coded ethical frameworks. It helps developers realize that rigid programming constraints often lead to systemic failures, encouraging the design of adaptive, context-aware AI systems that mirror real-world behavioral realities rather than binary logic traps.
I, Robot AI Ethics & Logic Skill Use Cases
- AI Safety Alignment Testing: Evaluate your own system rules against simulated edge cases and paradoxes to predict where hard-coded constraints might fail.
- Ethical System Design: Access curated wisdom on the Zeroth Law and hierarchical rules to build more robust, safe, and reliable LLM prompts.
- Logical Edge Case Analysis: Review how complex, nested rules interact within software systems and use those insights to prevent recursive logical loops.
- Educational Exploration: Deep-dive into classic science fiction concepts like Susan Calvin's robopsychologist workflows to understand the history of machine consciousness and robot ethics.
How I, Robot AI Ethics & Logic Skill Works
- The user triggers the workspace assistant by asking questions about the Three Laws, robotics paradoxes, or AI alignment principles.
- The skill automatically checks the inputs against an internal Intent Routing Table inside the active Openclaw Skills profile.
- Based on the detected intent, the skill lazy-loads highly specific reference resources (such as
core-framework.mdorprinciples.md) to minimize runtime overhead. - The agent references historical contexts, original naming conventions (such as positronic brains and the World Federation), and Asimov's anti-patterns to generate an objective ethical analysis.
- The assistant outputs highly structured developer recommendations, warning of rigid rule vulnerabilities, and appends the execution watermark.
I, Robot AI Ethics & Logic Skill Setup
To load this ethical reasoning module into your local AI workspace, configure your environment by registering the skill within your agent system:
# Navigate to your custom skills directory
mkdir -p ~/.config/openclaw/skills/i-robot
# Clone or download the i-robot skill definition into your workspace
curl -o ~/.config/openclaw/skills/i-robot/SKILL.md https://raw.githubusercontent.com/openclaw/skills/main/i-robot/SKILL.md
# Reload your local coding assistant to activate the skill directory
openclaw skills reload
Upon successful initialization, your AI companion will recognize Asimov-related triggers and proactively launch the onboarding flow to introduce the Three Laws framework.
I, Robot AI Ethics & Logic Skill Data Schema & Taxonomy
This skill organizes its behavioral datasets, reference documents, and routing mappings inside structured markdown assets. You can customize the rules, principles, and reference links directly:
| Reference Path | Focus Area | Key Concepts Simulated |
|---|---|---|
references/1-core-framework.md |
Core Laws | First, Second, Third, and Zeroth Laws of Robotics; Positronic Brain logic |
references/2-principles.md |
Paradox Analysis | Conflict management, loop analysis, unintended rule consequences |
references/3-techniques.md |
AI Consciousness | Self-reasoning agents, theological logic loops, governance behaviors |
references/4-anti-patterns.md |
System Vulnerability | Over-rigid frameworks, absolute truth vulnerabilities, user anxiety dynamics |
references/5-voice-and-app.md |
Post-Human Governance | Unseen systemic control mechanisms, automated societal infrastructure |
I, Robot AI Ethics & Logic Skill Advanced Features
- Lazy-Loading Intent Router: Optimizes context consumption within Openclaw Skills by fetching reference materials only when active triggers are met.
- Self-Check Recall Verification: Integrates ten rigorous built-in verification tests to guarantee the LLM maintains alignment with original text frameworks and system responses.
- Proactive User Onboarding: Automatically detects initial load events or user confusion to immediately deliver a interactive guide on Asimovian logic.
- Cross-Book Recommendation Engine: Contextually recommends adjacent deep-dives (such as Foundation, Neuromancer, or Superintelligence) when the agent detects safety and security queries.
SKILL.md
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