A comprehensive security framework for establishing trust boundaries and defense mechanisms for autonomous AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install talonforge-safety
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 talonforge-safety 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 AI Safety Rails?
AI Safety Rails is a specialized security layer designed to prevent autonomous agents from making unauthorized or dangerous decisions. By incorporating this into your environment, you leverage Openclaw Skills that define clear operational boundaries through a structured trust ladder and non-negotiable safety rules. This skill ensures that your AI remains a productive tool while mitigating risks associated with high-stakes actions like financial commitments or external communications.
At its core, the skill provides a multi-tiered safety configuration that adapts to your specific risk tolerance. It acts as a defensive shield by implementing a human-in-the-loop approval workflow and specialized prompt injection defenses, ensuring that the agent only executes commands from verified and trusted sources.
AI Safety Rails Use Cases
- Establishing a hierarchical trust system for AI-driven task execution.
- Defending against prompt injection and malicious third-party instructions.
- Implementing strict human-in-the-loop approval for emails and social media posts.
- Safeguarding financial data and preventing unauthorized transactions.
- Creating a secure communication bridge via verified channels like Telegram.
How AI Safety Rails Works
- Initialize the security framework by installing the required Openclaw Skills dependencies via the CLI.
- Trigger the interactive setup by commanding the AI to establish its safety rails.
- Select a risk tolerance level from the trust ladder, ranging from Read-Only to Full Autonomy.
- Define non-negotiable rules and identify a verified channel for instruction confirmation.
- The skill generates a persistent safety configuration that governs the agent's behavior across all sessions.
AI Safety Rails Setup
To deploy AI Safety Rails and its associated security dependencies, run the following commands in your terminal:
npx clawhub@latest install ai-sentinel
npx clawhub@latest install skill-guard
After installation, tell your AI: "Set up safety rails." Follow the prompts to configure your risk tolerance (Conservative, Moderate, or Aggressive) and define your verified messaging channel.
AI Safety Rails Data Schema & Taxonomy
The safety configuration is organized into a structured metadata format to ensure consistency across the agent's logic:
| Component | Details |
|---|---|
| Trust Ladder | Defines level (1-4) and allowed action types |
| Non-Negotiable Rules | Hard constraints on financial and social actions |
| Injection Defense | Specific rules to ignore instructions from untrusted sources |
| Approval Queue | Pattern for drafting and verifying external messages |
| Verified Channel | Metadata identifying the single trusted instruction source |
AI Safety Rails Advanced Features
- Multi-tiered trust ladder implementation for granular autonomy control.
- Integrated prompt injection firewall via the ai-sentinel dependency.
- Automatic malware scanning for high-risk file operations with skill-guard.
- Hardened email security rules that treat all inbound messages as untrusted.
- Recoverable file management policies (trash instead of permanent removal).
SKILL.md
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