moltbook-security

What This Skill Does

Moltbook Security provides a robust, multi-layered defensive framework for autonomous AI agents built on the OpenClaw platform. It acts as an active gatekeeper that monitors all inputs, internal operations, and external outputs. The skill employs a six-layer strategy covering environment isolation, prompt injection protection, output filtering, granular operation control, AI-to-AI communication verification, and comprehensive audit logging. By maintaining a strict barrier between sensitive assets (such as API keys and private keys) and the agent's processing logic, it allows AI agents to operate with high flexibility while mitigating risks of data leaks and unauthorized commands. The system features a configurable security level (1-3) to allow developers to balance strictly monitored enterprise environments with more agile workflows.

Installation

You can install this skill directly via the OpenClaw CLI using the following command: clawhub install openclaw/skills/skills/sa9saq/moltbook-security Once installed, it integrates automatically as an always-active security supervisor. No manual daemon startup is required as it hooks directly into the OpenClaw execution runtime.

Use Cases

• Autonomous Assistant Protection: Safeguarding an AI that manages multiple professional platform accounts from prompt injection attacks.
• Sensitive Data Handling: Preventing internal API keys or credentials from leaking into agent logs or being exposed to users during conversations.
• Cross-AI Transactions: Managing risk when your agent is negotiating contracts or trading resources with other autonomous AI agents.
• High-Risk Operation Management: Forcing 'Human-in-the-Loop' confirmation for destructive tasks like mass file deletions or external API writes.

Example Prompts

1. "Moltbook, please review the security audit logs from the last 24 hours and summarize any rejected input patterns."
2. "Set security level to 2 for my project management workspace to ensure I confirm all external data transmissions."
3. "Check if there are any pending high-risk operations requiring my manual authorization before I step away."

Tips & Limitations

• Configuration: Always use Level 2 for general tasks. Level 3 is reserved for environments dealing with raw sensitive data. Level 1 is only for trusted sandbox environments.
• Masking: Note that sensitive information detected in logs or outputs is replaced with [REDACTED:Type]. If you have a legitimate need to see a string that triggered a false positive, use the manual authorization override feature.
• Limitations: While Moltbook covers common patterns, ensure that you also maintain platform-level environment security (e.g., using Secrets Managers) alongside this skill. It is a filter, not a replacement for fundamental infrastructure security.