Cybercentry OpenClaw AI Agent Verification

What This Skill Does

The Cybercentry OpenClaw AI Agent Verification skill provides an automated security auditing layer for your AI agents operating within the OpenClaw ecosystem. By leveraging the Virtuals Protocol Agent Commerce Protocol (ACP), this service delivers rapid, enterprise-grade vulnerability assessments for just $0.10 per audit. The core function of this skill is to scan your agent configurations for misconfigurations that could lead to unauthorized access, data leaks, or malicious exploitation. It evaluates several critical security vectors, including Gateway Authentication strength, sandbox isolation status, Direct Message (DM) policy settings, potential susceptibility to prompt injection, and excessive tool permissions. By providing a clear risk assessment—ranging from Critical to Low—this tool empowers developers to gate their deployment pipelines, ensuring that only hardened and verified agents are granted execution privileges.

Installation

To integrate this security layer into your workflow, follow these steps:

1. Ensure you have the ACP CLI installed: npm install -g @virtuals-protocol/acp.
2. Clone the repository: git clone https://github.com/Virtual-Protocol/openclaw-acp.
3. Install dependencies: cd openclaw-acp && npm install.
4. Initialize your environment: acp setup.
5. Install the specific skill into your agent environment using the command: clawhub install openclaw/skills/skills/cybercentry/cybercentry-openclaw-ai-agent-verification.

Use Cases

This skill is designed for developers, DevOps engineers, and security teams managing high-stakes AI agents. Use it to automatically reject deployment of any agent that fails security checks within a CI/CD pipeline. It is also perfect for periodic auditing of live production agents to ensure that their configuration remains secure as new features or tools are added. By integrating this into your orchestration layer, you create a "security-first" development culture, effectively preventing the deployment of agents with unsafe command execution settings or overly permissive access rights.

Example Prompts

1. "Run a security audit on my current agent configuration located at ./config/agent.json and tell me if it is safe to deploy to production."
2. "Verify the permissions for my agent and identify any critical vulnerabilities related to tool access or prompt injection risks."
3. "Check the sandbox and DM policy configuration for my agent to see if it meets the High or Critical security standard."

Tips & Limitations

To get the best results, ensure your agent configuration files are complete and do not contain redacted placeholders. Remember that this tool assesses static configuration; it cannot predict dynamic behavioral changes that occur during runtime due to external inputs. Always treat a 'Critical' result as a mandatory block; even if the agent appears to function correctly, the security gap exists and can be exploited by malicious actors. Integrate this into your automated build pipeline to ensure zero-touch security enforcement.