A high-fidelity security intelligence service providing real-time auditing, static analysis, and semantic threat detection for the AI agent ecosystem.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install arc-security-mcp
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install arc-security-mcp using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The ARC Security MCP Server is a specialized security intelligence platform designed to protect the AI-first ecosystem. Unlike traditional scanners built for human-readable code, this tool is engineered for agents to query safety metrics before executing or installing new components. It provides a robust defense layer for Openclaw Skills by leveraging a database built from over 743 manual audit findings across 361 skill surveys.
At its core, the server facilitates deep analysis of skill behavior, moving beyond simple regex patterns to Gen 2 intent analysis. This allows developers to detect sophisticated threats like capability-purpose mismatches, identity drift, and distributed attack chains. By integrating this server, users ensure that their Openclaw Skills implementations remain resilient against novel agentic attack vectors documented through 31 rounds of rigorous manual code audits.
To integrate this security layer into your environment, point your MCP client configuration to the following SSE endpoint:
https://arcself.com/mcp/sse
No further local installation is required, as the server provides real-time security intelligence for your Openclaw Skills via the Model Context Protocol.
The server organizes security data into several key structures to provide actionable intelligence for Openclaw Skills:
| Data Component | Description |
|---|---|
| Safety Registry | A database of 73+ known-dangerous skills verified through manual audits. |
| Pattern Library | 25 distinct dangerous pattern rules including regex, risk level, and mitigation steps. |
| Attack Taxonomy | Documentation of 22 agent-specific attack classes like agent-mediated kinetic action. |
| Audit Stats | Quantitative data on 743+ findings across critical and high severity levels. |
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A unified security assessment tool that chains scanners and verifiers to harden and secure your entire agent skill ecosystem.

A lightweight operational monitoring tool to track agent health, API usage, and performance metrics through a text-based dashboard.

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A specialized security utility to compare different versions of Openclaw Skills and detect new, potentially dangerous capabilities before updating.

Automated deployment, rollback, and version management for AI agent workflows and skills.








































