Cortex-governed execution wrapper that checks alignment, steers if needed, executes, and auto-logs to the SEAL chain.
AI agents invoke omega_execute to trigger actions in Mcp-Omega-Brain. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
omega_execute triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Cortex-governed execution wrapper that checks alignment, steers if needed, executes, and auto-logs to the SEAL chain. It is categorised as a Execute tool in the Mcp-Omega-Brain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp-Omega-Brain MCP server in PolicyLayer and add a rule for omega_execute: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp-Omega-Brain. Nothing to install.
omega_execute is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the omega_execute rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for omega_execute. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
omega_execute is provided by the Mcp-Omega-Brain MCP server (vrtxomega/omega-brain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.