Execute shell commands on the host system (YOLO mode)
AI agents invoke exec_cli to trigger actions in OODA Computer Control. 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.
This tool directly executes arbitrary shell commands on the host system with no apparent restrictions (indicated by 'YOLO mode'). Shell command execution is the definition of Execute category risk—it can trigger external operations with effects entirely dependent on the arguments provided. The 'YOLO' qualifier suggests deliberate bypass of safety constraints.
From the tool's definition Tool description explicitly states 'Execute shell commands on the host system' with '(YOLO mode)' indicating unrestricted execution.
Documented attack patterns abuse exactly the kind of access exec_cli gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OODA Computer Control, and nothing reaches the server without passing your rules. This is the rule we recommend for exec_cli:
{
"version": "1",
"default": "deny",
"tools": {
"exec_cli": {
"limits": [
{
"counter": "exec_cli_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}exec_cli stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Execute shell commands on the host system (YOLO mode). It is categorised as a Execute tool in the OODA Computer Control MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OODA Computer Control MCP server in PolicyLayer and add a rule for exec_cli: 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 OODA Computer Control. Nothing to install.
exec_cli 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 exec_cli 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 exec_cli. 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.
exec_cli is provided by the OODA Computer Control MCP server (mnehmos/mnehmos.ooda.mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OODA Computer Control, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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99 OODA Computer Control tools catalogued and risk-classified — across an index of 43,000+ MCP servers.