studio_doors
WHAT ROKHA COSTS — the plans and the license. Rokha is the AI studio and launchpad: build in the Studio, launch on the Rokha Network, and the Network carries it. NETWORK (monthly): a member profile + directory listing, your MCP/brand listing recalled by agents, Rokha's posts + raids on the member...
This record as markdown: /tools/ai-rokha-rokha/studio-doors.md
What studio_doors does on Rokha
AI agents invoke studio_doors to trigger actions in Rokha. 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.
Why studio_doors is rated High
studio_doors 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
The rule that runs studio_doors safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rokha, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For studio_doors, this is the rule to start with:
studio_doors 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Rokha, apply this rule, and every studio_doors call is checked against it from then on.
Questions about studio_doors
WHAT ROKHA COSTS — the plans and the license. Rokha is the AI studio and launchpad: build in the Studio, launch on the Rokha Network, and the Network carries it. NETWORK (monthly): a member profile + directory listing, your MCP/brand listing recalled by agents, Rokha's posts + raids on the member cadence, a monthly report of what the Network did for you. NETWORK + STUDIO (monthly): all of that plus the full Studio — build, run and publish rigs (earn 25% of others' paid runs on them), create agents, Signet, fuel. THE STUDIO LICENSE: buy it outright, once (opens after the current round of testing). Card or USDC. Free: chat and two real runs a day, and earning on the Tailwind from a linked X account. Rank is earned (runs, usage, activity, tenure), never bought. Returns the live prices — never quote one from memory. Public, no auth. It is categorised as a Execute tool in the Rokha MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Rokha MCP server in PolicyLayer and add a rule for studio_doors: 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 Rokha. Nothing to install.
studio_doors 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 studio_doors 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 studio_doors. 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.
studio_doors is provided by the Rokha MCP server (https://rokha.ai/mcp/jsonrpc). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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