AI agents invoke vibekit_submit_task to trigger actions in Vibekit. 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 triggers execution of AI-generated code, commits to a GitHub repository, and can initiate deployments. It spans Write (commits) and Execute (runs coding tasks and deployments). The most severe applicable category is Execute, given it runs external operations with broad side effects including code commits and deployments. Misuse could push malicious code to repositories or trigger harmful deployments.
From the tool's definition Submit an async coding task to VibeKit. The AI will write code, commit to GitHub, and optionally deploy.
Attacks that exploit this kind of access
Submit an async coding task to VibeKit. The AI will write code, commit to GitHub, and optionally deploy. Returns a task ID to poll for results. It is categorised as a Execute tool in the Vibekit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vibekit MCP server in PolicyLayer and add a rule for vibekit_submit_task: 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 Vibekit. Nothing to install.
vibekit_submit_task 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 vibekit_submit_task 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 vibekit_submit_task. 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.
vibekit_submit_task is provided by the Vibekit MCP server (vibekit-apps/vibekit-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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