Export an estimator or pipeline as executable Python code
AI agents call export_code to retrieve information from Sktime without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool generates/exports code as output rather than executing it, modifying data, or causing side effects. It reads the current estimator/pipeline configuration and produces a Python code representation. The output is text/code that the user would then choose to run separately. Severity is low since misuse would at worst produce incorrect code, not directly cause harm.
From the tool's definition Export an estimator or pipeline as executable Python code
Documented attack patterns abuse exactly the kind of access export_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sktime, and nothing reaches the server without passing your rules. This is the rule we recommend for export_code:
{
"version": "1",
"default": "deny",
"tools": {
"export_code": {}
}
} export_code is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Export an estimator or pipeline as executable Python code. It is categorised as a Read tool in the Sktime MCP Server, which means it retrieves data without modifying state.
Register the Sktime MCP server in PolicyLayer and add a rule for export_code: 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 Sktime. Nothing to install.
export_code is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the export_code 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 export_code. 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.
export_code is provided by the Sktime MCP server (sktime/sktime-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sktime, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Sktime tools catalogued and risk-classified — across an index of 43,000+ MCP servers.