autopilot_learn

SERVERClaude Flow SOURCEclaude-flow

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/autopilot-learn.md

WHAT IT DOES

What autopilot_learn does on Claude Flow

AI agents call autopilot_learn to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why autopilot_learn is rated Low

The tool's primary described action is discovering/reading patterns from historical data, which is a Read operation. However, the broader context (autonomous loop scheduling, cron-based advancement, pairing with autopilot_enable) suggests it may trigger or configure ongoing automated execution. The description is ambiguous about whether it purely reads patterns or also writes/configures autopilot state.

From the tool's definition Discover success patterns from past task completions

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs autopilot_learn safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude Flow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autopilot_learn, this is the rule to start with:

autopilot_learn Allowed

autopilot_learn is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "autopilot_learn": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every autopilot_learn call is checked against it from then on.

FAQ

Questions about autopilot_learn

What does the autopilot_learn tool do? +

Discover success patterns from past task completions. Requires AgentDB for full functionality. Use when running long-horizon goals that should resume automatically across sessions — Claude Code has no native autonomous-loop scheduler. Pair with autopilot_enable + a goal description, then let cron fires advance the work. For interactive single-task sessions, native Task is fine. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on autopilot_learn? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for autopilot_learn: 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 Claude Flow. Nothing to install.

What risk level is autopilot_learn? +

autopilot_learn is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit autopilot_learn? +

Yes. Add a rate_limit block to the autopilot_learn 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.

How do I block autopilot_learn completely? +

Set action: deny in the PolicyLayer policy for autopilot_learn. 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.

What MCP server provides autopilot_learn? +

autopilot_learn is provided by the Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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