neural_status

SERVERRuflo SOURCEruvnet/ruflo

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/ruflo/neural-status.md

WHAT IT DOES

What neural_status does on Ruflo

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

RISK

Why neural_status is rated Low

This is a query/status retrieval operation that reads the state of a neural system. It gathers information about training patterns (SONA/MoE/EWC) and system status to inform decision-making about agent spawning, but does not execute commands, modify state, delete data, or move financial resources. The phrase 'query via neural_predict' reinforces its role as a read operation for system intelligence gathering.

From the tool's definition Tool name 'neural_status' combined with description 'Get neural system status' and 'query via neural_predict' indicates this retrieves status information about the neural system without modifying it.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs neural_status safely

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

neural_status Allowed

neural_status 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": {
    "neural_status": {}
  }
}

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

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

FAQ

Questions about neural_status

What does the neural_status tool do? +

Get neural system status Use when nothing native trains on your workflow — Claude Code has no learning loop. Use to train SONA/MoE/EWC patterns from successful task outcomes; query via neural_predict before spawning agents. Off-path for one-shot work. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on neural_status? +

Register the Ruflo MCP server in PolicyLayer and add a rule for neural_status: 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 Ruflo. Nothing to install.

What risk level is neural_status? +

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

Can I rate-limit neural_status? +

Yes. Add a rate_limit block to the neural_status 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 neural_status completely? +

Set action: deny in the PolicyLayer policy for neural_status. 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 neural_status? +

neural_status is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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