ruvllm_microlora_adapt · Claude Flow MCP: Risk & Policy

WHAT IT DOES

What ruvllm_microlora_adapt does on Claude Flow

AI agents invoke ruvllm_microlora_adapt to trigger actions in Claude Flow. 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 IT NEEDS A POLICY

Why ruvllm_microlora_adapt needs a policy

This tool modifies machine learning model weights (MicroLoRA adaptation) based on feedback, which constitutes a stateful execution operation that alters model behavior. It triggers a training/fine-tuning process rather than simply reading or writing static data.

From the tool's definition Adapt MicroLoRA weights with quality feedback... MicroLoRA-fine-tuned per-task adapters... local inference

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ruvllm_microlora_adapt Rate-limited

ruvllm_microlora_adapt 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ruvllm_microlora_adapt": {
      "limits": [
        {
          "counter": "ruvllm_microlora_adapt_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Claude Flow, so you can run agents against it safely.

FAQ

Questions about ruvllm_microlora_adapt

What does the ruvllm_microlora_adapt tool do? +

Adapt MicroLoRA weights with quality feedback. Use when sending every prompt to the Anthropic API is wrong because you need local inference — air-gapped environments, MicroLoRA-fine-tuned per-task adapters, or sub-cent per-call cost. For general Claude work native Task is the right call. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ruvllm_microlora_adapt? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for ruvllm_microlora_adapt: 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 ruvllm_microlora_adapt? +

ruvllm_microlora_adapt is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ruvllm_microlora_adapt? +

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

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

ruvllm_microlora_adapt 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.