aidefence_learn

SERVERClaude Flow SOURCEclaude-flow

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What aidefence_learn does on Claude Flow

AI agents use aidefence_learn to create or update resources in Claude Flow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.

RISK

Why aidefence_learn is rated Medium

This tool writes/records feedback data to improve a detection model. It modifies stored learning state (pattern data, feedback records) in a reversible way — it does not delete data, execute code, or move money.

From the tool's definition 'Record detection feedback for pattern learning. Improves future detection accuracy.'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs aidefence_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 aidefence_learn, this is the rule to start with:

aidefence_learn Rate-limited

aidefence_learn stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "aidefence_learn": {
      "limits": [
        {
          "counter": "aidefence_learn_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about aidefence_learn

What does the aidefence_learn tool do? +

Record detection feedback for pattern learning. Improves future detection accuracy. Use when nothing native exists — Claude Code does not have a PII / prompt-injection / adversarial-text scanner. Pair with any tool that ingests untrusted input (browser scrape, federation envelope, memory_import_claude). It is categorised as a Write tool in the Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on aidefence_learn? +

Register the Claude Flow MCP server in PolicyLayer and add a rule for aidefence_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 aidefence_learn? +

aidefence_learn is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit aidefence_learn? +

Yes. Add a rate_limit block to the aidefence_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 aidefence_learn completely? +

Set action: deny in the PolicyLayer policy for aidefence_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 aidefence_learn? +

aidefence_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.

KEEP EXPLORING

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Govern customer-ops agents →Argument validation →Scoped token →