pattern_store

Store learned pattern

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/pattern-store.md

WHAT IT DOES

What pattern_store does on Claude Flow

AI agents use pattern_store 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 pattern_store is rated Medium

Storing a learned pattern is a reversible write operation — it creates or updates a record in some pattern database or neural network store. There is no indication of deletion, code execution, or financial impact. Severity is medium because in an AI orchestration context, persisting incorrect or malicious patterns could influence downstream agent behavior at scale, but the action itself is a standard write.

From the tool's definition Tool name 'pattern_store' and description 'Store learned pattern' indicate a write/create operation persisting data to storage.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

pattern_store Rate-limited

pattern_store 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": {
    "pattern_store": {
      "limits": [
        {
          "counter": "pattern_store_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 pattern_store call is checked against it from then on.

FAQ

Questions about pattern_store

What does the pattern_store tool do? +

Store learned pattern. 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 pattern_store? +

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

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

Can I rate-limit pattern_store? +

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

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

pattern_store 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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