hive-mind_init
Initialize the hive-mind collective Use when native Task is wrong because you need queen-led collective intelligence — Byzantine-FT consensus, broadcast across many worker agents, shared memory with bounded conflict. For a single subagent, native Task is fine. Pair with swarm_init first to set to...
This record as markdown: /tools/io-github-ruvnet-claude-flow/hive-mind-init.md
What hive-mind_init does on Claude Flow
AI agents invoke hive-mind_init 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 hive-mind_init is rated High
This tool initializes and orchestrates a complex multi-agent system with consensus mechanisms and shared memory. It triggers significant external operations — spawning or coordinating many worker agents, establishing a communication topology, and setting up shared state.
From the tool's definition "Initialize the hive-mind collective", "queen-led collective intelligence", "Byzantine-FT consensus", "broadcast across many worker agents", "shared memory with bounded conflict"
Attacks that exploit this kind of access
The rule that runs hive-mind_init 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 hive-mind_init, this is the rule to start with:
hive-mind_init 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude Flow, apply this rule, and every hive-mind_init call is checked against it from then on.
Questions about hive-mind_init
Initialize the hive-mind collective Use when native Task is wrong because you need queen-led collective intelligence — Byzantine-FT consensus, broadcast across many worker agents, shared memory with bounded conflict. For a single subagent, native Task is fine. Pair with swarm_init first to set topology. 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.
Register the Claude Flow MCP server in PolicyLayer and add a rule for hive-mind_init: 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.
hive-mind_init is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the hive-mind_init 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.
Set action: deny in the PolicyLayer policy for hive-mind_init. 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.
hive-mind_init 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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