ruvector-attention
Execute attention mechanism (39 types: multi-head, flash, sparse, linear, etc.)
This record as markdown: /tools/io-github-ruvnet-claude-flow/ruvector-attention.md
What ruvector-attention does on Claude Flow
AI agents invoke ruvector-attention 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 ruvector-attention is rated High
The tool explicitly performs execution of attention mechanisms across 39 different computational types. While the output (transformed tensor representations) is reversible, the act of executing arbitrary attention operations on neural network inputs qualifies as Execute rather than Write, as the primary effect is computational rather than data persistence.
From the tool's definition Tool name contains 'Execute' verb and description states 'Execute attention mechanism' with computational operations on neural network components.
Attacks that exploit this kind of access
The rule that runs ruvector-attention 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 ruvector-attention, this is the rule to start with:
ruvector-attention 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 ruvector-attention call is checked against it from then on.
Questions about ruvector-attention
Execute attention mechanism (39 types: multi-head, flash, sparse, linear, etc.). 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 ruvector-attention: 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.
ruvector-attention 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 ruvector-attention 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 ruvector-attention. 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.
ruvector-attention 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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