hooks_intelligence_attention
Compute attention-weighted similarity using MoE/Flash/Hyperbolic Use when native Bash hooks (via Claude Code\
This record as markdown: /tools/io-github-ruvnet-claude-flow/hooks-intelligence-attention.md
What hooks_intelligence_attention does on Claude Flow
AI agents invoke hooks_intelligence_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 hooks_intelligence_attention is rated High
The tool performs computation using attention mechanisms (MoE, Flash Attention, Hyperbolic) and references native Bash hooks, indicating it executes neural network computations and potentially triggers system-level hook operations. The Bash hooks reference suggests execution of external operations.
From the tool's definition 'Compute attention-weighted similarity using MoE/Flash/Hyperbolic' and 'native Bash hooks (via Claude Code'
Attacks that exploit this kind of access
The rule that runs hooks_intelligence_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 hooks_intelligence_attention, this is the rule to start with:
hooks_intelligence_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 hooks_intelligence_attention call is checked against it from then on.
Questions about hooks_intelligence_attention
Compute attention-weighted similarity using MoE/Flash/Hyperbolic Use when native Bash hooks (via Claude Code\. 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 hooks_intelligence_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.
hooks_intelligence_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 hooks_intelligence_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 hooks_intelligence_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.
hooks_intelligence_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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