hooks_intelligence_trajectory-step

Record step in trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\

SERVERClaude Flow SOURCEclaude-flow

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ruvnet-claude-flow/hooks-intelligence-trajectory-step.md

WHAT IT DOES

What hooks_intelligence_trajectory-step does on Claude Flow

AI agents call hooks_intelligence_trajectory-step to retrieve information from Claude Flow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why hooks_intelligence_trajectory-step is rated Low

Even though hooks_intelligence_trajectory-step only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hooks_intelligence_trajectory-step 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_trajectory-step, this is the rule to start with:

hooks_intelligence_trajectory-step Allowed

hooks_intelligence_trajectory-step is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "hooks_intelligence_trajectory-step": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about hooks_intelligence_trajectory-step

What does the hooks_intelligence_trajectory-step tool do? +

Record step in trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on hooks_intelligence_trajectory-step? +

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

hooks_intelligence_trajectory-step is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit hooks_intelligence_trajectory-step? +

Yes. Add a rate_limit block to the hooks_intelligence_trajectory-step 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 hooks_intelligence_trajectory-step completely? +

Set action: deny in the PolicyLayer policy for hooks_intelligence_trajectory-step. 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 hooks_intelligence_trajectory-step? +

hooks_intelligence_trajectory-step 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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