hooks_intelligence_trajectory-start
Begin SONA trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\
This record as markdown: /tools/ruflo/hooks-intelligence-trajectory-start.md
What hooks_intelligence_trajectory-start does on Ruflo
AI agents invoke hooks_intelligence_trajectory-start to trigger actions in Ruflo. 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_trajectory-start is rated High
This tool initiates a reinforcement learning trajectory with Bash hook integration, which constitutes executing external operations whose side effects depend on arguments. While not immediately destructive, the capability to trigger autonomous learning processes and Bash-level operations across a multi-agent swarm system presents significant risk if parameters are misused.
From the tool's definition Tool name contains 'start' and description indicates 'Begin SONA trajectory for reinforcement learning' with reference to 'native Bash hooks (via Claude Code', indicating execution of external operations or scripts whose effects depend on the trajectory…
Attacks that exploit this kind of access
The rule that runs hooks_intelligence_trajectory-start safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hooks_intelligence_trajectory-start, this is the rule to start with:
hooks_intelligence_trajectory-start 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 Ruflo, apply this rule, and every hooks_intelligence_trajectory-start call is checked against it from then on.
Questions about hooks_intelligence_trajectory-start
Begin SONA trajectory for reinforcement learning Use when native Bash hooks (via Claude Code\. It is categorised as a Execute tool in the Ruflo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ruflo MCP server in PolicyLayer and add a rule for hooks_intelligence_trajectory-start: 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 Ruflo. Nothing to install.
hooks_intelligence_trajectory-start 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_trajectory-start 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_trajectory-start. 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_trajectory-start is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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