hooks_pretrain

Analyze repository to bootstrap intelligence (4-step pipeline) Use when native Bash hooks (via Claude Code\

SERVERRuflo SOURCEruvnet/ruflo

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/hooks-pretrain.md

WHAT IT DOES

What hooks_pretrain does on Ruflo

AI agents invoke hooks_pretrain 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.

RISK

Why hooks_pretrain is rated High

This tool runs a multi-step pipeline that analyzes a repository and executes hooks via Claude Code/Bash integration. It triggers external operations and code execution to 'bootstrap intelligence', which constitutes an Execute-category action. The blast radius is high because it runs automated pipelines with native Bash hooks that could have wide-ranging effects on agent behavior, repositories, and system state.

From the tool's definition Analyze repository to bootstrap intelligence (4-step pipeline)... native Bash hooks (via Claude Code)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs hooks_pretrain 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_pretrain, this is the rule to start with:

hooks_pretrain Rate-limited

hooks_pretrain 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "hooks_pretrain": {
      "limits": [
        {
          "counter": "hooks_pretrain_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every hooks_pretrain call is checked against it from then on.

FAQ

Questions about hooks_pretrain

What does the hooks_pretrain tool do? +

Analyze repository to bootstrap intelligence (4-step pipeline) 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.

How do I enforce a policy on hooks_pretrain? +

Register the Ruflo MCP server in PolicyLayer and add a rule for hooks_pretrain: 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.

What risk level is hooks_pretrain? +

hooks_pretrain is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit hooks_pretrain? +

Yes. Add a rate_limit block to the hooks_pretrain 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_pretrain completely? +

Set action: deny in the PolicyLayer policy for hooks_pretrain. 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_pretrain? +

hooks_pretrain 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.

KEEP EXPLORING

More on Ruflo, and thousands of servers like it.

This server

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Across the catalogue

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Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →