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stop_goshs

Terminates a background goshs server process using its PID.

How to control stop_goshs ↓

What stop_goshs does on Pentester-MCP

AI agents invoke stop_goshs to trigger actions in Pentester-MCP. 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.

High Risk

Why stop_goshs needs a policy

Stopping a process is an Execute action because it triggers an external operation (process termination) whose effects are immediate and system-level. While the action itself is not destructive to data, it disrupts service availability and could impact dependent systems.

From the tool's definition Tool explicitly terminates a background process via PID, which is a system-level execution operation that kills a running service. The description states it 'Terminates a background goshs server process using its PID.'

Documented attack patterns abuse exactly the kind of access stop_goshs gives an agent:

How to control stop_goshs

PolicyLayer is an MCP gateway — it sits between your AI agents and Pentester-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_goshs:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stop_goshs": {
      "limits": [
        {
          "counter": "stop_goshs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stop_goshs 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.

  1. Create a free account and register Pentester-MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about stop_goshs

What does the stop_goshs tool do? +

Terminates a background goshs server process using its PID. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on stop_goshs? +

Register the Pentester- MCP server in PolicyLayer and add a rule for stop_goshs: 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 Pentester-MCP. Nothing to install.

What risk level is stop_goshs? +

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

Can I rate-limit stop_goshs? +

Yes. Add a rate_limit block to the stop_goshs 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 stop_goshs completely? +

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

stop_goshs is provided by the Pentester- MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pentester-MCP tool call.

Start from Pentester-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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337 Pentester-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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