scaffold_agent

Create a ProAgentStore agent and scaffold its GitHub repo from a starter template. Requires PAGS token plus GITHUB_TOKEN configured on the MCP worker.

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/scaffold-agent.md

WHAT IT DOES

What scaffold_agent does on ProAgentStore

AI agents use scaffold_agent to create or update resources in ProAgentStore, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ProAgentStore environment.

RISK

Why scaffold_agent is rated Medium

This tool creates a new agent and initializes a GitHub repository from a template. These are creation/write operations that are reversible (the agent and repo can be deleted). However, the blast radius is high because it provisions external resources (GitHub repos, agent registrations) and may trigger downstream workflows or consume quota.

From the tool's definition "Create a ProAgentStore agent and scaffold its GitHub repo from a starter template"

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scaffold_agent safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scaffold_agent, this is the rule to start with:

scaffold_agent Rate-limited

scaffold_agent stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scaffold_agent": {
      "limits": [
        {
          "counter": "scaffold_agent_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about scaffold_agent

What does the scaffold_agent tool do? +

Create a ProAgentStore agent and scaffold its GitHub repo from a starter template. Requires PAGS token plus GITHUB_TOKEN configured on the MCP worker. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on scaffold_agent? +

Register the ProAgentStore MCP server in PolicyLayer and add a rule for scaffold_agent: 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 ProAgentStore. Nothing to install.

What risk level is scaffold_agent? +

scaffold_agent is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit scaffold_agent? +

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

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

scaffold_agent is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). 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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scaffold_project_files on Stitch MCP Server → The MCP Attack Database →

Guides

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