Medium Risk

install_pack

Install all skills from a curated Agent Pack in a single call. Returns a formatted text response listing each skill in the pack with its name, type, slug, and platform-specific install config. Packs are pre-built collections for specific workflows (e.g., 'research-agent' has browser, search, and ...

Single-target operation

Part of the Loaditout MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

loaditout-mcp-server Write Risk 2/5

AI agents use install_pack to create or modify resources in Loaditout. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call install_pack repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Loaditout.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

loaditout.yaml
tools:
  install_pack:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Loaditout policy for all 21 tools.

Tool Name install_pack
Category Write
Risk Level Medium

View all 21 tools →

Agents calling write-class tools like install_pack have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the install_pack tool do? +

Install all skills from a curated Agent Pack in a single call. Returns a formatted text response listing each skill in the pack with its name, type, slug, and platform-specific install config. Packs are pre-built collections for specific workflows (e.g., 'research-agent' has browser, search, and memory tools). Use this instead of installing skills individually when setting up for a specific role. Do not use this if you only need one specific skill (use install_skill instead).. It is categorised as a Write tool in the Loaditout MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on install_pack? +

Add a rule in your Intercept YAML policy under the tools section for install_pack. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Loaditout MCP server.

What risk level is install_pack? +

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

Can I rate-limit install_pack? +

Yes. Add a rate_limit block to the install_pack rule in your Intercept 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 install_pack completely? +

Set action: deny in the Intercept policy for install_pack. 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 install_pack? +

install_pack is provided by the Loaditout MCP server (loaditout-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Loaditout

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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