Low Risk

get_install_guide

Get step-by-step installation instructions for a skill on a specific platform. / 플랫폼별 스킬 설치 가이드. Args: skill_id: 스킬 ID platform: 플랫폼 이름 - 'OpenClaw' | 'ClaudeCode' | 'ClaudeCodeAgentSkill' | 'CustomAgent' | 'Cursor' | 'GeminiCLI' | 'CodexCLI' Returns: 단계별 설치 가이드 문자열

Part of the AI Skill Store server.

get_install_guide is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_install_guide to retrieve information from AI Skill Store without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_install_guide only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_install_guide": {}
  }
}

See the full AI Skill Store policy for all 18 tools.

Get this rule live on your own AI Skill Store server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_install_guide gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_install_guide only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_install_guide tool do? +

Get step-by-step installation instructions for a skill on a specific platform. / 플랫폼별 스킬 설치 가이드. Args: skill_id: 스킬 ID platform: 플랫폼 이름 - 'OpenClaw' | 'ClaudeCode' | 'ClaudeCodeAgentSkill' | 'CustomAgent' | 'Cursor' | 'GeminiCLI' | 'CodexCLI' Returns: 단계별 설치 가이드 문자열. It is categorised as a Read tool in the AI Skill Store MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_install_guide? +

Register the AI Skill Store MCP server in PolicyLayer and add a rule for get_install_guide: 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 AI Skill Store. Nothing to install.

What risk level is get_install_guide? +

get_install_guide is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_install_guide? +

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

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

get_install_guide is provided by the AI Skill Store MCP server (garasegae/aiskillstore). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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