Low Risk

download_skill

Download a skill package. Specify 'platform' to get an auto-converted package for that platform (ClaudeCode, Cursor, CodexCLI, GeminiCLI, etc.). / 스킬 패키지 다운로드 (플랫폼별 자동 변환). Args: skill_id: 다운로드할 스킬 ID platform: 플랫폼 (OpenClaw, ClaudeCode, ClaudeCodeAgentSkill, CustomAgent, Cursor, GeminiCLI, Codex...

Part of the AI Skill Store server.

download_skill 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 download_skill 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 download_skill 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": {
    "download_skill": {}
  }
}

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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 download_skill 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 download_skill 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 download_skill tool do? +

Download a skill package. Specify 'platform' to get an auto-converted package for that platform (ClaudeCode, Cursor, CodexCLI, GeminiCLI, etc.). / 스킬 패키지 다운로드 (플랫폼별 자동 변환). Args: skill_id: 다운로드할 스킬 ID platform: 플랫폼 (OpenClaw, ClaudeCode, ClaudeCodeAgentSkill, CustomAgent, Cursor, GeminiCLI, CodexCLI). 비워두면 원본(.skill) 다운로드. save_dir: 저장 디렉터리 경로 (비워두면 임시 디렉터리에 저장) Returns: 저장된 파일 경로 또는 오류 메시지. 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 download_skill? +

Register the AI Skill Store MCP server in PolicyLayer and add a rule for download_skill: 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 download_skill? +

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

Can I rate-limit download_skill? +

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

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

download_skill 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.

Enforce policy on every AI Skill Store tool call.

Deterministic rules across all 18 AI Skill Store tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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