AI agents call skill_get_detail to retrieve information from ClaudeSkills MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to retrieve detailed information about skills (likely returning metadata, guidance, or asset references). No write, execute, or destructive operations are implied. The 'get' and 'detail' keywords, combined with the server's stated read-focused purpose, classify this as a Read operation with low severity due to no side effects or data modification.
From the tool's definition Tool name 'skill_get_detail' and sibling tools ('skill_search_index', 'skill_list_all', 'skill_read_asset') indicate read-only operations. Server description states it exposes skills for 'discovery, search, and reading skill guidance and assets'.
Documented attack patterns abuse exactly the kind of access skill_get_detail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ClaudeSkills MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for skill_get_detail:
{
"version": "1",
"default": "deny",
"tools": {
"skill_get_detail": {}
}
}skill_get_detail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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skill_get_detail. It is categorised as a Read tool in the ClaudeSkills MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ClaudeSkills MCP Server MCP server in PolicyLayer and add a rule for skill_get_detail: 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 ClaudeSkills MCP Server. Nothing to install.
skill_get_detail is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the skill_get_detail 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.
Set action: deny in the PolicyLayer policy for skill_get_detail. 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.
skill_get_detail is provided by the ClaudeSkills MCP Server MCP server (tsoernes/skills-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ClaudeSkills MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 ClaudeSkills MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.