AI agents call get_skill_detail to retrieve information from Skill Hub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query operation to fetch and display skill metadata and documentation. It has no side effects on data or systems—it merely retrieves existing information for inspection. The optional retrieval of SKILL.md content remains a read operation. Confidence is high because the description clearly indicates information retrieval with no mutation or execution semantics.
From the tool's definition Tool retrieves detailed information about a skill: 'Get detailed information about a specific skill including evaluation, pros/cons, and optionally the full SKILL.md content.' No modification, deletion, or execution capability is described.
Attacks that exploit this kind of access
Get detailed information about a specific skill including evaluation, pros/cons, and optionally the full SKILL.md content. It is categorised as a Read tool in the Skill Hub MCP Server, which means it retrieves data without modifying state.
Register the Skill Hub MCP server in PolicyLayer and add a rule for get_skill_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 Skill Hub. Nothing to install.
get_skill_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 get_skill_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 get_skill_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.
get_skill_detail is provided by the Skill Hub MCP server (skillhub-club/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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