Get a specific skill by name.
AI agents call skill_get to retrieve information from HoloViz MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or queries a specific skill by name without modifying, deleting, or executing any operations. This is a straightforward data retrieval operation consistent with the Read category. Severity is low as reading skill data poses minimal risk even if accessed inappropriately.
From the tool's definition Tool name 'skill_get' and description 'Get a specific skill by name' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get a specific skill by name. It is categorised as a Read tool in the HoloViz MCP Server MCP Server, which means it retrieves data without modifying state.
Register the HoloViz MCP Server MCP server in PolicyLayer and add a rule for skill_get: 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 HoloViz MCP Server. Nothing to install.
skill_get 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 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. 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 is provided by the HoloViz MCP Server MCP server (sumayabee/holoviz-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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