Get detailed information about a skill, including the complete SKILL.md content.\n\nUse cases:\n- When you want to learn detailed information about a skill\n- When you need to view the core documentation (SKILL.md) of a skill\n- Before recommending or installing a skill, you need to confirm the d...
AI agents call get_skill to retrieve information from skill4agent MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays skill documentation and metadata. It has no side effects, does not modify any data, does not execute code, and does not trigger external operations. It is purely informational—a query operation retrieving existing skill details from the skill4agent system.
From the tool's definition Tool description explicitly states it 'Get detailed information about a skill' and 'view the core documentation'. The use cases describe learning information and confirming details—all read-only operations with no modification, deletion, or execution of code.
Attacks that exploit this kind of access
Get detailed information about a skill, including the complete SKILL.md content.\n\nUse cases:\n- When you want to learn detailed information about a skill\n- When you need to view the core documentation (SKILL.md) of a skill\n- Before recommending or installing a skill, you need to confirm the detailed information to analyze whether it meets the requirements. It is categorised as a Read tool in the skill4agent MCP Server MCP Server, which means it retrieves data without modifying state.
Register the skill4agent MCP Server MCP server in PolicyLayer and add a rule for get_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 skill4agent MCP Server. Nothing to install.
get_skill 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 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. 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 is provided by the skill4agent MCP Server MCP server (osulivan/skill4agent-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.
Teams ship this data inside their own products. See what a licence covers →