AI agents call load_superkit_skill to retrieve information from Superkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
category | string | Yes | The category of the skill (e.g., 'tech', 'meta', 'workflows'). |
skillName | string | Yes | The name of the skill directory (e.g., 'react-best-practices'). |
Parameters from the server's own tool schema.
This tool retrieves documentation files (SKILL.md or reference files) and returns their contents. It is a read-only operation that queries/fetches data with no side effects, no code execution, and no data modification. This clearly fits the 'Read' category as a data retrieval function.
From the tool's definition The tool description states it 'Loads the skill index (SKILL.md) or specific reference file for a skill.' The verb 'loads' in this context means retrieves or reads data from files without modification or execution of code.
Attacks that exploit this kind of access
Loads the skill index (SKILL.md) or specific reference file for a skill. It is categorised as a Read tool in the Superkit MCP Server, which means it retrieves data without modifying state.
load_superkit_skill accepts 2 parameters: category, skillName. Required: category, skillName. The full parameter table on this page comes from the server's own tool schema.
Register the Superkit MCP server in PolicyLayer and add a rule for load_superkit_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 Superkit. Nothing to install.
load_superkit_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 load_superkit_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 load_superkit_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.
load_superkit_skill is provided by the Superkit MCP server (superkit-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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