AI agents call load_project_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 | Skill category: 'tech' or 'meta'. |
skillName | string | Yes | Skill directory name. |
projectPath | string | — | Absolute path to the project root. Defaults to process.cwd(). |
Parameters from the server's own tool schema.
This tool retrieves and reads documentation files (SKILL.md) from a defined project directory structure. There are no side effects, data modifications, destructive actions, code execution, or financial implications. The operation is purely informational, making it a standard Read category tool with low severity.
From the tool's definition Tool description states it 'Loads a project-scoped skill's SKILL.md' — a read-only file retrieval operation with no modification, deletion, or execution implied.
Attacks that exploit this kind of access
Loads a project-scoped skill's SKILL.md from {projectPath}/.agents/skills/{category}/{skillName}/SKILL.md. It is categorised as a Read tool in the Superkit MCP Server, which means it retrieves data without modifying state.
load_project_skill accepts 3 parameters: category, skillName, projectPath. 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_project_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_project_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_project_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_project_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_project_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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