Pre-install gate check. Returns allow/warn/deny decision for a skill URL.
AI agents call gate_check to retrieve information from SkillAudit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | string | — | URL of the skill to check |
threshold | string | — | Risk threshold (default: moderate). Deny if risk >= threshold. |
Parameters from the server's own tool schema.
gate_check performs a security assessment query on a provided URL and returns a decision state. This is purely informational (Read category). The severity is low because misuse would only result in incorrect allow/deny recommendations; it cannot execute code, delete data, or cause financial harm. The tool is a gating mechanism, not an executor or modifier.
From the tool's definition Tool returns 'allow/warn/deny decision' for a skill URL—a query operation with no side effects. It reads/analyzes a URL and returns a classification decision without modifying, executing, or destroying anything.
Risk signalsAccepts URL/endpoint input (url)
Documented attack patterns abuse exactly the kind of access gate_check gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SkillAudit, and nothing reaches the server without passing your rules. This is the rule we recommend for gate_check:
{
"version": "1",
"default": "deny",
"tools": {
"gate_check": {}
}
}gate_check is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Pre-install gate check. Returns allow/warn/deny decision for a skill URL. It is categorised as a Read tool in the SkillAudit MCP Server, which means it retrieves data without modifying state.
gate_check accepts 2 parameters: url, threshold. The full parameter table on this page comes from the server's own tool schema.
Register the SkillAudit MCP server in PolicyLayer and add a rule for gate_check: 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 SkillAudit. Nothing to install.
gate_check 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 gate_check 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 gate_check. 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.
gate_check is provided by the SkillAudit MCP server (megamind-0x/skillaudit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SkillAudit, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 SkillAudit tools catalogued and risk-classified — across an index of 43,000+ MCP servers.