List all available browser skills. Returns: JSON list of skill summaries with name, description, and usage stats
AI agents call skill_list to retrieve information from Browser-Use MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool queries and returns metadata about available browser skills without modifying, executing, or deleting any data. It is a straightforward read operation analogous to 'list' or 'get'. No command execution, data modification, or destructive action occurs. Severity is low because exposing skill metadata poses minimal security risk—it is informational only.
From the tool's definition Tool name is 'skill_list' and description states it 'List all available browser skills' and 'Returns: JSON list of skill summaries with name, description, and usage stats'. This is a pure retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access skill_list gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Browser-Use MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for skill_list:
{
"version": "1",
"default": "deny",
"tools": {
"skill_list": {}
}
}skill_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all available browser skills. Returns: JSON list of skill summaries with name, description, and usage stats. It is categorised as a Read tool in the Browser-Use MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Browser-Use MCP Server MCP server in PolicyLayer and add a rule for skill_list: 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 Browser-Use MCP Server. Nothing to install.
skill_list 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_list 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_list. 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_list is provided by the Browser-Use MCP Server MCP server (saik0s/mcp-browser-use). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Browser-Use MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
9 Browser-Use MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.