Return a routed context block for Claude/Codex from top-K SkillMesh cards.
AI agents call route_with_skillmesh to retrieve information from SkillMesh without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and filters tool metadata from a catalog to return a context block for LLM prompting. It performs information retrieval and selection without creating, modifying, executing, or destroying data. The 'routed context block' is derived read-only output based on relevance scoring, analogous to a search or filter operation.
From the tool's definition Tool name and description both indicate retrieval and routing: 'Return a routed context block' and 'selects top-K relevant expert cards' are query/retrieval operations with no modification or execution of external systems.
Documented attack patterns abuse exactly the kind of access route_with_skillmesh gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SkillMesh, and nothing reaches the server without passing your rules. This is the rule we recommend for route_with_skillmesh:
{
"version": "1",
"default": "deny",
"tools": {
"route_with_skillmesh": {}
}
}route_with_skillmesh 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.
Return a routed context block for Claude/Codex from top-K SkillMesh cards. It is categorised as a Read tool in the SkillMesh MCP Server, which means it retrieves data without modifying state.
Register the SkillMesh MCP server in PolicyLayer and add a rule for route_with_skillmesh: 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 SkillMesh. Nothing to install.
route_with_skillmesh 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 route_with_skillmesh 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 route_with_skillmesh. 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.
route_with_skillmesh is provided by the SkillMesh MCP server (varunreddy/skillmesh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SkillMesh, 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.
5 SkillMesh tools catalogued and risk-classified — across an index of 43,000+ MCP servers.