skillsmp_auto_discover · Skillsmp MCP: Risk & Policy

WHAT IT DOES

What skillsmp_auto_discover does on Skillsmp

AI agents invoke skillsmp_auto_discover to trigger actions in Skillsmp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why skillsmp_auto_discover needs a policy

This tool goes beyond passive reading: it analyzes conversation context and can automatically load skills without explicit user action for each one. The 'optionally auto-loads high-confidence matches' behavior constitutes an Execute-level action, as it triggers external operations (skill loading) whose effects depend on the analyzed arguments and confidence thresholds.

From the tool's definition 'Analyzes context, searches for relevant skills, and optionally auto-loads high-confidence matches' — the auto-load behavior triggers external operations (loading/installing skills) based on automated decision-making

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

skillsmp_auto_discover Rate-limited

skillsmp_auto_discover stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "skillsmp_auto_discover": {
      "limits": [
        {
          "counter": "skillsmp_auto_discover_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Skillsmp, so you can run agents against it safely.

FAQ

Questions about skillsmp_auto_discover

What does the skillsmp_auto_discover tool do? +

Automatically discover and recommend skills based on conversation analysis. Analyzes context, searches for relevant skills, and optionally auto-loads high-confidence matches. It is categorised as a Execute tool in the Skillsmp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on skillsmp_auto_discover? +

Register the Skillsmp MCP server in PolicyLayer and add a rule for skillsmp_auto_discover: 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 Skillsmp. Nothing to install.

What risk level is skillsmp_auto_discover? +

skillsmp_auto_discover is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit skillsmp_auto_discover? +

Yes. Add a rate_limit block to the skillsmp_auto_discover 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.

How do I block skillsmp_auto_discover completely? +

Set action: deny in the PolicyLayer policy for skillsmp_auto_discover. 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.

What MCP server provides skillsmp_auto_discover? +

skillsmp_auto_discover is provided by the Skillsmp MCP server (@luckybalabalaya/skillsmp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.