Low Risk

svc_get_skill_info

Get detailed information about a specific skill

How to control svc_get_skill_info ↓

What svc_get_skill_info does on Skill Vision Control (SVC)

AI agents call svc_get_skill_info to retrieve information from Skill Vision Control (SVC) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why svc_get_skill_info needs a policy

This tool queries and returns information about a skill without modifying, executing, or deleting any data. It is a straightforward read operation consistent with information retrieval tools like 'get' or 'fetch'. The context of a version management server confirms this is informational in nature—no updates, rollbacks, merges, or switching occur.

From the tool's definition Tool name 'svc_get_skill_info' and description 'Get detailed information about a specific skill' indicate a retrieval operation with no side effects.

Documented attack patterns abuse exactly the kind of access svc_get_skill_info gives an agent:

How to control svc_get_skill_info

PolicyLayer is an MCP gateway — it sits between your AI agents and Skill Vision Control (SVC), and nothing reaches the server without passing your rules. This is the rule we recommend for svc_get_skill_info:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "svc_get_skill_info": {}
  }
}

svc_get_skill_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Skill Vision Control (SVC) — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about svc_get_skill_info

What does the svc_get_skill_info tool do? +

Get detailed information about a specific skill. It is categorised as a Read tool in the Skill Vision Control (SVC) MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on svc_get_skill_info? +

Register the Skill Vision Control (SVC) MCP server in PolicyLayer and add a rule for svc_get_skill_info: 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 Skill Vision Control (SVC). Nothing to install.

What risk level is svc_get_skill_info? +

svc_get_skill_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit svc_get_skill_info? +

Yes. Add a rate_limit block to the svc_get_skill_info 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 svc_get_skill_info completely? +

Set action: deny in the PolicyLayer policy for svc_get_skill_info. 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 svc_get_skill_info? +

svc_get_skill_info is provided by the Skill Vision Control (SVC) MCP server (jane-xiaoer/skill-vision-control). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Skill Vision Control (SVC) tool call.

Start from Skill Vision Control (SVC), 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.

9 Skill Vision Control (SVC) tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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