Low Risk

svc_get_conflicts

Get merge conflicts for a skill

How to control svc_get_conflicts ↓

What svc_get_conflicts does on Skill Vision Control (SVC)

AI agents call svc_get_conflicts 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_conflicts needs a policy

This tool retrieves and displays merge conflict information, which is a read-only operation with no side effects. It does not modify, delete, or execute actions on skills or their data. The verb 'Get' in both name and description confirms it is a query/retrieval function. Even in the context of a version management system, obtaining conflict information is informational only.

From the tool's definition Tool name 'svc_get_conflicts' and description 'Get merge conflicts for a skill' indicate a retrieval operation that queries conflict state without modifying data.

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

How to control svc_get_conflicts

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_conflicts:

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

svc_get_conflicts 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_conflicts

What does the svc_get_conflicts tool do? +

Get merge conflicts for a 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_conflicts? +

Register the Skill Vision Control (SVC) MCP server in PolicyLayer and add a rule for svc_get_conflicts: 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_conflicts? +

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

Can I rate-limit svc_get_conflicts? +

Yes. Add a rate_limit block to the svc_get_conflicts 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_conflicts completely? +

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

svc_get_conflicts 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.

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

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