local-model-mcp

Route review tasks through run_helper with local-model MCP presets.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/bja2142/vibes --skill local-model-mcp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: local-model-mcp
Source: https://github.com/bja2142/vibes/tree/main/model-mcp/skills/local-model-mcp
Command: npx skills add https://github.com/bja2142/vibes --skill local-model-mcp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Local Model MCP provides a centralized way to obtain second opinions, reuse reusable presets, and perform cross-model comparisons with a local MCP server. It also supports session management, export, and handoffs across models to improve review quality and continuity.

Core Features & Use Cases

  • Second opinion from a single local model
  • Reusable presets such as security review or adversarial critique
  • Cross-model comparison or synthesis
  • Moving a stored session from one provider to another
  • Inspecting, labeling, exporting, or deleting stored sessions

Quick Start

Invoke the local-model-mcp via run_helper with a preset or raw provider to start a review.

Frequently Asked Questions about local-model-mcp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get a second opinion from a local model during code review?▼

To get a second opinion, route your task through the run_helper command with a raw provider or preset. This local-model workflow applies cross-model comparisons and preset-driven reviews to generate alternative feedback.

What are reusable presets for local model reviews?▼

Reusable presets are predefined review configurations like security review or adversarial critique. You apply them through the run_helper command to consistently execute specialized review tasks across different local models.

How do I manage and hand off sessions between different local models?▼

You manage and hand off sessions by using session management commands within run_helper to inspect, label, export, or move stored sessions. This allows moving a stored session from one provider to another for cross-model synthesis.

Can I compare outputs across multiple local models for the same prompt?▼

Yes, you can perform cross-model comparison by routing tasks through run_helper. The workflow supports calling different providers and synthesizing their outputs to compare responses directly within your local-model environment.

Do I need a local MCP server to run cross-model comparisons and presets?▼

Yes, a local MCP server is required. The skill coordinates preset-driven reviews and session handoffs by routing tasks through the local-model MCP, relying on the server to manage provider calls and stored sessions.