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CarbeneAI
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Private

Route prompts to local Ollama models on localhost:11434.

9|1|Updated Apr 16, 2026
Search Tags:#privacy#ollama#on-prem#model-routing#local-ai#private-mode#gemma4
One-click install
npx skills add https://github.com/CarbeneAI/Forge --skill private
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Private
Source: https://github.com/CarbeneAI/Forge/tree/main/.claude/skills/Private
Command: npx skills add https://github.com/CarbeneAI/Forge --skill private

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Route privacy-sensitive prompts to a local model so confidential data never leaves your machine or network, preventing accidental exposure to cloud APIs or third-party services.

Core Features & Use Cases

  • Local Ollama routing: Sends user prompts to Gemma4 31B or other Ollama-hosted models on localhost:11434.
  • Model and prompt control: Supports explicit model selection, custom system prompts, temperature tuning, and streaming or non-streaming responses.
  • Privacy-first use cases: Ideal for financial projections, medical report analysis, HR reviews, proprietary code review, and any HIPAA/PCI-sensitive interactions.

Quick Start

Invoke the Private skill by prefixing your message with /private followed by your prompt, for example: /private Analyze the attached financial projections for client XYZ.

Frequently Asked Questions about Private

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

FAQPage Schema
How do I route privacy-sensitive prompts to a local Ollama model?▼

Route privacy-sensitive prompts to a local Ollama model by invoking a private mode that sends requests to localhost:11434, ensuring confidential data never leaves your machine or network during processing.

Can I use Ollama with Gemma4 for analyzing financial or medical data locally?▼

Ollama supports Gemma4 31B for analyzing financial, medical, or HR data locally, preventing accidental exposure to cloud APIs while keeping proprietary interactions fully on-premises.

Do I need an Ollama server running to keep prompts local?▼

An Ollama server running at localhost:11434 is required to keep prompts local, serving as the execution endpoint for routing privacy-sensitive queries and returning verbatim responses.

How do I configure temperature and system prompts for local model routing?▼

Configure temperature and custom system prompts for local model routing by appending parameters during invocation, supporting both streaming and non-streaming responses from your selected Ollama model.

What are the limitations of using an on-prem model for proprietary code analysis?▼

On-prem model limitations for proprietary code analysis include reliance on the local hardware capacity of your Ollama server, as execution stays entirely on-premises to prevent cloud exposure.

What is the best way to execute HIPAA-sensitive interactions without cloud APIs?▼

Executing HIPAA-sensitive interactions without cloud APIs is best achieved by routing prompts to a local Ollama-hosted model, which processes data verbatim on your local network to guarantee privacy.

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