OllamaResearcher
CommunityPrivate local AI research for sensitive data
AuthorCarbeneAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provides a private, offline research path for queries that must not leave a user's local network, enabling analysis of sensitive financial, medical, or personal data without exposing it to cloud services.
Core Features & Use Cases
- Local privacy-first inference: Routes sensitive prompts to a self-hosted Ollama server to ensure data never leaves the local network.
- Offline research & analysis: Supports models hosted on your machine for scenarios with limited or no internet access.
- Streaming and model options: Uses streaming responses, supports gemma4 and dolphin3 models, and offers troubleshooting and retries for reliable operation.
- Use case examples: Analyze private investment portfolios, interpret medical test results, or run offline technical research while keeping data on-premises.
Quick Start
Use OllamaResearcher to analyze my sensitive financial data locally using the Ollama server without sending any data to external cloud APIs.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: OllamaResearcher Download link: https://github.com/CarbeneAI/Forge/archive/main.zip#ollamaresearcher Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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