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model-researcher

Configure new or custom AI models in opencode.json with exact identifiers and limits.

7|2|Updated Jan 18, 2026
Search Tags:#verification#ai-models#self-hosted#provider-configuration#model-id#custom-provider
One-click install
npx skills add https://github.com/jal-co/jalco-opencode --skill model-researcher-jal-co
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: model-researcher
Source: https://github.com/jal-co/jalco-opencode/tree/main/opencode/.config/opencode/skills/model-researcher
Command: npx skills add https://github.com/jal-co/jalco-opencode --skill model-researcher-jal-co

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Add new or custom AI models to opencode.json, ensuring verified specifications and smooth onboarding for bleeding-edge providers, self-hosted endpoints, and non-standard configurations.

Core Features & Use Cases

  • Add new or custom AI models with verified provider entries (model ID, base URL, and limits).
  • Support non-standard providers, self-hosted endpoints, and custom proxies for enterprise needs.
  • Real-world scenario: configure Claude 4.5 or Ollama-based deployments with exact model identifiers and capacity constraints.

Quick Start

Add a new model to opencode.json by providing the exact model identifier, provider details, and token limits.

Frequently Asked Questions about model-researcher

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

FAQPage Schema
How do I add a custom AI model to opencode.json?▼

To add a custom AI model to opencode.json, provide the exact model identifier, provider details, base URL, and token limits to ensure verified specifications and smooth onboarding.

Can I configure self-hosted AI models and custom endpoints in OpenCode?▼

Yes, configuring self-hosted AI models and custom endpoints in OpenCode is supported by defining provider mappings, base URLs, and context/output limits within the opencode.json file.

What is the best way to set up non-standard AI providers in OpenCode?▼

The best way to set up non-standard AI providers in OpenCode is to enforce exact model identifiers, provider mapping, and context/output limits through validation steps described in the workflow.

Does OpenCode support configuring Ollama-based deployments with custom limits?▼

Yes, OpenCode supports configuring Ollama-based deployments by enforcing exact model identifiers and defining specific context and output capacity constraints in your configuration.

Why do my custom AI model configurations fail validation in OpenCode?▼

Custom AI model configurations fail validation in OpenCode when exact model identifiers, provider mappings, or context and output limits are missing or incorrectly specified in opencode.json.

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