Research, discover, compare, and evaluate AI models on OpenRouter — backed by the Model-Scout MCP server for live catalog data with caching. Subsumes the standalone open-router-model-research plugin and the Model-Scout-MCP server. Skills cover lookup, capability filtering (tools, vision, audio), recommendation, head-to-head comparison, deep evaluation, workload cost projection, and finding cheaper alternatives.
npx claudepluginhub danielrosehill/claude-code-plugins --plugin ai-model-researchUse when the user wants to compare two or more OpenRouter models head-to-head. Triggers on phrases like "compare <model-a> and <model-b> on OpenRouter", "head-to-head OR comparison", "which is better — <model-a> or <model-b>", "side-by-side OpenRouter models", "diff these OR models".
Use when the user wants to estimate the cost of running a workload on a specific OpenRouter model (or shortlist) — produces a cost table with monthly/annual extrapolation.
Use when the user wants a deep evaluation of a single OpenRouter model that goes beyond the OR catalog — model card, paper, benchmarks, license, known limitations. Triggers on phrases like "evaluate <model> for <task>", "deep dive on <OR model>", "research <model> beyond OpenRouter", "is <model> good for <use case>", "tell me everything about <OR model>", "model card for <model>".
Use when the user wants to find a cheaper or otherwise-similar alternative to a specific OpenRouter model — returns 3–5 ranked alternatives with trade-offs explicit.
Use when the user wants to find OpenRouter models that accept audio input. Triggers on phrases like "OpenRouter audio models", "models that accept audio on OR", "speech input models on OpenRouter", "OpenRouter models for transcription", "audio-capable LLMs on OpenRouter".
Use when the user wants to find OpenRouter models that support tool use / function calling. Triggers on phrases like "OpenRouter models with tool use", "which OR models support function calling", "find tool-calling models on OpenRouter", "MCP-compatible models on OpenRouter", "models for agentic workflows on OR".
Use when the user wants to find vision-capable / multimodal image-input models on OpenRouter. Triggers on phrases like "OpenRouter vision models", "image-capable models on OR", "models that accept images on OpenRouter", "multimodal models on OpenRouter", "OCR-capable OR models", "find a vision model on OpenRouter for <task>".
Use when the user wants to look up models in the OpenRouter catalog — fetch the full model list, look up a specific model by ID, or get raw catalog data for downstream filtering. Triggers on phrases like "look up an OpenRouter model", "get the OpenRouter catalog", "what does OpenRouter list for <model-id>", "fetch OR models". This is the foundation skill the other OR research skills build on.
Use when the user mentions an OpenRouter model ID mid-conversation and needs a quick capability/pricing snapshot — not a full evaluation.
Use when the user wants a recommendation for which OpenRouter model to use for a task — interactive, asks clarifying questions about budget, context, modalities, then proposes a ranked shortlist. Triggers on phrases like "recommend an OpenRouter model", "which OR model should I use for <task>", "help me pick a model on OpenRouter", "what's the best OR model for <task>", "suggest an OpenRouter model".
Use when the user wants open-ended exploration of OpenRouter models around a theme rather than a specific recommendation, comparison, or evaluation. Triggers on phrases like "explore OpenRouter models for <topic>", "what's available on OR for <area>", "show me what's new on OpenRouter", "survey of <model family> on OR", "research OpenRouter models for <use case>".
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Sign in to claimA Claude Code plugin for researching, filtering, comparing, and evaluating AI models on OpenRouter. Pulls live data from the OpenRouter catalog and enriches it with external research where appropriate.
This plugin subsumes two earlier projects:
open-router-model-research plugin (8 catalog-fetching skills).Model-Scout-MCP server, which is now bundled as the plugin's MCP backbone — providing in-process catalog caching and two consolidated tools (get_model, consider_models).| Server | Provides |
|---|---|
model-scout | get_model (direct ID lookup) and consider_models (filter / compare / recommend / cost / alternatives). Caches the OpenRouter catalog for ~10 minutes. |
| Skill | What it does |
|---|---|
or-lookup-models | Foundation skill — fetches the OpenRouter catalog or a single model's record. |
or-quick-lookup | Lightweight mid-conversation snapshot of a single model (capability + pricing) via the MCP. |
or-find-tool-models | Filters the catalog to models supporting tool use / function calling. |
or-find-vision-models | Filters to vision-capable (image-input) models. |
or-find-audio-models | Filters to models that accept audio input. |
or-recommend-model | Interactive recommendation — asks about budget, context, modalities, then proposes a ranked shortlist. |
or-compare-models | Builds a head-to-head side-by-side comparison of 2+ models. |
or-evaluate-model | Deep evaluation of a single model — combines catalog data with model card, paper, license, benchmarks. |
or-research-models | Open-ended exploration of the catalog around a theme, family, or use case. |
or-cost-projection | Estimate the cost of running a workload (requests × tokens) on one or more models. |
or-find-alternative | Find cheaper / similar alternatives to a reference model with explicit trade-off framing. |
The OpenRouter catalog is large and changes weekly. These skills:
claude plugins install ai-model-research@danielrosehill
No API key required — the OpenRouter catalog endpoint (/api/v1/models) is unauthenticated, and so are all the skills and MCP tools in this plugin. (You only need an OPENROUTER_API_KEY if you want to actually call a model through OpenRouter, which this plugin doesn't do — it's research-only.)
The skills fire automatically when relevant. Example prompts:
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