AI Model Research
Research, discover, compare, and evaluate AI models on OpenRouter — backed by the bundled Model-Scout MCP server for live catalog data with caching. Subsumes the standalone…
Plugin bundle · by danielrosehill
About
AI Model Research is a plugin bundle for AI coding tools published by danielrosehill. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-15 and have recorded no change since. As of our marketplace pass on 2026-10-20.
Research, discover, compare, and evaluate AI models on OpenRouter — backed by the bundled Model-Scout MCP server for live catalog data with caching. Subsumes the standalone open-router-model-research plugin and the Model-Scout-MCP server. 11 skills cover lookup, capability filtering (tools, vision, audio), recommendation, head-to-head comparison, deep evaluation, workload cost projection, and finding cheaper alternatives.
What it asks for
- Runs on your machine
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add danielrosehill/claude-code-plugins
/plugin install ai-model-research@danielrosehill
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace danielrosehill/claude-code-plugins (Open the source on GitHub) | Listed | 1.0.0 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| danielrosehill | danielrosehill/claude-code-plugins | 31 |
What the bundle contains
As published on Community GitHub marketplaces.
MCP servers: 1
model-scout
Skills: 11
or-compare-modelsor-cost-projectionor-evaluate-modelor-find-alternativeor-find-audio-modelsor-find-tool-modelsor-find-vision-modelsor-lookup-modelsor-quick-lookupor-recommend-modelor-research-models
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
llm-advisor io.github.Daichi-Kudo/llm-advisor
Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
-
AI API cost calculator, recommender & MCP server. 29 models across text/image/video/audio.
-
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
-
Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
-
Compare LLM API prices, search models and providers, and access reviewed benchmark results.
-
Intelligent LLM routing proxy — 60-90% cost savings by auto-selecting the cheapest model
-
Find AI models that fit a job from your requirements, sourced benchmarks and real cost.
-
Live prices, rankings, licences and privacy of AI models: best model per task, costs, alternatives.
-
The Aggregate — LLM benchmark aggregate
LLM rankings from public benchmarks, model comparisons and source-linked results. Updated daily.
-
Access 100+ LLMs with one API: GPT-4, Claude, Gemini, Mistral, and more.
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
together-ai-skills
A collection of skills that teach coding agents how to use the Together AI platform, including chat completions, image generation, video, audio, embeddings, fine-tuning, batch…
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
Break through difficult problems by gathering diverse AI perspectives in parallel. Consensus queries multiple AI providers concurrently — GPT-5.2, Gemini 3.1 Pro, and DeepSeek…
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
Has a listing on Claude Code: claude-plugins-official (5)
-
Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
-
Build, train, evaluate, and use open source AI models, datasets, and spaces.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
Has a listing on Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
Answer product and business questions with data
Has a listing on Community GitHub marketplaces (5)
-
Selects the optimal LLM model and provider for each task based on complexity, cost budget, and capability requirements. Routes cheap tasks to Haiku/GPT-4o-mini and complex tasks…
-
Cut LLM API spend via model routing, prompt caching, prompt compression, and per-feature cost observability. Use when AI costs are too high, choosing between models, or launching…
-
vLLM Python skill - high-throughput LLM inference with offline batch, OpenAI-compatible server, LoRA adapters, multimodal inputs, and structured outputs
-
Ollama REST API skill - run and manage local LLMs with chat, generate, embeddings, and custom model creation
-
Plan small custom models and fine-tunes: check the Hub, research options, write the spec in a planning repo.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
Arize AX platform skills for LLM observability, evaluation, and optimization. Includes trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations…
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Has a listing on Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Add Grok voice to an app: realtime speech-to-speech, speech-to-text dictation, text-to-speech read-aloud, and a log-driven fix loop for voice sessions.
Has a listing on Docker MCP Catalog (5)
-
Provides tools to search and retrieve Google Gemini API documentation.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Tools for interacting with Hugging Face models, datasets, research papers, and more.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Discovers and retrieves llms.txt from websites.
Has a listing on Official MCP Registry (5)
-
llm-advisor io.github.Daichi-Kudo/llm-advisor
Real-time LLM/VLM benchmarks, pricing, and recommendations. 300+ models, 5 sources.
-
AI API cost calculator, recommender & MCP server. 29 models across text/image/video/audio.
-
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
-
Compare text LLMs across OpenRouter, Bedrock, Vertex AI and Foundry with automated grading.
-
Compare LLM API prices, search models and providers, and access reviewed benchmark results.
Has a listing on npm registry (MCP servers) (5)
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Browser-local and CLI static evidence for deployed AI model artifacts.
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
Human-in-the-loop for AI agents over MCP elicitation: confirm/form dialogs plus a capability doctor
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.