model-right-sizer
Model-selection economist agent for Claude Code: decides which Claude model (and effort/token budget) each task in a flow should run on by weighing effectiveness need against…
Пакет плагинов · от CloudZero, Inc.
Коротко
model-right-sizer: пакет плагинов для ИИ-инструментов разработки, издатель CloudZero, Inc.. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Мы впервые увидели его 2026-10-15 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-10-22.
Model-selection economist agent for Claude Code: decides which Claude model (and effort/token budget) each task in a flow should run on by weighing effectiveness need against efficiency pressure and difficulty, bookended around a build as a right-sizing blueprint and a closing usage report -- with token_ceiling itself computed deterministically from six rated real-work signals, not free-handed. Ships with eleven companion skills: installing the standing before/after mandate in a target repo, previewing the routing map for an intent without building anything, retroactively auditing every real model call already shipped in a target repo, prescribing a minimal output schema for one agent's handoff to its controller, guarding token budgets and the routing-map status ledger while work is in flight, validating candidate real-work signals and studying/tuning the agent's research-grounded layers, and publishing dated release/research reports.
Что просит
- Ставится как пакет плагинов
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как плагин Claude Code
Собрано из того, что объявляет Community GitHub marketplaces.
/plugin marketplace add cloudzero/cloudzero-claude-marketplace
/plugin install model-right-sizer@cloudzero
Где опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества cloudzero/cloudzero-claude-marketplace (Открыть исходники на GitHub) | Опубликован | 0.2.0 | Форки (GitHub): 8 Звёзды (GitHub): 25 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Есть в одном маркетплейсе сообщества
| Витрина | Репозиторий | Звёзды (GitHub) |
|---|---|---|
| cloudzero | cloudzero/cloudzero-claude-marketplace | 25 |
Что входит в пакет
Так опубликовано на витрине Community GitHub marketplaces.
Скиллы: 11
model-right-sizer-auditmodel-right-sizer-budget-guardmodel-right-sizer-dryrunmodel-right-sizer-holdout-tuningmodel-right-sizer-installmodel-right-sizer-layer-ablationmodel-right-sizer-prompt-tuningmodel-right-sizer-release-reportmodel-right-sizer-research-reportmodel-right-sizer-schemamodel-right-sizer-signal-validation
Агенты: 1
model-right-sizer
Что менялось
- Стал продуктом, за которым мы следим
- Community GitHub marketplaces: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
See what Claude costs you and spend less of it. In chat: hand a long chat over to a new one, digest long documents, set up Projects, check tokens, sharpen prompts. In Claude Code…
-
Audit and optimize Claude Code context window usage. Runs a 9-phase analysis covering plugins, hooks, CLAUDE.md cascade, MCP servers, environment settings, zombie process…
-
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…
-
Install and maintain a "model routing" section in a project's CLAUDE.md that teaches Claude Code which model to use for which work, including delegating to GPT models via the…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
-
Produces evidence-based model routing plans: maps each task unit to the best-suited AI model (Claude, GPT, Gemini, open-weight) using a 30-category task taxonomy, decision rules…
-
Claude Code efficiency and hygiene toolkit. Surfaces token spend across the 5h / 7d / Sonnet-7d billing windows with per-model / per-agent / per-skill attribution, and audits your…
-
Research-backed orchestration for Claude Code. Structured workflow from idea to production with parallel execution, session memory, 70-point validation, autonomous mode, and…
-
Claude Code is great, but treating every prompt with full context is too expensive. I built Claude_Meister as an MCP plugin to dynamically route tasks and score memory, dropping…
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине Claude Code: claude-plugins-community (5)
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
Audit and optimize Claude Code context window usage. Runs a 9-phase analysis covering plugins, hooks, CLAUDE.md cascade, MCP servers, environment settings, zombie process…
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
-
Research-backed orchestration for Claude Code. Structured workflow from idea to production with parallel execution, session memory, 70-point validation, autonomous mode, and…
-
Claude Code is great, but treating every prompt with full context is too expensive. I built Claude_Meister as an MCP plugin to dynamically route tasks and score memory, dropping…
Есть на витрине Claude Code: claude-plugins-official (5)
-
Development kit for working with the Claude Agent SDK
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
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.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
Есть на витрине 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
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
Есть на витрине Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Answer product and business questions with data
Есть на витрине Community GitHub marketplaces (5)
-
See what Claude costs you and spend less of it. In chat: hand a long chat over to a new one, digest long documents, set up Projects, check tokens, sharpen prompts. In Claude Code…
-
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…
-
Install and maintain a "model routing" section in a project's CLAUDE.md that teaches Claude Code which model to use for which work, including delegating to GPT models via the…
-
Produces evidence-based model routing plans: maps each task unit to the best-suited AI model (Claude, GPT, Gemini, open-weight) using a 30-category task taxonomy, decision rules…
-
Claude Code efficiency and hygiene toolkit. Surfaces token spend across the 5h / 7d / Sonnet-7d billing windows with per-model / per-agent / per-skill attribution, and audits your…
Есть на витрине 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.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
Есть на витрине 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.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Есть на витрине Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Ask Databricks Genie questions about your workspace's data in plain language.
Есть на витрине Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Giving Claude ability to run code with E2B via MCP (Model Context Protocol).
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Есть на витрине Official MCP Registry (5)
-
Credit Optimizer v5 for Manus AI
Optimizes Manus AI credit usage by 30-75% via intelligent model routing and smart testing.
-
Execute cost-optimal-model-selector-mcp
Premium agentic endpoint for cost-optimal-model-selector-mcp.
-
Find the cheapest AI model that passes your tests: audit repo models, build evals, routing, sizing
-
Local-first LLM cost analysis and model-switch savings estimates for AI agents.
-
Intelligent LLM routing proxy — 60-90% cost savings by auto-selecting the cheapest model
Есть на витрине npm registry (MCP servers) (5)
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Run Claude Code subagents on cheaper opencode models (DeepSeek, opencode Go) with native parity.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
rubber-duck io.github.nesquikm/rubber-duck
Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more
-
Shared project memory for Claude Code, Codex and Cursor: decisions and corrections through MCP.
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Community GitHub marketplaces. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.