token
AI Operations Team — Token: Context window optimization, token counting, truncation strategies, and chunking patterns for LLM efficiency.
Pacote de plugins · de tonone-ai
Resumo
token é um pacote de plugins para ferramentas de programação com IA publicado por tonone-ai. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). A última mudança que registramos foi em 2026-11-10. Conforme nossa passagem pelos marketplaces em 2026-11-15.
O que pede
- Instala-se como pacote de plugins
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add tonone-ai/tonone
/plugin install token@tonone-aiOnde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade tonone-ai/tonone (Abrir o código no GitHub) | Listado | 1.20.0 | Forks (GitHub): 11 Estrelas (GitHub): 77 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| tonone-ai | tonone-ai/tonone | 77 |
O que o pacote contém
Conforme publicado em Community GitHub marketplaces.
Skills: 4
token-budgettoken-chunktoken-compacttoken-recon
Agentes: 1
token
O que mudou
- Community GitHub marketplaces: lançou a versão 1.20.0 (antes 1.19.0)
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
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Count and cut tokens in prompts, chats and agents for any model. Runs locally, collects no data.
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Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
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Counts tokens under OpenAI-compatible (tiktoken) encodings, by model or encoding name.
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Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
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QuickBuild token-saver tools + x402
Free no-LLM token savers: URL→Markdown, outline, JSON trim, log compress, token count; x402 extras
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tokenization
Text tokenization for LLMs including HuggingFace Tokenizers and SentencePiece. Use when training custom tokenizers or handling multilingual text.
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mcp-token-optimizer io.github.rccola990-cloud/mcp-token-optimizer
Cut LLM token costs: count tokens, estimate cost, slim prompts, and pick the cheapest capable model.
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Token counting, RAG chunking, truncation, HTML to Markdown and JSON repair
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ATR: Automation for Token Reduction
MCP proxy that hides tool lists and shrinks tool results so your AI uses fewer tokens.
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GenPark Context Window Token Pruner
Priority-weighted context window token pruner and FIFO eviction engine protecting LLM prompt boundar
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A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
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AI eXchange Optimised Notation plugin converts your inputs into a machine-to-machine language to reduce token usage by up to 80% depending on the context.
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Two skills that help you understand and optimize your Claude Code context window. Inspect Context gives you a full token breakdown by source (files, history, skills, MCP configs…
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A Claude Code plugin that routes text-heavy tasks to the right Claude model — saving tokens without sacrificing quality. Why Planning, CLAUDE.md generation, README writing, and…
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Plan tasks with optimal model routing to minimize token usage. Breaks work into steps, assigns each the right model (Haiku/Sonnet/Opus), adds quality gates between stages…
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Token-optimized document reader — silently compresses .md, .html, and .txt files on every Read, cutting context usage by ~30% with zero workflow change. Adaptive 4-stage…
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Agent Skills for Together AI platform — inference, training, embeddings, audio, video, images, function calling, and infrastructure. Covers serverless chat completions…
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OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
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Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
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Build, train, evaluate, and use open source AI models, datasets, and spaces.
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DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
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AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
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Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
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Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
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Listado em Community GitHub marketplaces (2)
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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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Discovers and retrieves llms.txt from websites.
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Count and cut tokens in prompts, chats and agents for any model. Runs locally, collects no data.
-
Count tokens exactly for any text and see if it fits a 128K, 200K or 1M context window.
-
Counts tokens under OpenAI-compatible (tiktoken) encodings, by model or encoding name.
-
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
-
QuickBuild token-saver tools + x402
Free no-LLM token savers: URL→Markdown, outline, JSON trim, log compress, token count; x402 extras
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local-delegate io.github.ZahiriNatZuke/local-delegate
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Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
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Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
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