safe-synthesizer

Use NeMo Safe Synthesizer from the NMP plugin through task-specific routing: host-local GPU runs, platform job submission, configuration, troubleshooting, artifacts, privacy settings, PII replacement, and evaluation reports. Use when the user asks about safe-synthesizer, NeMo Safe Synthesizer, synthetic tabular data, DP settings, generation failures, plugin-local runs, filesets, model filesets, or `nemo safe-synthesizer` CLI commands.

Ir para a instalação

Repositório: NVIDIA-NeMo/nemo-platform
Última atividade na origem: 14 de agosto de 2026 às 17:32
Idioma detectado do SKILL.md: inglês
Estrelas: 67
Forks: 19

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.

npx skills add https://github.com/NVIDIA-NeMo/nemo-platform --skill safe-synthesizer

O comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.

Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

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8 arquivos

SKILL.md

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Voltar à pesquisa Voltar à instalação

nemo-customizer

Fine-tune models on NeMo Platform with `automodel`, `unsloth`, or `rl` (all `submit`-only): HF dataset conversion, filesets, model entities, and job JSON (hyperparameters, batch, schedule, optimizer) + job polling. `automodel`/`unsloth` run SFT/LoRA as Docker GPU jobs; `rl` runs DPO (preference) or GRPO (NeMo Gym environment + reward) on a Ray cluster (Kubernetes). Covers building and converting NeMo Gym environment packages (native-v1, wheels-v1, adapter-wheels-v1) and Gym rollout-row datasets. Use for train, fine-tune, customize, SFT, LoRA, DPO, GRPO, RLHF, reinforcement learning, reward environment, NeMo Gym, verifiers, Prime Intellect, preference optimization, learning rate, epochs, or nemo customization.

2026-08-26

eval-author-audit

Generate, validate, and measure an audit-spec coverage denominator for Eval Author. Use when the user wants a hand-editable audit.md file derived from Ethos, needs schema enforcement for declared tools, capabilities, failure cases, evidence, and references, or wants to measure which audit items one ATIF trace covers. Changes none of the user's source, and saves audit artifacts under `.eval-author/`.

2026-08-26

eval-author

Work on evaluation suites in a user's repository or understand an agent run from NeMo Intake. Owns the evidence standard that every Eval Author sub-flow follows. Use when the user asks "help me with my evals", "what's the state of the eval suite here?", "what happened in this trace?", or when you need to pick between the Eval Author sub-flows. Routes to a sub-flow and changes none of the user's source. The selected sub-flow uses the provider's supported tools and saves its findings under `.eval-author/`.

2026-08-26

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name	safe-synthesizer
description	Use NeMo Safe Synthesizer from the NMP plugin through platform job creation, configuration, troubleshooting, artifacts, privacy settings, PII replacement, and evaluation reports. Use when the user asks about safe-synthesizer, NeMo Safe Synthesizer, synthetic tabular data, DP settings, generation failures, filesets, model filesets, or Safe Synthesizer jobs.
license	Apache-2.0