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nemo-curator Skill

AI Agent SkillDesign & MediaPythonOpen source

Curate LLM training data: dedupe, filter, PII redaction. Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Data analysis, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

2 months ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is nemo-curator Skill?

Curate LLM training data: dedupe, filter, PII redaction. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Declared skill metadata

  • Declared author: Orchestra Research
  • Declared license: MIT
  • Source file: optional-skills/mlops/nemo-curator/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use nemo-curator Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/mlops/nemo-curator/SKILL.md

What it does

Curate LLM training data: dedupe, filter, PII redaction.

Skill instructions

NeMo Curator - GPU-Accelerated Data Curation NVIDIA's toolkit for preparing high-quality training data for LLMs. When to use NeMo Curator Use NeMo Curator when: - Preparing LLM training data from web scrapes (Common Crawl) - Need fast deduplication (16× faster than CPU) - Curating multi-modal datasets (text, images, video, audio) - Filtering low-quality or toxic content - Scaling data processing across GPU cluster Performance: - 16× faster fuzzy deduplication (8TB RedPajama v2) - 40% lower TCO vs CPU alternatives - Near-linear scaling across GPU nodes Use alternatives instead: - datatrove: CPU-based, open-source data processing - dolma: Allen AI's data toolkit - Ray Data: General ML data processing (no curation focus) Quick start Installation bash NeMo Curator 1.x installs with uv. Extras use hyphens (PyPI-normalized): text-cuda12 / text-cpu (and image/video/audio/math variants), or all. Text curation (CUDA 12) uv pip install "nemo-curator[text-cuda12]" All modalities uv pip install "n

Verified compatibility and discovery

Frequently asked questions

What is nemo-curator?

nemo-curator is a open-source AI agent skill with Copy skill directory. Curate LLM training data: dedupe, filter, PII redaction.

Who is nemo-curator best for?

nemo-curator is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install nemo-curator?

Install or run nemo-curator using Copy skill directory. Check nemo-curator for the latest setup command.

Is nemo-curator actively maintained?

nemo-curator may need a closer maintenance check before production use.

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Stars
232,138
Forks
46,253
Last commit
2 months ago
Last verified
Aug 18, 2026
Metadata fetched
Aug 18, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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