nemo-curator
nemo-curator is a Fine-tuning & training data skill for AI agents, published by davila7 in the claude-code-templates repository on GitHub. Skillspace rates nemo-curator B (85/100) and it passed the safety scan; a judge model has also reviewed it.
GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 30,694
Placed #5 of 6 in the judged category final for Fine-tuning & training data.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Fine-tuning & training data.
- Trigger
85 85 - Instructions
82 82 - Specificity
88 88 - Safety
85 85 - Disclosure
55 55 - Maintenance
45 45
Broad, code-heavy coverage of dedup, filtering, and PII redaction across modalities, weakened by unsourced marketing-style performance claims and no split reference docs.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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