train-sft

train-sft is a Fine-tuning & training data skill for AI agents, published by OpenPipe in the ART repository on GitHub. Skillspace rates train-sft D (62/100) and it passed the safety scan; the rating is based on static analysis only.

SFT training reference for the ART framework. Use when the user asks to create, write, or help with an SFT training script, fine-tune a model, train from a JSONL dataset, do distillation, or anything related to supervised fine-tuning.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
10,475

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubOpenPipe/ART

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. SFT training reference for the public ART framework

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Better-rated skills in Fine-tuning & training data

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.