hugging-face-cli-workflows
hugging-face-cli-workflows is an MLOps & model serving skill for AI agents, published by burtenshaw in the training-agents repository on GitHub. Skillspace rates hugging-face-cli-workflows C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Use when working with Hugging Face CLI or Hub workflows for TRL training, including auth, repositories, uploads, downloads, Jobs, buckets, model persistence, dataset checks, Space links, and remote artifact movement.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 65
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- 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
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