hugging-face-jobs-v2
hugging-face-jobs-v2 is an MLOps & model serving skill for AI agents, published by diegosouzapw in the awesome-omni-skills repository on GitHub. Skillspace rates hugging-face-jobs-v2 C (72/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Running Workloads on Hugging Face Jobs workflow skill. Use this skill when the user needs Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Needs review
- GitHub stars
- 79
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
- 77 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- suspicious outbound endpoint
- mentions secrets in text
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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