tensorpool
tensorpool is an MLOps & model serving skill for AI agents, published by tensorpool in the tensorpool repository on GitHub. Skillspace rates tensorpool F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
This skill helps users run ML workloads on TensorPool GPU infrastructure. It supports two workflows — (1) Jobs, a fire-and-forget git-style interface for training experiments via tp job, and (2) Clusters, interactive SSH-based GPU development via tp ssh. Use this when a user wants to run scripts on cloud GPUs, submit training jobs, manage GPU clusters, or scale up to professional hardware (H100, H200, B200, B300, etc.).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 434
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.
Our review
- Architecture
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- accesses sensitive system files
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.