hf-cloud-python-env-setup
hf-cloud-python-env-setup is a Python skill for AI agents, published by huggingface in the skills repository on GitHub. Skillspace rates hf-cloud-python-env-setup B (81/100) and it passed the safety scan; a judge model has also reviewed it.
Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 10,816
Placed #3 of 6 in the judged category final for Python.
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
- Scope
- Vendor-specific: built around one product. Sets up Python env for AWS SageMaker, a public cloud product.
Judge review
Placed #3 of 6 in the judged category final for Python.
- Trigger
84 84 - Instructions
89 89 - Specificity
87 87 - Safety
84 84 - Disclosure
80 80 - Maintenance
84 84
Battle-tested SageMaker environment setup with real, dated gotchas (an SDK task-routing bug, an SSO credential regression) and an idempotent bundled script.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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