hf-cloud-python-env-setup agent skill by huggingface
Sets up an isolated Python environment with the right Python version and current boto3 for SageMaker and other AWS automation work.
At a glance
| Publisher | Hugging Face Official |
|---|---|
| Repository | huggingface/skills (24 listed skills) |
| Category | DevOps and Cloud |
| License | Apache-2.0 |
| Last commit | October 8, 2026 (repository) |
| SKILL.md | 85 lines, 833 words |
| Bundled files | 4 files, including scripts |
| Quality score | 85/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 22, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 2 script files (2 Python). Your agent may run them, so read them first.
- Commands in SKILL.md: its code blocks run
pip install, which fetches or runs software from outside the skill folder. - License: Apache-2.0, an open-source or open-content license.
Install hf-cloud-python-env-setup
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/huggingface/skills/tree/main/skills/hf-cloud-python-env-setuptmp="$(mktemp -d)"
git clone --depth 1 https://github.com/huggingface/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/hf-cloud-python-env-setup .claude/skills/
rm -rf "$tmp"tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/huggingface/skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/hf-cloud-python-env-setup .agents/skills/
rm -rf "$tmp"For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.
huggingface/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes 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.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- Core rules
- boto3 vs the SageMaker SDK
- How to set up
- Verifying
- Deployment-specific extras
- Common pitfalls
Files in the skill folder
SKILL.mdrequirements.txtscripts/check_versions.pyscripts/setup_env.py
Suede Skill Check: 85/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: c3ff942be3e0. Report version 4458ad868f51. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Reference files: 0 of 3 points. 3 when the skill folder ships a references/, reference/ or docs/ folder.
- Tool permissions declared: 0 of 2 points. 2 when the frontmatter declares allowed-tools.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
hf-cloud-python-env-setup passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 5 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 3 of 3 |
| Instruction depth | 7 of 7 |
| Reference files | 0 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 3 of 7 |
| Tool permissions declared | 0 of 2 |
| Compatibility declared | 0 of 2 |
Two badges for hf-cloud-python-env-setup
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[](https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/)
[](https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/)<a href="https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/"><img src="https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/score.svg" alt="Suede Skill Check: 85/100" width="160" height="175"></a>
<a href="https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/"><img src="https://suedeai.directory/huggingface/skills/hf-cloud-python-env-setup/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: Display either quality badge in your repository or skill README, linked to your listing, then request verification. Suede AI checks the rendered README at a recorded commit. Eligible skills scoring 80–99 with a verified badge can receive a featured placement while the offer is open. Request badge verification.
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Where this skill is cited
huggingface/skills appears in 2 curated lists: heilcheng/awesome-agent-skills, skillmatic-ai/awesome-agent-skills.