Nature-Style Scientific Figures
Yuan1z0825/nature-skills
Creates, revises, audits and exports manuscript-ready scientific figures in Python or R, and routes AI-generated graphical abstracts to a separate workflow.
Enforce Python execution through uv instead of direct interpreter calls.
Install Python Via Uv
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DeepMIMO/DeepMIMO python-via-uv --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/python-via-uv .claude/skills/python-via-uv && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .claude/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uvType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DeepMIMO/DeepMIMO python-via-uv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/python-via-uv .agents/skills/python-via-uv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .agents/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DeepMIMO/DeepMIMO python-via-uv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/python-via-uv .cursor/skills/python-via-uv && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .cursor/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DeepMIMO/DeepMIMO.git --path .claude/skills/python-via-uv--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DeepMIMO/DeepMIMO python-via-uv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/python-via-uv .gemini/skills/python-via-uv && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .gemini/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DeepMIMO/DeepMIMO python-via-uvInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/python-via-uv .github/skills/python-via-uv && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .github/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DeepMIMO/DeepMIMO python-via-uv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DeepMIMO/DeepMIMO.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/python-via-uv .opencode/skills/python-via-uv && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "python-via-uv" agent skill from https://github.com/DeepMIMO/DeepMIMO/tree/main/.claude/skills/python-via-uv into .opencode/skills/python-via-uv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-via-uv", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
python-via-uv- GitHub stars
- 128
- Token cost
- ~401 tokens
- SKILL.md length
- 183 words
- Files
- 1
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Enforce Python execution through uv instead of direct interpreter calls.
- Codex needs to run Python scripts
- SKILL.md covers Execution Rules and Notes
- Calls uv
- Package commands in a workspace and should avoid invoking python
What it does
Python Via Uv is an agent skill from DeepMIMO/DeepMIMO. Enforce Python execution through uv instead of direct interpreter calls. Use when Codex needs to run Python scripts, modules, one-liners, tools, test runners, or package commands in a workspace and should avoid invoking python or python3 directly.
Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. It works with Python. The repository describes itself as: DeepMIMOv4: A Toolchain and Database for Ray-tracing Datasets. The licence is Apache-2.0.
When your agent uses it
- Codex needs to run Python scripts
- Package commands in a workspace and should avoid invoking python
- Python3 directly
Example prompts
- “/python-via-uv”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 82be994. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Python Via Uv loads about 401 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 183 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from DeepMIMO/DeepMIMO at commit 82be994, republished under its Apache-2.0 licence (© DeepMIMO). 183 words, ~401 tokens.
Download SKILL.mdSave it as
.claude/skills/python-via-uv/SKILL.md (or your agent's skills folder).- name
- python-via-uv
- description
- Enforce Python execution through `uv` instead of direct interpreter calls. Use when Codex needs to run Python scripts, modules, one-liners, tools, test runners, or package commands in a workspace and should avoid invoking `python` or `python3` directly.
Python Via Uv
Use uv for every Python command.
Do not run python.
Do not run python3.
Do not suggest python or python3 in instructions unless the user explicitly requires them and the constraint must be called out as a conflict.
Execution Rules
When sandboxed, set UV_CACHE_DIR to a temporary directory the agent can write to before running uv commands.
Prefer these patterns:
- Run a script:
UV_CACHE_DIR=/tmp/uv-cache uv run path/to/script.py - Run a module:
UV_CACHE_DIR=/tmp/uv-cache uv run -m package.module - Run a one-liner:
UV_CACHE_DIR=/tmp/uv-cache uv run python -c "print('hello')" - Run a tool exposed by dependencies:
UV_CACHE_DIR=/tmp/uv-cache uv run tool-name - Add a dependency for an ad hoc command:
UV_CACHE_DIR=/tmp/uv-cache uv run --with <package> python -c "..."
Notes
Using python inside uv run ... is acceptable because uv is still the entrypoint controlling interpreter selection and environment setup.
If the workspace already defines a project-specific temporary cache directory, prefer that over /tmp/uv-cache.
If a command example or existing documentation uses python or python3 directly, translate it to the closest uv form before executing it.
Use uv help run to get full help about the command uv run when needed.
© DeepMIMO, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/python-via-uv of DeepMIMO/DeepMIMO.
Open the folder on GitHubat commit 82be994
Compare with similar skills
Python Via Uv next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Python Via Uv this skillDeepMIMO/DeepMIMO | 128 | — | ~401 | Automated safety check: Pass | Apache-2.0 | |
| Nature-Style Scientific FiguresYuan1z0825/nature-skills | 46k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Neuropixels Data Analysisdavila7/claude-code-templates | 32k | 10 repos | ~2.8k | Automated safety check: Pass | MIT | |
| High Stakes Analytics Decision Lablimingrui679-design/high-stakes-analytics-decision-lab | 989 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Qiskit 2.x Quantum ML Referenceaiming-lab/AutoResearchClaw | 15k | — | ~4.7k | Automated safety check: Pass | MIT | |
| Modeling Code and Result Contractsyushui2022/MathModel-Skill | 452 | — | ~1.4k | Automated safety check: Pass | MIT |
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Questions about Python Via Uv
What does Python Via Uv do?
Enforce Python execution through uv instead of direct interpreter calls. Python Via Uv is an agent skill from DeepMIMO/DeepMIMO. Enforce Python execution through uv instead of direct interpreter calls.
When should I use Python Via Uv?
Python Via Uv fits situations like: Codex needs to run Python scripts; package commands in a workspace and should avoid invoking python; python3 directly.
How do I install Python Via Uv in Claude Code?
Run `npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a claude-code`. Or copy the skill folder (.claude/skills/python-via-uv in DeepMIMO/DeepMIMO) into .claude/skills/python-via-uv in your project. Claude Code loads it when a task matches its description.
How do I install Python Via Uv in Codex?
Run `npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a codex`. Or copy the skill folder (.claude/skills/python-via-uv in DeepMIMO/DeepMIMO) into .agents/skills/python-via-uv in your project. Codex loads it when a task matches its description.
Can I use Python Via Uv in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DeepMIMO/DeepMIMO --skill python-via-uv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-via-uv, .gemini/skills/python-via-uv, .github/skills/python-via-uv and .opencode/skills/python-via-uv in your project.
What does Python Via Uv need to run?
Going by SKILL.md and its folder, Python Via Uv needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Python Via Uv access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Python Via Uv safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Python Via Uv use?
Python Via Uv is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Python Via Uv use?
About 401 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Python Via Uv?
Skills that share tags, products or a category with Python Via Uv: Nature-Style Scientific Figures (Yuan1z0825/nature-skills, 46k stars), Neuropixels Data Analysis (davila7/claude-code-templates, 32k stars), High Stakes Analytics Decision Lab (limingrui679-design/high-stakes-analytics-decision-lab, 989 stars) and Qiskit 2.x Quantum ML Reference (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Via Uv?
DeepMIMO (a GitHub organization) maintains it in DeepMIMO/DeepMIMO, which has 128 GitHub stars. The repository was last updated on October 6, 2026.
Source: DeepMIMO/DeepMIMO on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.