caixinyu2017-star/xixi/check-env
- community
Checking that the SKILL.md file is still in the repository.
Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.
Install
npx vskill@latest install caixinyu2017-star/xixi/check-envSKILL.md
Check Environment
Verify that all required tools and dependencies are installed and correctly configured.
Steps
- Check each required tool and report its version (or "not found"):
| Tool | Command | Minimum | |
|---|---|---|---|
| Quarto | quarto --version | >= 1.4 | |
| uv | uv --version | any | |
| Python | python3 --version | >= 3.12 | |
| R | R --version | optional | |
| Stata | which stata | optional | |
| TeX Live | pdflatex --version | optional (for PDF) | |
| GitHub CLI | gh --version | optional |
- Check Jupyter kernels by running
uv run jupyter kernelspec listand verify:
python3— requiredir— optional (needed for R notebooks)nbstata— optional (needed for Stata notebooks)
- Check the Python virtual environment:
- Verify
.venv/exists - Run
uv run python -c "import numpy; import pandas; import matplotlib; import jupytext; print('Core packages OK')"to confirm importability
- Check nbstata configuration (if nbstata kernel is present):
- Verify
~/.config/nbstata/nbstata.confexists - Read it and check that
stata_dirpoints to an existing directory
- Report a structured results table:
`` Tool/Check Status Version/Details ───────────────────────────────────────────────── Quarto PASS 1.6.x uv PASS 0.x.x Python PASS 3.12.x R PASS 4.x.x Stata SKIP not found (optional) TeX Live PASS 2024 GitHub CLI PASS 2.x.x Kernel: python3 PASS installed Kernel: ir PASS installed Kernel: nbstata SKIP not installed .venv/ PASS exists Core Python packages PASS importable nbstata.conf SKIP kernel not installed ``
Use PASS / FAIL / SKIP (SKIP for optional tools that are absent).
- If any required check fails, provide the installation command or link to fix it.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/auto-empirical-research-skills/skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env/SKILL.md
Popularity
- Repository stars
- 2
- 7-day trend score
- 10
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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Embed badge
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