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Check env

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env

Verifies required tools (Quarto, uv, Python, R, Stata, TeX) and Jupyter kernels are installed. Use when setting up or troubleshooting.From its SKILL.md

Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill check-env

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

2.4 KB, 528 tokens by cl100k_base, as published. Nobody here has run it

Check Environment

Verify that all required tools and dependencies are installed and correctly configured.

Steps

  1. Check each required tool and report its version (or "not found"):

    ToolCommandMinimum
    Quartoquarto --version>= 1.4
    uvuv --versionany
    Pythonpython3 --version>= 3.12
    RR --versionoptional
    Statawhich stataoptional
    TeX Livepdflatex --versionoptional (for PDF)
    GitHub CLIgh --versionoptional

  2. Check Jupyter kernels by running uv run jupyter kernelspec list and verify:

    • python3 — required
    • ir — optional (needed for R notebooks)
    • nbstata — optional (needed for Stata notebooks)

  3. 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

  4. Check nbstata configuration (if nbstata kernel is present):

    • Verify ~/.config/nbstata/nbstata.conf exists
    • Read it and check that stata_dir points to an existing directory

  5. 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).

  6. If any required check fails, provide the installation command or link to fix it.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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