Awesome-Agent-Skills-for-Empirical-Research check-env

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

install
source · Clone the upstream repo
git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-check-env && rm -rf "$T"
manifest: skills/29-quarcs-lab-project20XXy/dot-claude/skills/check-env/SKILL.md
source content

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
    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
  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.