Env snapshot
Captures tool versions, packages, and kernel info as a reproducibility record in notes/. Use when documenting the environment.From its SKILL.md
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill env-snapshotAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
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SKILL.md
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Document Environment Snapshot
Capture the full environment state and save it as a reproducibility record.
Steps
-
Gather system and tool versions:
uname -a # OS info quarto --version # Quarto uv --version # uv python3 --version # Python -
Capture Python package versions:
uv pip list # all installed packages with versions -
Capture Jupyter kernel list:
uv run jupyter kernelspec list -
If R is available, capture R session info:
R -e "sessionInfo()" -
If Stata is available, note the version:
which stata # or check nbstata.conf for edition infoRead
~/.config/nbstata/nbstata.confforstata_dirandedition. -
If TeX Live is available:
pdflatex --version | head -1 -
Generate a timestamped Markdown file with all collected information:
# Environment Snapshot — YYYY-MM-DD ## System - OS: ... - Platform: ... ## Tools | Tool | Version | | ---- | ------- | | Quarto | x.x.x | | uv | x.x.x | | Python | 3.12.x | | R | x.x.x (or N/A) | | Stata | SE x.x (or N/A) | | TeX Live | xxxx (or N/A) | ## Jupyter Kernels - python3: /path/to/kernel - ir: /path/to/kernel (or N/A) - nbstata: /path/to/kernel (or N/A) ## Python Packages | Package | Version | | ------- | ------- | | numpy | x.x.x | | pandas | x.x.x | | ... | ... | ## R Session Info (full sessionInfo() output, or "R not available") ## Stata Packages (ado dir output, or "Stata not available") -
Save to
notes/environment-YYYYMMDD.md(using today's date). -
Report the file path.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.