Glm nml edit
A skill to edit GLM's namelist file (glm3.nml) by safely updating parameter values within specific blocks.From its SKILL.md
npx -y skills add cxcscmu/SkillLearnBench --skill glm-nml-editAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.5 KB, 384 tokens by cl100k_base, as published. Nobody here has run it
GLM Namelist Editor
Overview
The General Lake Model (GLM) uses Fortran namelist (.nml) files for configuration. This skill covers how to parse and update specific parameters in these files.
Setup
No special installation is required if using standard CLI tools like sed or python for string replacement. For more robust parsing, use a regex-based approach.
Usage Pattern: Python (Regex)
import re
def update_nml(file_path, section, parameter, value):
with open(file_path, 'r') as f:
content = f.read()
# Find the section and update the parameter within it
pattern = rf"(&{section}.*?\b{parameter}\s*=\s*)[^,\n]*"
replacement = rf"\g<1>{value}"
# Use flags=re.DOTALL to match across lines if needed,
# but GLM parameters are usually on one line.
new_content = re.sub(pattern, replacement, content, flags=re.IGNORECASE | re.DOTALL)
with open(file_path, 'w') as f:
f.write(new_content)
Example: Bash (sed)
# Update Kw in &light section
sed -i '/&light/,/\// s/Kw *= *[0-9.]*/Kw = 0.45/' glm3.nml
Considerations
- GLM parameters are case-insensitive but usually lowercase.
- Parameters are grouped into blocks (e.g.,
&glm_setup,&light). - Some parameters are arrays (e.g.,
the_depths = 0.0, 1.0, 2.0). Update these carefully to maintain format. - Always verify the change with
grepafter modification.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.