glm-basics
Basic usage of the General Lake Model (GLM) for lake temperature simulation
Install / Use
npx skills add benchflow-ai/skillsbench --skill glm-basicsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Tags
Our assessment of glm-basics
glm-basics scores 79/100 on our quality scale, 362nd of 440 Marketing skills we index.
Its SKILL.md is 2.1 KB long, well organised into 9 sections with 3 code examples: moderately detailed.
With 1,813 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so glm-basics is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
glm-basics compared with similar skills
All 4 of these similar skills score higher than glm-basics; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| glm-basics (this skill)by benchflow-ai | 79 | 1.8k | 2mo ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 7d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 9d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 9d ago | SKILL.md |
Frequently asked questions
- How do I install glm-basics?
- Run
npx skills add benchflow-ai/skillsbench --skill glm-basics. The install tabs above show the steps for each supported agent. - Which AI agents does glm-basics work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is glm-basics safe to use?
- It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is glm-basics still maintained?
- The repository was last updated about 2 months ago, so glm-basics is actively maintained.
Skill content
View source on GitHubname: glm-basics description: Basic usage of the General Lake Model (GLM) for lake temperature simulation. Use when you need to run GLM, understand input files, or modify configuration parameters. license: MIT
GLM Basics Guide
Overview
GLM (General Lake Model) is a 1D hydrodynamic model that simulates vertical temperature and mixing dynamics in lakes. It reads configuration from a namelist file and produces NetCDF output.
Running GLM
cd /root
glm
GLM reads glm3.nml in the current directory and produces output in output/output.nc.
Input File Structure
| File | Description |
|------|-------------|
| glm3.nml | Main configuration file (Fortran namelist format) |
| bcs/*.csv | Boundary condition files (meteorology, inflows, outflows) |
Configuration File Format
glm3.nml uses Fortran namelist format with multiple sections:
&glm_setup
sim_name = 'LakeName'
max_layers = 500
/
&light
Kw = 0.3
/
&mixing
coef_mix_hyp = 0.5
/
&meteorology
meteo_fl = 'bcs/meteo.csv'
wind_factor = 1
lw_factor = 1
ch = 0.0013
/
&inflow
inflow_fl = 'bcs/inflow1.csv','bcs/inflow2.csv'
/
&outflow
outflow_fl = 'bcs/outflow.csv'
/
Modifying Parameters with Python
import re
def modify_nml(nml_path, params):
with open(nml_path, 'r') as f:
content = f.read()
for param, value in params.items():
pattern = rf"({param}\s*=\s*)[\d\.\-e]+"
replacement = rf"\g<1>{value}"
content = re.sub(pattern, replacement, content)
with open(nml_path, 'w') as f:
f.write(content)
# Example usage
modify_nml('glm3.nml', {'Kw': 0.25, 'wind_factor': 0.9})
Common Issues
| Issue | Cause | Solution | |-------|-------|----------| | GLM fails to start | Missing input files | Check bcs/ directory | | No output generated | Invalid nml syntax | Check namelist format | | Simulation crashes | Unrealistic parameters | Use values within valid ranges |
Best Practices
- Always backup
glm3.nmlbefore modifying - Run GLM after each parameter change to verify it works
- Check
output/directory for results after each run
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
