Individual skill
evo-glm-simulation
Run the General Lake Model (GLM v3) for Lake Mendota — edit glm3.nml, execute the GLM binary, parse NetCDF output (depth = z_surface - z_layer), match to field observations, compute RMSE, and iteratively calibrate Kw, sw_factor, wind_factor, coef_mix_hyp to achieve RMSE < 2°C.
tasks-evolved/glm-lake-mendota/environment/skills/evo-glm-simulation/SKILL.md
Source commit 84ca182da055fafb6453dcec4a6defdbbfd987c1
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 97
- Repository last updated
- Sep 10, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- llm-agents Repository topic
- open-world Repository topic
- self-evolving-agents Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 2,804 bytesSKILL.mdcore · 2,804 bytesscripts/utils.pyruns · 7,976 bytes
Read excerpt
# evo-glm-simulation
End-to-end workflow for running and calibrating GLM for Lake Mendota.
## Directory contract
- `/root/glm3.nml` — namelist (working dir is `/root/`)
- `/root/bcs/*.csv` — meteo, inflow (yahara, pheasant), outflow
- `/root/field_temp_oxy.csv` — field obs (columns: datetime, depth, temp, OXY_oxy)
- `/root/output/output.nc` — required output
## Usage
```python
import sys