Eas Simulator
sickn33/agentic-awesome-skills
Curated upstream guidance for Eas Simulator; use when the workflow matches the user goal.
Basic usage of the General Lake Model (GLM) for lake temperature simulation.
MITAuto-check passed
Install Glm Basics
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench glm-basics --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .claude/skills/glm-basics && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .claude/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basicsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench glm-basics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .agents/skills/glm-basics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .agents/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench glm-basics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .cursor/skills/glm-basics && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .cursor/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/glm-lake-mendota/environment/skills/glm-basics--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench glm-basics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .gemini/skills/glm-basics && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .gemini/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench glm-basicsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .github/skills/glm-basics && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .github/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill glm-basics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench glm-basics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/glm-lake-mendota/environment/skills/glm-basics .opencode/skills/glm-basics && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "glm-basics" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/glm-lake-mendota/environment/skills/glm-basics into .opencode/skills/glm-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glm-basics", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
glm-basics- GitHub stars
- 1.8k
- Token cost
- ~540 tokens
- SKILL.md length
- 139 words
- Files
- 1
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- MIT
At a glance
Basic usage of the General Lake Model (GLM) for lake temperature simulation.
- You need to run GLM
- SKILL.md covers Overview, Running GLM, Input File Structure and Configuration File Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Understand input files
What it does
Glm Basics is an agent skill from benchflow-ai/skillsbench. 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.
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is MIT.
When your agent uses it
- You need to run GLM
- Understand input files
- Modify configuration parameters
Example prompts
- “/glm-basics”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash, fortran and python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Glm Basics loads about 540 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 139 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its MIT licence (© benchflow-ai). 139 words, ~540 tokens.
Download SKILL.mdSave it as
.claude/skills/glm-basics/SKILL.md (or your agent's skills folder).- name
- 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
glmGLM 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
© benchflow-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in tasks/glm-lake-mendota/environment/skills/glm-basics of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Glm Basics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Glm Basics this skillbenchflow-ai/skillsbench | 1.8k | — | ~540 | Automated safety check: Pass | MIT | |
| Eas Simulatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~6k | Automated safety check: Notes | MIT | |
| Basicbergside/awesome-design-skills | 3.1k | 1 repos | ~969 | Automated safety check: Pass | MIT | |
| Glmmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Makepad Basicssickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| General Counsel Advisoralirezarezvani/claude-skills | 28k | — | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Glm Basics
What does Glm Basics do?
Basic usage of the General Lake Model (GLM) for lake temperature simulation. Glm Basics is an agent skill from benchflow-ai/skillsbench. Basic usage of the General Lake Model (GLM) for lake temperature simulation.
When should I use Glm Basics?
Glm Basics fits situations like: you need to run GLM; understand input files; modify configuration parameters.
How do I install Glm Basics in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill glm-basics -a claude-code`. Or copy the skill folder (tasks/glm-lake-mendota/environment/skills/glm-basics in benchflow-ai/skillsbench) into .claude/skills/glm-basics in your project. Claude Code loads it when a task matches its description.
How do I install Glm Basics in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill glm-basics -a codex`. Or copy the skill folder (tasks/glm-lake-mendota/environment/skills/glm-basics in benchflow-ai/skillsbench) into .agents/skills/glm-basics in your project. Codex loads it when a task matches its description.
Can I use Glm Basics in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill glm-basics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/glm-basics, .gemini/skills/glm-basics, .github/skills/glm-basics and .opencode/skills/glm-basics in your project.
What does Glm Basics need to run?
SKILL.md names no scripts, command-line tools or credentials: Glm Basics is instructions for the agent only. Our summary lists: Python 3.
Does Glm Basics access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Glm Basics safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Glm Basics use?
Glm Basics is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Glm Basics use?
About 540 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Glm Basics?
Skills that share tags, products or a category with Glm Basics: Eas Simulator (sickn33/agentic-awesome-skills, 47k stars), Basic (bergside/awesome-design-skills, 3.1k stars), Glm (majiayu000/claude-skill-registry, 666 stars) and Makepad Basics (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Glm Basics?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.