A specialized tool for building and simulating epidemiological metapopulation models through a guided, step-by-step specification process.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install epigrass-creator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install epigrass-creator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Epigrass Creator?
The Epigrass Creator skill empowers researchers and developers to design complex disease spread simulations across geographic networks. By leveraging Openclaw Skills, this tool simplifies the creation of Epigrass (Epidemiological Geo-referenced Analysis and Simulation System) scripts, transforming manual coding into an interactive wizard-driven experience.
This skill bridges the gap between geospatial data and epidemiological modeling, allowing users to define compartmental models like SIR or SEIR with ease. It is particularly valuable for those needing to translate real-world spatial data into actionable simulation models without writing extensive boilerplate code.
Epigrass Creator Use Cases
- Designing SIR, SEIR, or custom disease models for public health research and academic studies.
- Importing real-world spatial data from GeoPackage files to create high-fidelity simulation networks.
- Generating synthetic grid-based networks for testing theoretical disease spread scenarios.
- Rapidly prototyping epidemiological models for municipal boundaries or regional health planning.
How Epigrass Creator Works
- Select the epidemiological model type (e.g., SIR, SEIR, or SIS) based on the specific immunity and latency characteristics of the disease.
- Define site locations manually, via synthetic grids, or by importing geospatial vector data from a GeoPackage.
- Configure specific epidemiological parameters including transmission rates, latent periods, and recovery times.
- Establish the network topology by defining connections and edges between sites to simulate movement and transmission.
- Generate the final Epigrass scripts, site CSVs, and specification files ready for simulation and analysis.
Epigrass Creator Setup
To get started with this component of Openclaw Skills, ensure you have Python 3.8 or higher installed on your system. You can install the necessary dependencies using the following commands:
pip install epigrass
pip install geopandas
Once the libraries are installed, you can invoke the agent to begin the model creation wizard.
Epigrass Creator Data Schema & Taxonomy
The skill generates a standardized set of files to ensure full compatibility with the Epigrass ecosystem and easy integration into Openclaw Skills workflows:
| File | Format | Description |
|---|---|---|
| model.epg | Script | The executable Epigrass simulation script. |
| sites.csv | CSV | Node and site metadata including population and geocodes. |
| edges.csv | CSV | Connection data defining the edges between nodes. |
| model_spec.json | JSON | A complete specification of the model for reproducibility. |
Epigrass Creator Advanced Features
- Native GeoPackage (.gpkg) support for automatic coordinate extraction and municipal boundary mapping.
- Support for custom compartmental models allowing user-defined states and transitions for specialized scenarios.
- Automated generation of synthetic networks and grid systems for rapid testing.
- Seamless integration with geopandas and fiona for robust geospatial data handling.
SKILL.md
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