Model Incorporation
OfficialWrap ML models into the Ersilia Model Hub.
Authorersilia-os
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Convert and publish a machine learning model into the Ersilia Model Hub by wrapping it in the eos-template format, enabling standardized deployment and discovery.
Core Features & Use Cases
- Automated model wrapping into the eos-template format with metadata and example artifacts.
- Phase-driven workflow (clone, analyse, verify, ID assignment, generation, and reporting).
- Supports optional publication details (paper URL, model-id) and configurable output directory.
Quick Start
Provide the source model repository URL and optional publication details to begin wrapping it into the eos-template format.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Model Incorporation Download link: https://github.com/ersilia-os/claude-ersilia-skills/archive/main.zip#model-incorporation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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