How do I install the Symtorch skill?

Run npx skillmds@latest add lamm-mit/symtorch in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Symtorch safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Symtorch?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Symtorch free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Symtorch?

lamm-mit (@lamm-mit) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Symtorch by lamm-mit — Agent Skill

Name: Symtorch
Author: lamm-mit

File contents

symtorch

Approximate deep learning model components with symbolic equations using PySR

Code repository

https://github.com/elizabethsztan/InterpretSR

Use this as the implementation source: clone the repo and follow its README for install, dependencies, and how to run code or experiments. The generated client prints JSON with a suggested git clone command.

Paper (arXiv — explanation)

https://arxiv.org/abs/2602.21307

This is the paper reference. The client can optionally fetch live Atom metadata (title, abstract) for agents; it does not run training or upstream research code by itself.

What “running” this client does

The *_client.py script prints JSON that combines a GitHub repository (clone URL + suggested git clone) with optional paper context from arXiv (live Atom metadata when reference_url is arXiv). Run the real code by cloning the repo and following its README — the skill is your agent-facing entrypoint, not a substitute for the repo’s install steps.

To call a REST API instead, set BASE_URL in scripts/symtorch_client.py or wrap the upstream CLI with subprocess after clone.

How to run the method (from the source)

Extracted for operators and agents. Confirm against the upstream repository or paper before relying on it in production.

Prerequisites

Python 3.7+
pip or conda package manager
PyTorch installation (typically installed as dependency)

Installation

Install SymTorch from PyPI:

pip install torch-symbolic

How to run

The README does not document specific CLI commands or entrypoints. Refer to the official documentation at ReadTheDocs for usage examples and API reference.

Configuration

No environment variables or configuration files are documented in the README. See the accompanying website and full documentation for configuration details.

The same text lives in scripts/USAGE.md for tools that prefer reading files under scripts/.

Parameters

Usage

python3 scripts/symtorch_client.py None

Example Output

None

---name: symtorchdescription: Approximate deep learning model components with symbolic equations using PySR---## symtorchApproximate deep learning model components with symbolic equations using PySR### Code repository<https://github.com/elizabethsztan/InterpretSR>**Use this as the implementation source:** clone the repo and follow its README for install, dependencies, and how to run code or experiments. The generated client prints JSON with a suggested ``git clone`` command.### Paper (arXiv — explanation)<https://arxiv.org/abs/2602.21307>This is the **paper** reference. The client can optionally fetch live Atom metadata (title, abstract) for agents; it does **not** run training or upstream research code by itself.### What “running” this client doesThe `*_client.py` script prints **JSON** that combines a **GitHub repository** (clone URL + suggested ``git clone``) with **optional paper context** from arXiv (live Atom metadata when **reference_url** is arXiv). Run the real code by cloning the repo and following its README — the skill is your agent-facing entrypoint, not a substitute for the repo’s install steps.To call a **REST API** instead, set ``BASE_URL`` in `scripts/symtorch_client.py` or wrap the upstream CLI with ``subprocess`` after clone.### How to run the method (from the source)Extracted for **operators and agents**. Confirm against the upstream repository or paper before relying on it in production.## Prerequisites- Python 3.7+- pip or conda package manager- PyTorch installation (typically installed as dependency)## InstallationInstall SymTorch from PyPI:```bashpip install torch-symbolic```## How to runThe README does not document specific CLI commands or entrypoints. Refer to the official documentation at [ReadTheDocs](https://symtorch.readthedocs.io/en/latest/) for usage examples and API reference.## ConfigurationNo environment variables or configuration files are documented in the README. See the [accompanying website](https://astroautomata.github.io/symtorch-web/) and full documentation for configuration details.*The same text lives in* ``scripts/USAGE.md`` *for tools that prefer reading files under* ``scripts/``*.*### Parameters### Usage```bashpython3 scripts/symtorch_client.py None```### Example Output```jsonNone```

Frequently asked questions

Symtorch