Suggestion: add a “WFGY self-healing LLM” example agent

[onestardao]

Hi, thanks for releasing Paper2Agent. The idea of turning a single paper into an interactive agent is very powerful.

I would like to ask whether a self-healing LLM paper would be in scope as an example agent.

Project: WFGY
Repo: https://github.com/onestardao/WFGY
Paper:
https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf

What WFGY 1.0 is
WFGY 1.0 is a PDF that treats an LLM as a system that can diagnose and repair its own answers.
The paper defines a small set of modules and prompts that help a model:

• notice when its reasoning is inconsistent with earlier steps
• run a quick internal "clinic" before giving the final answer
• explain what changed during the repair step

Why it might fit Paper2Agent
Paper2Agent is perfect for this kind of content.
Instead of asking normal domain questions, a user could:

1. Upload the WFGY 1.0 PDF as the source paper.
2. Spawn a "WFGY Agent" whose job is to:
   • explain the self-healing modules in simple language, and
   • act as a debugging coach for other agents or prompts.

This gives users a concrete example of a "meta" agent: not answering physics or biology questions, but helping you debug your own LLM pipelines and prompts.

Possible integration
If you think this is reasonable, I could suggest a small example section like:

Example:

WFGY 1.0 – a self-healing LLM framework
Source: WFGY repo (MIT licensed).
This example shows how to create an agent that explains and applies a self-healing framework to other conversations.

If this feels out of scope for the project, no problem at all.
Thank you again for sharing Paper2Agent with the community.