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hermes - 💡(How to fix) Fix Skill Proposal: Scientific Paper Generation via CAJAL (Local LLM) [1 participants]

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NousResearch/hermes-agent#18835•Fetched 2026-05-03 04:54:00
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Proposal: CAJAL Paper Generation Skill for Hermes

What: Integration that adds a /paper command to Hermes for generating publication-ready scientific papers via local LLM.

Why this fits Hermes:

  • Hermes creates skills from experience — researchers could save successful paper prompts as reusable skills
  • CAJAL runs 100% local via Ollama, matching Hermes' privacy-first design
  • Zero API cost, zero external dependency
  • Tribunals (8-10 LLM judges) evaluate paper quality — fits Hermes' agent-orchestration philosophy

What CAJAL provides:

  • Structured generation (Abstract → Intro → Methods → Results → Discussion → Conclusion → References)
  • Real arXiv citations (no hallucinated references)
  • Quality scoring (tribunal system)
  • MIT licensed, open source

Integration approach:

  • Skill manifest + command handler
  • Ollama bridge (Hermes gateway already supports MCP)
  • Configurable via ~/.hermes/config.yaml

Repo with full implementation: https://github.com/Agnuxo1/cajal-hermes-skill

CAJAL main repo: https://github.com/Agnuxo1/CAJAL

This is a genuine contribution, not a product pitch. Happy to adapt to Hermes' skill conventions.

extent analysis

TL;DR

Review and integrate the proposed CAJAL paper generation skill into Hermes by evaluating its compatibility and implementing the necessary configuration and command handler.

Guidance

  • Examine the cajal-hermes-skill repository to understand the implementation details and ensure it aligns with Hermes' skill conventions.
  • Verify the Ollama bridge compatibility with the existing Hermes gateway and MCP support.
  • Review the ~/.hermes/config.yaml configuration options to ensure seamless integration with the CAJAL skill.
  • Evaluate the quality scoring and tribunal system to guarantee it fits Hermes' agent-orchestration philosophy.

Example

No code snippet is provided as the issue focuses on the proposal and integration approach rather than specific code implementation.

Notes

The success of this integration depends on the compatibility of CAJAL with Hermes' architecture and the quality of the implementation in the cajal-hermes-skill repository.

Recommendation

Apply workaround: Integrate the CAJAL paper generation skill into Hermes by following the proposed approach and evaluating its compatibility, as it seems to align with Hermes' design principles and offers valuable functionality.

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hermes - 💡(How to fix) Fix Skill Proposal: Scientific Paper Generation via CAJAL (Local LLM) [1 participants]