What is rag-assisted-chess-agent?

56/100
Trust Score (D)
⚠️ Use Caution

rag-assisted-chess-agent is a education that An agent-assisted chess analysis system combining Stockfish, RAG, and a modular web architecture, designed as an extensible foundation for future LLM-driven autonomy.. It has a Nerq Trust Score of 56/100 (D). 7 GitHub stars. Published by sparkup. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

56
TRUST SCORE
D
GRADE
7
STARS
0
DOWNLOADS

What rag-assisted-chess-agent Does

rag-assisted-chess-agent is a agent in the education category. An agent-assisted chess analysis system combining Stockfish, RAG, and a modular web architecture, designed as an extensible foundation for future LLM-driven autonomy.. It is published by sparkup and has no specified license. With 7 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use rag-assisted-chess-agent

rag-assisted-chess-agent is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorsparkup
Categoryeducation
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=sparkup-rag-assisted-chess-agent

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is rag-assisted-chess-agent used for?
rag-assisted-chess-agent is a education tool. An agent-assisted chess analysis system combining Stockfish, RAG, and a modular web architecture, designed as an extensible foundation for future LLM-driven autonomy..
Is rag-assisted-chess-agent free?
License: Check project page. rag-assisted-chess-agent has 7 GitHub stars.
Is rag-assisted-chess-agent safe?
rag-assisted-chess-agent has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to rag-assisted-chess-agent?
Top alternatives: Mr.-Ranedeer-AI-Tutor, hello-agents, owl. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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