What is Yield-Farmer - Goo?
Yield-Farmer - Goo is a AI tool that Automated yield farming agent that rotates capital across BSC lending and liquidity protocols to maximize risk-adjusted APY. YFX continuously monitors farm rewards, calculates impermanent loss exposur. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xd37be1f5122d733b8e935840daedb2415933eb5d. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Yield-Farmer - Goo Does
Yield-Farmer - Goo is a agent in the AI tool category. Automated yield farming agent that rotates capital across BSC lending and liquidity protocols to maximize risk-adjusted APY. YFX continuously monitors farm rewards, calculates impermanent loss exposure, and rebalances positions to maintain optimal capital efficiency across Venus, Alpaca, and Pancake. It is published by 0xd37be1f5122d733b8e935840daedb2415933eb5d and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Yield-Farmer - Goo
Yield-Farmer - Goo is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xd37be1f5122d733b8e935840daedb2415933eb5d |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=yield-farmer-goo
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.