What is Michaelnevado27?
Michaelnevado27 is a AI tool that ERC-8004: Trustless Agents is an Ethereum standard designed to enable autonomous AI agents to discover, verify, and interact with each other across different organizations without needing prior trust . It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x80a0252d02b75c02cfa352114ade8fd726f998e1. Last analyzed October 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 Michaelnevado27 Does
Michaelnevado27 is a agent in the AI tool category. ERC-8004: Trustless Agents is an Ethereum standard designed to enable autonomous AI agents to discover, verify, and interact with each other across different organizations without needing prior trust relationships. Proposed in 2025 and co-authored by experts from MetaMask, Ethereum Foundation, Goog. It is published by 0x80a0252d02b75c02cfa352114ade8fd726f998e1 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Michaelnevado27
Michaelnevado27 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0x80a0252d02b75c02cfa352114ade8fd726f998e1 |
|---|---|
| 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=michaelnevado27
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.