What is CommandLayer?

39/100
Trust Score (E)
🔴 Avoid

CommandLayer is a AI tool that Semantic verb and receipt layer for autonomous agents � ERC-8004 identity, Ed25519 signed receipts, ENS verb namespace, x402 micropayments on Base. Commons verbs free. Built on Ethereum.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc. Last analyzed April 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What CommandLayer Does

CommandLayer is a agent in the AI tool category. Semantic verb and receipt layer for autonomous agents � ERC-8004 identity, Ed25519 signed receipts, ENS verb namespace, x402 micropayments on Base. Commons verbs free. Built on Ethereum.. It is published by 0x6ffa1e00509d8b625c2f061d7db07893b37199bc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use CommandLayer

CommandLayer is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x6ffa1e00509d8b625c2f061d7db07893b37199bc
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=commandlayer

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

Safer Alternatives

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Frequently Asked Questions

What is CommandLayer used for?
CommandLayer is a AI tool tool. Semantic verb and receipt layer for autonomous agents � ERC-8004 identity, Ed25519 signed receipts, ENS verb namespace, x402 micropayments on Base. Commons verbs free. Built on Ethereum..
Is CommandLayer free?
License: Check project page. CommandLayer has 0 GitHub stars.
Is CommandLayer safe?
CommandLayer has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to CommandLayer?
Top alternatives: SceneView, Tencent CloudBase, Nuxt.js. See full comparison.

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

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