What is standards-sdk?

52/100
Trust Score (D)
⚠️ Use Caution

standards-sdk is a AI tool that The Hashgraph Online Standards SDK provides a complete implementation of the Hiero Consensus Standards (HCS), giving developers all the tools needed to build wonderful decentralized applications on th. It has a Nerq Trust Score of 52/100 (D). 0 GitHub stars. Published by kantorcodes. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

52
TRUST SCORE
D
GRADE
0
STARS
12.6K
DOWNLOADS

What standards-sdk Does

standards-sdk is a tool in the AI tool category. The Hashgraph Online Standards SDK provides a complete implementation of the Hiero Consensus Standards (HCS), giving developers all the tools needed to build wonderful decentralized applications on the Hashgraph network. https://hol.org. It is published by kantorcodes and has no specified license. With 0 GitHub stars and 12.6K downloads, it has a small community of users and contributors.

Who Should Use standards-sdk

standards-sdk is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

Authorkantorcodes
CategoryAI tool
LicenseNot specified
Typetool
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=hashgraphonline-standards-sdk

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

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Frequently Asked Questions

What is standards-sdk used for?
standards-sdk is a AI tool tool. The Hashgraph Online Standards SDK provides a complete implementation of the Hiero Consensus Standards (HCS), giving developers all the tools needed to build wonderful decentralized applications on th.
Is standards-sdk free?
License: Check project page. standards-sdk has 0 GitHub stars.
Is standards-sdk safe?
standards-sdk has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to standards-sdk?
Top alternatives: openclaw, tensorflow, AutoGPT. See full comparison.

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

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