Can this be used for blockchain development?

Yes, it is specifically designed for blockchain use cases such as verifying transaction inclusion, state proofs, and whitelist memberships in smart contracts.

Which programming languages are supported by this skill?

The skill provides implementation patterns for both Python (standard cryptographic libraries) and Move (Aptos framework).

What is Merkle Proof Validation used for?

It is used to prove that a specific piece of data (a leaf) belongs to a larger dataset represented by a Merkle Root, without needing to download or process the entire dataset.

How does this skill handle different hashing algorithms?

It primarily utilizes SHA-256 for Python implementations and SHA3-256 for Move-based on-chain verification.

Merkle Proof Validator

Name: Merkle Proof Validator
Author: plurigrid

byplurigrid

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Seguridad y Pruebas

Validates cryptographic Merkle inclusion proofs to verify data membership within a tree structure without requiring the full dataset.

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The Merkle Proof Validation skill enables Claude to perform rigorous cryptographic verification of leaf inclusion within Merkle trees. It provides ready-to-use implementations in Python and the Move programming language, allowing developers to ensure data integrity and trustless membership verification. This skill is essential for decentralized systems, blockchain development, and secure hierarchical data management where verifying specific elements against a root hash is a core requirement.

Características Principales

Cross-platform verification logic for both Python and Aptos Move
Efficient proof path traversal for sibling hash verification
2 GitHub stars
Cryptographic hash pair generation using SHA-256 and SHA3-256
Support for hierarchical tile inclusion validation (IECsat)
GF(3) balanced logic integration for validator roles

Casos de Uso

Verifying blockchain transaction inclusion in a specific block header
Validating data integrity in distributed topological systems
Implementing on-chain Merkle proof verification for smart contracts

Acerca de

Características Principales

Cross-platform verification logic for both Python and Aptos Move
Efficient proof path traversal for sibling hash verification
2 GitHub stars
Cryptographic hash pair generation using SHA-256 and SHA3-256
Support for hierarchical tile inclusion validation (IECsat)
GF(3) balanced logic integration for validator roles

Casos de Uso

Verifying blockchain transaction inclusion in a specific block header
Validating data integrity in distributed topological systems
Implementing on-chain Merkle proof verification for smart contracts