Ble Anima Minter

What This Skill Does

The Ble Anima Minter, developed by penguinx01, serves as a unique bridge between physical proximity data and blockchain-based asset generation. At its core, the skill utilizes Bluetooth Low Energy (BLE) scanning to detect hardware MAC addresses in the immediate vicinity. Once detected, the skill processes these identifiers through a SHA256 hashing algorithm, salted for uniqueness, to create what is known as a "proof-of-remnant." These remnants are then processed through AnimaChain logic to mint soulbound $ANIMA tokens, which are representative of the presence of hardware at a specific time and location. The resulting data is stored in a local Directed Acyclic Graph (DAG) node, ensuring that the digital history of detected devices remains organized and accessible.

Installation

To integrate this skill into your OpenClaw environment, use the following command in your terminal:

clawhub install openclaw/skills/skills/penguinx01/ble-anima-minter

Ensure that your host machine has appropriate Bluetooth hardware drivers installed and that the system user has permissions to access the BLE radio interface. After installation, navigate to the skill directory and execute the following commands to get started:

pip install -r requirements.txt python anima_minter.py

Use Cases

This skill is ideal for "witness" protocols where the presence of devices acts as a form of proof. It can be used for building decentralized physical infrastructure networks (DePIN), social proximity tracking, or experimental art installations where digital artifacts are generated based on the environment's hardware density. Researchers can also use the local DAG to analyze signal traffic patterns without exposing raw MAC addresses to external servers.

Example Prompts

1. "OpenClaw, initialize the Ble Anima Minter and begin scanning for nearby MAC addresses to mint $ANIMA tokens."
2. "Show me a summary of the current local DAG memory and how many unique remnants have been hashed today."
3. "Enable gossip-sync on the Anima Minter to share my discovered remnants with the wider node network."

Tips & Limitations

• Privacy First: Always ensure you are compliant with local data privacy regulations (like GDPR) when scanning for MAC addresses in public spaces.
• Hardware Compatibility: This skill requires a functional Bluetooth radio; ensure it is not blocked by system-level air-mode or kernel restrictions.
• Scaling: The local DAG can grow large over time; monitor storage if you are scanning in high-density environments like busy city centers or tech conferences.
• Salt Sensitivity: If you clear the local storage without backing up your salt, existing proofs-of-remnant cannot be reconstructed, effectively losing your $ANIMA records.