heady-oracle-chain

Sign AI decision receipts and link them into a verifiable hash chain.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-oracle-chain
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heady-oracle-chain
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-oracle-chain
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-oracle-chain

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Organizations need verifiable, tamper-proof records of AI decisions to meet governance, compliance, and audit requirements.

Core Features & Use Cases

  • Cryptographic receipts: every significant decision is signed and linked in a chain for integrity.
  • Audit-ready exports: generate compliance reports and semantic search over past decisions using embedded reasoning traces.
  • End-to-end governance: supports SOC 2, GDPR, and enterprise governance workflows.

Quick Start

Start by initializing the Oracle Chain with your signing and embedding providers, then begin recording receipts for significant decisions.

Frequently Asked Questions about heady-oracle-chain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create auditable AI decisions with cryptographic receipts?

To create auditable AI decisions, the system signs every significant output with Ed25519 and links them in a verifiable hash chain. This produces tamper-proof records suitable for governance, compliance logging, and explainable AI workflows.

What is an audit trail for AI governance and when do I need it?

An AI governance audit trail is a verifiable, tamper-proof record of AI decisions used to meet compliance requirements. You need it when organizations must provide SOC 2, GDPR, or enterprise governance reporting over past automated decisions.

Does generating an explainable AI audit trail require Neon Postgres storage?

Generating an explainable AI audit trail requires Neon Postgres storage to enable semantic search over past decisions. It uses 384-dimensional embeddings for reasoning traces and requires Ed25519 cryptographic signing to ensure receipt integrity.

What's the best way to export compliance reports from an AI decision audit trail?

The best way to export compliance reports is to use the audit-ready export feature over the signed hash chain. This generates compliance reports and performs semantic search over past decisions using embedded reasoning traces.

When should I not use a Merkle hash chain for AI audit logging?

You should not use a Merkle hash chain for AI audit logging if your environment lacks Ed25519 signing capabilities or cannot support Neon Postgres storage for 384-dimensional embeddings. These dependencies are strictly required to maintain verifiable decision integrity.