heady-trust-receipts

Design auditable trust receipts with schema, playback, and consent records.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Heady Trust Receipts provide a structured, tamper-evident way to record and replay agent actions for auditability, accountability, and user trust.

Core Features & Use Cases

  • Schema design for receipts capturing actor, action, context, authorization, and artifacts
  • Action playback to reproduce steps and rationale for decisions
  • Consent and compliance reporting with tamper-evidence and checkpoints
  • Transparency dashboards and risk/audit reports for governance

Quick Start

Design and implement a trust receipt system for auditing agent actions in your workspace.

Frequently Asked Questions about heady-trust-receipts

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

FAQPage Schema
What are auditable action logs for AI agents and when do I need them?

Auditable action logs are structured, tamper-evident records that capture agent actions, context, and authorization. You need them when building AI workflows that require accountability, user consent tracking, and compliance reporting.

How do I implement a trust receipt schema for agent action playback?

You implement a trust receipt schema by defining structured records that capture the actor, action, context, authorization, and artifacts. This schema enables action playback to reproduce steps and trace the rationale behind agent decisions.

How do I generate compliance reports with tamper-evidence for AI workflows?

You generate compliance reports by utilizing trust receipts with built-in checkpoints and tamper-evident mechanisms. This ensures end-to-end traceability of consent records and agent actions across your workflows for auditing purposes.

Can I use trust receipts to build transparency dashboards for AI governance?

Yes, trust receipts provide the foundational data for transparency dashboards and risk audit reports. By capturing authorization and context, they enable governance teams to monitor agent accountability and compliance effectively.

Does this approach enforce specific formatting requirements for consent records?

Yes, the mechanism enforces strict frontmatter requirements and clear receipt schemas for consent formats. This structured approach ensures that all agent actions and authorizations are recorded consistently for reliable compliance reporting.

What is the best way to ensure end-to-end traceability of AI agent decisions?

The best way to ensure traceability is using tamper-evident trust receipts that capture actor, action, and context. This allows you to replay agent actions and reproduce the exact steps and rationale for any decision made.