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eatp-reference

Explain EATP trust lineage, verification gradients, and posture transitions.

Updated Apr 2, 2026
Search Tags:#delegation#ai-security#audit-trails#sdk-reference#eatp#trust-governance#posture-management
One-click install
npx skills add https://github.com/aliciapls/ML-Week-2---Healthcare --skill eatp-reference-aliciapls
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eatp-reference
Source: https://github.com/aliciapls/ML-Week-2---Healthcare/tree/main/.claude/skills/26-eatp-reference
Command: npx skills add https://github.com/aliciapls/ML-Week-2---Healthcare --skill eatp-reference-aliciapls

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill gives you a compact technical reference for EATP, the enterprise AI trust protocol, so you can explain trust lineage, verification, and governance without digging through multiple specs.

Core Features & Use Cases

  • Trust Lineage Concepts: Understand genesis, delegation, constraint envelopes, capability attestations, and audit anchors.
  • Verification and Governance: Compare trust postures, verification levels, and revocation behavior across enterprise agent workflows.
  • Implementation Guidance: Use the companion SDK references to build or review trust-aware Python systems, security controls, and persistence patterns.

Quick Start

Ask the skill to explain the EATP trust chain, verification gradient, and posture model for your current enterprise AI workflow.

Frequently Asked Questions about eatp-reference

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

FAQPage Schema
What is enterprise AI trust governance and how does trust lineage work?▼

Trust lineage tracks AI agent delegation chains from genesis through constraint envelopes, using capability attestations and audit anchors to verify secure enterprise workflow governance.

How do I implement verification gradients and posture transitions for AI security?▼

Implement verification gradients by mapping trust postures to revocation behaviors, enabling secure transitions between enterprise AI agent states using SDK reference patterns for hardened persistence.

How do signed reasoning traces support audit trails in enterprise AI workflows?▼

Signed reasoning traces create tamper-evident audit trails by cryptographically binding AI agent decisions to trust postures, enabling verification of delegation chains and secure storage compliance.

Can I compare trust postures and verification levels across different agent workflows?▼

Yes, you can compare trust postures and verification levels across enterprise agent workflows by evaluating revocation behavior and constraint envelopes to determine appropriate security controls.

What are the prerequisites for building trust-aware Python systems with EATP?▼

Building trust-aware Python systems requires understanding delegation models, verification gradients, and hardened persistence patterns to implement secure SDK references for enterprise AI governance.

When should I not use automated trust posture management for AI agents?▼

Avoid automated trust posture management when agent workflows lack defined constraint envelopes or signed reasoning traces, as proper verification requires explicit audit anchors and capability attestations.

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