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29-pact

Implement configurable envelopes, approval workflows, and tamper-evident audit chains for AI agent governance.

Updated Mar 23, 2026
Search Tags:#audit#ai#compliance#governance#policy#envelope#dtr-addressing
One-click install
npx skills add https://github.com/esperie/midas --skill 29-pact
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 29-pact
Source: https://github.com/esperie/midas/tree/main/.claude/skills/29-pact
Command: npx skills add https://github.com/esperie/midas --skill 29-pact

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PACT provides a rigorous governance framework to ensure D/T/R accountability, enforce operating envelopes, manage knowledge clearance, and verify agent behavior across AI organizations.

Core Features & Use Cases

  • D/T/R addressing grammar and hierarchical accountability for agents
  • Constraint envelopes, knowledge clearance, KSPs, and PactBridge for enforceable policies
  • Audit chaining and Kaizen integration for traceable governance

Quick Start

Install kailash-pact, define a minimal org, wrap a sample agent with PactGovernedAgent, and verify a simple action.

Frequently Asked Questions about 29-pact

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

FAQPage Schema
How do I enforce AI governance policies across autonomous agents?▼

AI governance policies are enforced using a configurable constraint envelope model, D/T/R addressing grammar, and approval workflows that restrict and verify autonomous agent actions.

What is D/T/R addressing for AI accountability?▼

D/T/R addressing is a hierarchical grammar that assigns accountability levels to AI agents, ensuring traceable governance and clear operational boundaries within an organization.

How do I create a tamper-evident audit trail for AI agent behavior?▼

A tamper-evident audit trail is generated through audit chaining, which records verified agent actions and integrates with Kaizen for continuous, traceable governance compliance.

How do I implement knowledge clearance and policy enforcement in AI ecosystems?▼

Knowledge clearance and policy enforcement are implemented via KSPs and PactBridge, which manage information access and apply enforceable operating envelopes to governed agents.

Can I apply compliance constraints to existing AI agents without rewriting them?▼

Existing AI agents can be wrapped with the PactGovernedAgent class to apply compliance constraints, requiring only a minimal organization definition to verify actions.

What are the limitations of using envelope models for AI compliance?▼

Envelope models require defining precise constraint boundaries and KSPs upfront; complex, ambiguous policies may need iterative configuration to achieve accurate governance enforcement.

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