29-pact

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

Updated Mar 23, 2026
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.