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29-pact

Enforce D/T/R addressing, constraint envelopes, and knowledge clearance for AI agent governance.

Updated Apr 2, 2026
Search Tags:#mcp#governance#pact#envelope#dtr-addressing#knowledge-clearance
One-click install
npx skills add https://github.com/shobhit-16/Disease-Risk-classifier --skill 29-pact-shobhit-16
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 29-pact
Source: https://github.com/shobhit-16/Disease-Risk-classifier/tree/main/.claude/skills/29-pact
Command: npx skills add https://github.com/shobhit-16/Disease-Risk-classifier --skill 29-pact-shobhit-16

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PACT governance framework provides a structured blueprint to enforce D/T/R addressing, constraint envelopes, knowledge clearance, and verification gradients for AI agent organizations.

This description serves as a reference for governance patterns and practical integration across the PACT stack.

Core Features & Use Cases

  • D/T/R addressing grammar and accountability chains
  • Constraint envelopes, envelope intersection, and TOCTOU defense
  • Knowledge clearance, KSPs, bridges, and MCP governance patterns
  • Guidance for integrating GovernanceEngine and PactGovernedAgent in production

Quick Start

Load your org YAML, initialize GovernanceEngine, and verify a role's action against PACT governance constraints.

Frequently Asked Questions about 29-pact

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

FAQPage Schema
How do I enforce governance constraints for AI agents?▼

AI agent governance is enforced by applying D/T/R addressing, constraint envelopes, and knowledge clearance patterns to verify role actions against structured policy rules before execution.

What is D/T/R addressing and how does it work in AI governance?▼

D/T/R addressing is a grammar system that establishes accountability chains for AI agents by mapping roles, tasks, and resources to enforce strict governance boundaries across operations.

How do I implement constraint envelopes to prevent TOCTOU vulnerabilities in AI agents?▼

Constraint envelopes prevent TOCTOU vulnerabilities by defining strict intersection boundaries for agent actions, ensuring verified states remain valid throughout the execution lifecycle without race conditions.

Does MCP governance work with existing PACT stack components like GovernanceEngine?▼

MCP governance integrates directly with the PACT stack by applying knowledge clearance rules and verification gradients through the GovernanceEngine and PactGovernedAgent components in production environments.

How do I verify a role's action against PACT governance constraints?▼

Role action verification requires loading your organization YAML configuration, initializing the GovernanceEngine, and validating the requested action against D/T/R addressing and constraint envelope boundaries.

When should I use knowledge clearance and KSP bridges for AI agent orchestration?▼

Knowledge clearance with KSP bridges is necessary when AI agents require controlled access to restricted information domains, ensuring verification gradients and accountability chains are maintained across MCP governance patterns.

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