What problem does it solve?
This Skill helps you design and apply PACT governance controls for AI agents, including D/T/R accountability addressing, constraint envelopes, knowledge clearance, and default-deny access enforcement.
Core Features & Use Cases
- GovernanceEngine decisioning: Compute effective constraint envelopes, evaluate actions, run multi-level verification, and produce audit-ready verdicts.
- Fail-closed access control: Use a 5-step clearance-and-containment algorithm (DEFAULT IS DENY) with KSPs and Pact Bridges for scoped sharing.
- Governed agents & middleware: Wrap agents to enforce policy before tool execution and integrate governance checks into custom frameworks (including MCP).
- Monotonic tightening & TOCTOU defenses: Apply envelope intersection with strict tightening validation and include version hashes in verdicts to prevent stale-snapshot misuse.
- Conformance and observability: Support normative conformance vectors (N1–N6), tiered audit durability, and structured observation sinks for monitoring.
Quick Start
Run the pact-governance-engine skill to set up a GovernanceEngine, attach envelopes, and call verify_action for a first governed decision.