cfn-loop-output-processing

This Skill consolidates CFN Loop agent outputs by extracting confidence scores, parsing feedback, listing deliverables, and computing consensus across validators. It transforms raw agent output into type-safe Loop3Result and Loop2Result JSON structures via a CLI tool, enabling standardized decision-making in CI/CD workflows.

Yes. This Skill extracts confidence from 5+ pattern formats and supports multi-source consensus calculation across Loop 2 validators and Loop 3 implementers, consolidating diverse output styles into a single standardized JSON result.

This Skill parses feedback using severity-based classification and deduplicates recommendations across multiple validators, then structures them into type-safe interfaces. It handles iterative agent outputs while maintaining backward compatibility with existing JSON formats.

Yes. It's designed for CI/CD contexts where Loop 2 validators and Loop 3 implementers produce iterative outputs. The Skill consolidates multi-source consensus into a single result, supporting decision-making workflows that require agreement across multiple agents.

Yes. Built on TypeScript and Jest with 90%+ test coverage, it provides CLI tooling and type-safe interfaces. Dependencies include both for development and runtime, supporting rigorous validation of confidence extraction and consensus calculations.