receipt-stream

What problem does it solve?

It ensures a durable, auditable learning signal for the protocol by producing per-cycle iteration artifacts (cdd-iteration.md) and updating a persistent cross-cycle index (INDEX.md) so ε can surface patterns across cycles.

Core Features & Use Cases

• Per-cycle artifact generation: writes a structured cdd-iteration.md with the canonical finding shape for γ-closeouts and ε reviews.
• Cross-cycle aggregation: appends a row to .cdd/iterations/INDEX.md after each cycle that produces an iteration artifact.
• Lifecycle tracing: guarantees alignment between cycle close-outs, artifacts, and their cross-repo traces, preserving auditability and learning signals.

Quick Start

Create the per-cycle cdd-iteration.md during cycle close-out and update INDEX.md accordingly.