aggregate-decode-proposals

Aggregating decode outputs into a proposals.yaml index requires running the Skill with your decoded proposals root, test-run reports, citation-integrity reports, features.yaml path, and product base path to consolidate per-unit specs and verification artifacts into a master index.

Baseline_green computation is a deterministic process that associates each decoded unit with its test-run report and citation-integrity report. It calculates the verification status to ensure extracted specs are validated before promotion to product LTM.

Proposal classification for enrichment versus addition resolves Tier 2 versus Tier 3 by checking whether matching entries already exist in the product LTM and features.yaml. It then outputs correct targets for downstream enrichment operations.

Yes, proposals.yaml aggregation requires prior decode extraction, specification, test generation, execution, and citation verification. The Skill joins these completed test-run and citation-integrity reports with per-unit behavioral, flow, and aspect specs.

Decode proposal aggregation implements strict failure reporting when tier resolution cannot be established or reports are missing. This prevents incomplete or unverified specifications from being promoted into the product LTM via the proposals.yaml index.