golden-dataset-builderlisted
Install: claude install-skill Abhillashjadhav/PM-agent-OS
# Golden Dataset Builder
Real outputs, real human judgments, structured to last. A golden case without its human verdict and reason isn't golden — it's sand.
## Verification gates (defined first; output is blocked until all pass)
- **G1 — No unlabeled cases:** every golden carries the human verdict AND the human's reason. Cases missing either are quarantined with the specific ask ("needs verdict", "'fine I guess' — pass or fail, and why?") — never included, never auto-labeled, never upgraded from ambiguity.
- **G2 — Labels are the human's, verbatim:** reasons are stored as written; paraphrasing a reason into something stronger or cleaner corrupts provenance. Ambiguous verdicts go back as questions, not interpretations.
- **G3 — Set integrity:** duplicates collapsed to one case with provenance noted; the set report shows candidates → goldens + quarantined, verdict balance (a set of only passes tests nothing), and failure-pattern coverage.
## Steps
1. **Inventory the raw material:** every output-review pair, however informal. Nothing is discarded — cases split into golden-ready (verdict + reason) and quarantine (missing pieces, each with its unblock question).
2. **Structure each golden:** id · input (or reference) · output · verdict · reason (verbatim) · label author · date · the eval criterion it exercises (mapped where an eval exists; `unmapped` honestly otherwise — unmapped goldens are seeds for eval-engine, noted as such).
3. **Deduplicate** on output identity; keep o