name: promotion-gate description: Evaluate promotion readiness from flywheel outputs using statistical and economic gates, then produce a concise go/no-go decision note.
Promotion Gate
Use this skill when deciding whether a strategy candidate moves from research iteration to deeper validation.
What this skill does
- Reads flywheel output (
summary,promotion,costs). - Verifies required gates:
- realized Sharpe
- net Sharpe
- alignment guard
- event ordering guard
- Produces a decision summary with blocking reasons.
Core APIs
openquant.research.run_flywheel_iteration(...)openquant.pipeline.summarize_pipeline(...)
Decision contract
Required outputs:
promote_candidate(bool)- failed gate list
- key metrics (
realized_sharpe,net_sharpe,turnover,estimated_cost) - short rationale
Artifact source
decision.mdandmetrics.parquetin each experiment run folder.
Quality checks
uv run --python .venv/bin/python pytest python/tests/test_experiment_scaffold.py -q