edge-strategy-reviewer

To validate edge strategy drafts for overfitting risk and sample adequacy, you can run a Python-based quality gate that analyzes YAML drafts and returns a PASS, REVISE, or REJECT verdict with a confidence score and per-criterion findings.

Automating edge plausibility checks in a CI/CD pipeline is achieved by running a Python quality gate on YAML strategy drafts, which outputs YAML or JSON reports with optional Markdown summaries to gate downstream exports.

Yes, the edge strategy reviewer works with standard YAML files and Python 3.10+, requiring only the PyYAML dependency to parse strategy drafts and generate deterministic evaluation reports.

The strategy review process evaluates execution realism by analyzing YAML drafts against eight deterministic criteria, producing per-criteria findings and optional revision instructions for safe, auditable improvement.

Yes, you can get Markdown summaries alongside YAML or JSON outputs for quality gate verdicts, allowing you to integrate comprehensive review reports into CI/CD workflows or QA documentation.

You should reject a strategy draft instead of requesting a revision when the quality gate confidence score and per-criteria findings indicate insufficient sample adequacy or implausible edge hypotheses that fail the deterministic evaluation.