project-completeness-scorer

Project completeness scoring evaluates functional requirements, test coverage, documentation, and deployment readiness using a weighted 0–100 rubric. It works by applying template-driven criteria to classify gaps by severity and effort, generating prioritized remediation actions for release gate checks.

You can run a Python/argparse CLI on your project folder to evaluate deliverables against a weighted scoring template. The CLI processes the directory, calculates a 0–100 completeness score, classifies gaps by severity and effort, and outputs both JSON and Markdown reports for review.

Yes, this approach suits any code, doc, or config repository evaluated during milestones or release readiness checks. It applies template-driven weighted scoring to assess functional requirements, quality standards, and deployment readiness, generating actionable gap classifications for stakeholder handoffs.

This Skill is specifically designed for reviewing code, doc, and config repositories during milestones, release readiness checks, and handoff planning. It applies template-driven weighted scoring to evaluate deliverables and generate prioritized action items for stakeholder alignment.

It evaluates functional requirements, quality standards, test coverage, documentation, and deployment readiness using a template-driven weighted rubric. The mechanism applies these criteria to classify unmet requirements by severity and estimate remediation effort for prioritized action generation.