pharaoh-coverage-gap

A gap detection scan identifies needs matching a specific category like orphan or unverified within a sphinx-needs corpus. It applies detection rules to the needs map, returning an ordered list of matches with evidence for auditing and remediation.

Sphinx-needs gap detection improves traceability by scanning your corpus for single gap categories such as duplicate, contradictory, or lifecycle issues. It produces an ordered list of matching needs with evidence, enabling quick remediation before audits or releases.

No, this scan is designed for a single gap category at a time. You select one specific category like duplicate, contradictory, or lifecycle, and the scan returns an ordered list of matching needs with evidence across that specific category.

Run a gap detection scan for the unverified category to generate a JSON audit report. The output details the category, an ordered list of matching needs, and evidence suitable for traceability auditing and remediation.

Sphinx-needs gap detection has no external dependencies. It applies detection rules directly to the needs map within your existing corpus to identify gaps and return an ordered list of matches with evidence.

Run a targeted single-category scan for lifecycle gaps. This approach applies lifecycle detection rules to the needs map, producing an ordered list of matching needs and evidence for quick remediation before releases.