skill-5b-semantic-edge-verification

To semantically verify unmatched concerns, you audit strict edges by cross-referencing match graphs with official and agentic concern sheets to validate edge quality and produce structured override judgments.

You generate override judgments by reading pre-generated audit worksheets and related context to validate edge quality, then exporting an overrides YAML file for downstream metric computation and recalibration.

Semantic edge verification is the process of auditing strict edges and unmatched concerns across papers to validate alignment quality, returning structured override judgments for metric recomputation.

Yes, semantic edge verification requires a pre-generated audit worksheet produced by the prior semantic audit workflow, along with match graphs and related concern sheets to cross-reference edge quality.

Semantic edge verification outputs a semantic_overrides.yaml file for metric recomputation, along with a verification_summary report documenting missed matches and phantom checks for traceable audit trails.

Automated semantic edge verification is not suitable without the initial audit worksheet and related context sheets, as it depends on cross-referencing existing match graphs to validate edge quality across papers.